Crypto-related thefts declined in June after several months of heavy losses, although attackers continued targeting blockchain projects through private key compromises and bridge vulnerabilities. Blockchain security firm PeckShield reported about $75.9 million stolen across 40 major incidents, marking a 7.1% decrease from May's $81.7 million.Even so, the monthly decline did little to slow the year's overall losses. Data from blockchain intelligence firm TRM Labs showed crypto hacks and exploits have already cost the industry more than $750 million in 2026, with two large attacks recorded earlier this year accounting for a major share of that total.Humanity Protocol Records June's Largest ExploitHumanity Protocol recorded the biggest security breach during June. PeckShield estimated the exploit at about $31 million, while the project's internal investigation later placed losses closer to $36 million. According to the project, attackers gained access after compromising a private key linked to the protocol's bridge administration.Founder Terence Kwok said the breach resulted from a compromised private key. Humanity Protocol also stated that attackers accessed bridge administration on Ethereum and BNB Chain after compromising a developer's laptop. The project said the incident allowed hackers to drain wallets and mint about 447 million H tokens. Reports also stated that the exploit triggered an 80% to 90% decline in the token's market price. Humanity Protocol added that it is preparing a recovery plan, including a possible 1:1 token airdrop for affected users. Meanwhile, reports linked the attack to North Korea's Lazarus Group, although investigations remain ongoing.Kwok said, "The breach resulted from a compromised private key." The company also confirmed that the recovery process remains under development while investigators continue tracing the stolen assets.Bridge Exploits and Protocol Attacks ContinueBeyond Humanity Protocol, several blockchain projects also suffered large losses during June. PeckShield reported that Syscoin Bridge lost about $10 million after attackers exploited a validation flaw that allowed billions of unsupported SYS tokens to be minted without the required token burn.A bot associated with the address JaredFromSubway. eth also lost about $7.5 million after being targeted by another exploit. Other affected platforms included Secret Network, Polymarket users, SecondFi and TESSERA, with reported losses ranging between $2.4 million and $4.67 million.Meanwhile, Aztec's deprecated infrastructure was exploited twice during the month. PeckShield tracked approximately $2.16 million stolen from Aztec Bridge and another $2.1 million from Aztec Connect. According to the Aztec Foundation, both immutable contracts are no longer under its control and cannot be paused. Combined losses reached about $4 million.The remaining projects in PeckShield's top ten included Taiko Bridge, Token of Power, Raydium and LABUBU/OLPC, with each incident resulting in losses exceeding $1 million.Crypto Losses Remain High in 2026Although June recorded a lower monthly total, overall crypto losses during 2026 remain elevated. TRM Labs estimated that hackers have already stolen more than $750 million this year. According to the firm, two attacks linked to North Korea accounted for much of those losses.On April 1, Drift Protocol lost about $285 million after attackers reportedly spent months using social engineering tactics against governance signers. Later, on April 18, Kelp DAO's LayerZero bridge lost approximately $292 million after attackers compromised its verifier network.Meanwhile, PeckShield reported that the Humanity Protocol exploiter has moved stolen assets across Bitcoin, Solana, Hyperliquid, and BNB Chain. The firm also found that some funds were mixed with assets connected to the separate Kelp DAO exploit. PeckShield said this pattern ‘raises the possibility the same threat actor is behind both attacks,’ though no final attribution has been confirmed.Also Read: April 2026 Crypto Hacks Hit $606M in 18 Days Across DeFi PlatformsJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview: AI is reshaping business strategy and workforce planning, but its impact varies widely depending on leadership, organizational readiness, and adoption strategies.Research shows AI is changing the nature of work more than eliminating jobs, increasing demand for leadership, critical thinking, creativity, and strategic decision-making.Business leaders are shifting their focus from automation to workforce transformation, emphasizing reskilling, responsible AI adoption, and long-term organizational capability.Artificial intelligence is reshaping the workplace, but its impact remains far from uniform. While some organizations have yet to see measurable improvements in productivity or workforce outcomes from AI adoption, while others are reporting significant gains in operational efficiency and business performance. Recent research highlights this contrast: executive surveys show limited short-term impact in many companies, while broader labour market analyses indicate that AI-driven organizations are achieving faster productivity growth and placing greater value on human skills such as leadership, creativity, and judgment. This evolving landscape underscores the importance of understanding how business leaders are integrating AI into strategy, talent management, and decision-making.  Two Tracks are Opening and They're Pulling in Opposite DirectionsPwC's research describes what it calls a two-track labour market. Some roles are being ‘professionalised' by AI and are made more expert, more complex, more valuable. These roles are growing twice as fast as those being ‘democratized ’, made simpler, and accessible to less-skilled workers. The wage gap between the two tracks has widened 42% since 2021. For business leaders, the strategic read is uncomfortable: AI is amplifying the gap between high-value and low-value work, not compressing it.The most striking data point from PwC: junior roles in the most AI-exposed jobs are now seven times more likely to require skills traditionally associated with senior-level work: leadership, strategic thinking, and stakeholder management. The career ladder is compressing. Entry-level roles in AI-exposed organisations are no longer genuinely entry-level in terms of the demands they entail.Also Read: Executive Productivity in 2026: Tools Every Business Leader UsesWhy Most Organizations are Getting Zero ReturnDespite the $40 billion investment in generative AI, 95% of organizations are getting zero return as of 2025. The limiting factor isn't model quality or access to tools; it's leadership structure. Microsoft's Work Trend Index, surveying 20,000 workers across ten countries, found organizational factors (culture, management support, governance) account for twice the variance in AI impact compared to any individual skill or effort.According to the WEF Chief Strategy Officers Dialogue, 2026, the future of jobs will be shaped less by technology than by leadership choices, particularly around inclusive reskilling, responsible AI, and the ability to anticipate signals from technology, policy, and labour markets.What the Research Actually Agrees onThe Strategic Questions Leaders are Actually AskingBCG's April 2026 workforce analysis makes a point that cuts through both optimism and alarm: task automation is not the same as job loss. Most roles will remain, but their content will shift substantially. A BCG framework distinguishes between roles where AI absorbs expert tasks (which tends to lower wages and increase employment) versus roles where AI absorbs routine tasks (which tends to raise wages and reduce headcount). The accounting clerk versus inventory clerk comparison illustrates this precisely: both roles saw routine task automation, but accountants saw wages rise and headcount fall, while inventory clerks saw wages fall and headcount grow.The implication for strategy: organizations that treat AI as a simple automation question- what can we eliminate? will get the wrong answer. The correct question, which MIT's researchers frame explicitly, is whether a given task should be automated at all and what happens to the expertise level of the remaining work if it is. Also Read: CEO Priorities for 2026: What Business Leaders Need to Focus OnWhere the Leadership Gap Actually SitsOnly 26% of AI users surveyed by Microsoft said their leadership is clearly aligned on AI strategy. That statistic has stayed roughly constant for two years. Leadership teams that talk about AI in strategy documents but haven't changed performance metrics, incentive structures, or onboarding programs are experiencing what Microsoft calls the Transformation Paradox: employees ready to work differently, inside systems still rewarding the old way.The WEF's blueprint is blunt on what closes this gap: connecting strategy to skills, shifting from services to IP-led value creation, and redesigning work so people and AI perform together. The organizations getting results aren't treating AI as a cost-cutting project. They're treating it as a capability redesign and building the human skills that make the AI capabilities worth having.Artificial intelligence is no longer just a technology initiative, it has become a business transformation priority. Leaders who successfully integrate AI into strategy, talent development, and operations will be better positioned to improve productivity, strengthen competitiveness, and prepare their organizations for the evolving future of work. Why this MattersYou May Also Like10 Must-Read AI Books for Entrepreneurs and Business Leaders in 2026Satya Nadella and the Microsoft Reset: How a Quiet Leader Rebuilt a Tech GiantAI and the C-Suite: What Business Leaders Need to Understand TodayFAQsHow is artificial intelligence changing the future of work?Artificial intelligence is changing the nature of work by automating repetitive tasks, supporting better decision-making, and increasing demand for skills such as leadership, creativity, and critical thinking. Most experts believe AI will redesign jobs rather than replace them entirely, requiring continuous learning and workforce adaptation.Will AI replace jobs or create new opportunities?Current research suggests AI is more likely to transform existing roles than eliminate them. While certain routine tasks may be automated, organizations are also creating new positions focused on AI management, governance, data analysis, and human-AI collaboration, resulting in evolving career opportunities.What skills will become more valuable in an AI-driven workplace?Leadership, communication, strategic thinking, creativity, emotional intelligence, problem-solving, and collaboration are becoming increasingly valuable. As AI automates routine work, employees who can make complex decisions, manage teams, and apply human judgment will become even more important to organizations.How should business leaders prepare their workforce for AI?Business leaders should invest in continuous learning, reskilling programs, responsible AI governance, and organizational change management. Preparing employees to work alongside AI technologies helps improve productivity while ensuring businesses remain competitive as technology continues to evolve rapidly.What industries are experiencing the biggest impact from AI?Industries including finance, healthcare, manufacturing, retail, customer service, technology, and professional services are experiencing significant AI-driven transformation. These sectors are using AI to improve operational efficiency, automate repetitive tasks, enhance customer experiences, and support better business decisions.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Discover top tablet pens compatible with iPad, Android, and Windows devices for every budget and workflow.Compare essential stylus features including pressure sensitivity, charging methods, compatibility, and productivity-focused capabilities before purchasing.Find the ideal tablet pen for note-taking, sketching, studying, creative work, and professional productivity tasks.Global demand for tablets continues to rise, and so does the need for capable stylus pens. Worldwide tablet shipments reached 151.9 million units in 2025, marking a 5% year-on-year increase, according to IDC. The global stylus pen market was valued at $19.45 billion and is projected to exceed $40 billion by 2034.Top Stylus Pens For iPad, Android, Windows Tablets With more users embracing digital notetaking, sketching, and hybrid working, selecting a compatible stylus has become as crucial as selecting the tablet itself.Apple Pen Pro Apple Pencil Pro is the highest-performing stylus designed specifically for creators and professionals. This stylus features pressure, tilt sensing, haptics, squeezing, barrel rotation, and Find My capabilities. Apple Pencil Pro can be magnetically docked and charged to compatible iPads.Buy Now!Apple Pencil Apple Pencil (USB-C) makes for an excellent iPad stylus that does not cost a great deal if you want quality and reliability. This stylus offers pixel-level accuracy, tilt functionality, magnetic attachment, and USB-C charging. Pressure sensitivity may be missing from the list, but it works well for annotation.Buy Now!Samsung S Pen Samsung's S Pen is included with many Samsung Galaxy Tab models and is among the most affordable styluses on the market. This stylus includes 4,096 pressure levels, low latency, palm rejection technology, and tilt functionality. It does not require charging to function properly.Buy Now!Also Read: Top 10 Pen Mouse You Should Know AboutXiaomi Focus Pen Xiaomi Focus Pen is specifically designed for Xiaomi Pad series tablets. The pen features 8,192 levels of pressure sensitivity, shortcut buttons, and USB-C charging. It gives you an accurate writing and drawing tool at an affordable price.Buy Now!Microsoft Surface Slim Pen 2 Surface Slim Pen 2 is designed to work flawlessly with any Microsoft Surface device. The pen has 4,096 pressure levels, supports tilt, provides haptic feedback, and supports wireless charging. It has a comfortable grip and is ideal for note-taking and sketching with Windows Ink.Buy Now!Lenovo Digital Pen 2 Lenovo Digital Pen 2 is a good choice for all compatible Lenovo tablets and Windows computers. It offers pressure sensitivity of up to 4,096 levels, tilt recognition, custom buttons, and long battery life. This ergonomic pen will suit both students and professionals.Buy Now!Tablet Pen Features Compared Side-By-Side Also Read: Best Stylus Pens for Laptop in India 2026Final TakeThe right tablet pen depends on the device you use and how you plan to use it. The use of advanced styluses with features such as pressure sensitivity and tilt may benefit artists. In contrast, affordable mid-range styluses may be more advantageous for students and professionals in terms of cost savings. One must consider the stylus's compatibility with their tablets before purchasing.You May Also Like:Best Tablet With Pen Under Rs. 20,000 in 2026Best Tablets With Pen for Artists & Creative ProfessionalsSamsung Galaxy Z Fold 7: Bigger Display, Slimmer Design, but No Traditional S Pen?FAQsWhich tablet pen is best for iPads in 2026?Apple Pencil Pro is the best choice for compatible iPads, offering pressure sensitivity, tilt support, haptic feedback, and wireless charging. Apple Pencil (USB-C) is a more affordable alternative for everyday note-taking, document annotation, and casual creative work.Can I use the same stylus on iPad, Android, and Windows tablets?Most active styluses are built for specific tablet ecosystems and may not work across different brands. Universal capacitive styluses offer broader compatibility but usually lack premium features such as pressure sensitivity, palm rejection, and tilt support.Is pressure sensitivity important in a tablet pen?Pressure sensitivity is especially valuable for artists, designers, and illustrators because it allows natural line variation while drawing. For students and professionals focused on writing or annotating documents, it is less important.Does the Samsung S Pen require charging?The Samsung S Pen does not need charging for regular writing, drawing, or navigation. However, Bluetooth-enabled Air Actions available on select Galaxy Tab models may require the stylus to be charged periodically.What should I consider before buying a tablet pen?Before purchasing, check whether the stylus is compatible with your tablet model. Also compare features such as pressure sensitivity, tilt support, palm rejection, charging method, battery life, and overall comfort for your intended use.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

With so many notifications, applications, to-do lists, and other digital resources available, staying organized should be easier than ever. However, there are still many people who find it challenging to manage important dates, tasks, and goals. This fact has created an ongoing battle between digital and physical calendars. A traditional calendar provides ample opportunity to make last-minute entries and modify them as needed, whereas a digital calendar allows you to manage all changes instantly, but can create distractions when using a digital device for other tasks.Even though recording appointments is just one component of a complete organizational strategy, the purpose of this strategy is to establish a system that will enable you to concentrate on your work, manage your time properly, and fulfil your commitments. Since there is no single method of organization that is the right fit for every person, once you can evaluate the advantages and disadvantages of digital and physical calendar systems, you will be able to identify the one that best meets your requirements.Let’s discuss more about digital vs printable calendars in this detailed guide.Where Digital Calendars Have a Clear AdvantageDigital calendars are one of the best ways to deal with a disorganized routine. They just kind of fit into your lifestyle, because you’re carrying your phone with you most of the day. When you need to add something, reschedule a plan, or set a reminder, it’s fast, easy and honestly low effort.Here's where digital calendars pull ahead in a real way:Real-time syncing across all your devices without any manual effortShared access so your team, family, or colleagues always know what's going onAutomated reminders that actually go off exactly when you need themSuper easy rescheduling when plans change without any erasing or reprintingIntegration with email, task apps, and the other tools you're already using If your schedule changes constantly and flexibility is the thing you need most, a digital setup is genuinely built for that. It handles the fast-moving stuff really well.Where Printable Calendars WinHere's where it gets really interesting. Printable calendars have a kind of quiet power that digital tools honestly can't always replicate. There's actual research behind this too. When you write something down by hand, you process it more deeply than when you type it or tap it into an app. So a printed calendar you fill in yourself isn't just tracking your schedule; it's helping you actually remember and commit to it.A digital vs printable calendar comparison also has to include screen fatigue, because it's real. A lot of people are already spending eight or more hours a day staring at screens for work. Adding your personal planning to that same screen blurs the line between work mode and everything else. A printed calendar on your wall creates a physical boundary that helps your brain actually switch off from the digital noise. That is one reason platforms like CalendarKart continue to appeal to people who want simple and clean planning tools that feel practical instead of overwhelming. A 2025 review published in Life and indexed on NIH PubMed Central found that handwriting activates the motor cortex and visuospatial brain regions simultaneously  engaging significantly more neural circuits than typing, which primarily activates only linguistic processing. That deeper cognitive engagement is exactly why writing your plans into a printable calendar helps you actually commit to them, rather than just logging them somewhere you will scroll past tomorrow. The Biggest Advantage of Printable CalendarsWhat people love about printable calendars is the fact that they can see them. They can be put on your wall, on your desk, or near your workstation and you'll instantly know what your month will look like.Many also feel less stressed when they can physically visualize their plans. Templates like the July 2026 calendar printable pages remain in demand because they streamline hectic schedules without adding extra screen time. Sometimes having everything visible in one place simply makes life feel easier to manage. Using a Combination of Both Digital and Printable CalendarsThis is honestly what a lot of genuinely organized people do. A hybrid system where digital handles the real-time, fast-moving stuff and printed calendars handle the big-picture visual planning is a setup that works really well for a lot of different lifestyles. You're not choosing between the two formats. You're letting each one do what it's actually good at, and your planning system gets stronger because of it. For anyone thinking about the bigger picture, a calendar for the year 2026 United States gives you a full annual overview with federal holidays already included, which makes long-range planning a lot smoother. The Real Difference Comes Down to YouThe truth is organization looks different for everyone. Some users prefer to use apps and notifications for better productivity, and others prefer printable planners and layouts because they feel calm doing so. Digital calendars are great at automation and reminders. Printable calendars provide better visualization and concentration. One keeps you going and the other helps you to slow down and see your priorities.That's why there aren't any one-size-fits-all winners to the whole digital vs printable calendar discussion. The one that you can easily incorporate into your daily schedule and is natural for you is typically the better one. So Which One Actually Keeps You More Organized?The best calendar is the one that you will continue to use long after the motivation fades. If you stop using it after 2 weeks, then even the most advanced digital system means nothing. So if a digital calendar keeps you organized, then yeah, it’s a solid option. On the same note, if printable calendars work better for you and you feel less overwhelmed, then those are probably the better choice. If you want to explore more calendar templates, visit Calendarkart and choose the one that aligns with your goals.

Microsoft may soon announce another round of layoffs. Multiple reports indicate that the company is again planning to reduce around 2.5% of its global workforce, affecting sales, consulting, and the Xbox gaming division. Interestingly, the current global employee count of the company is around 228,000. Therefore, even a 2.5% reduction will make a significant number of people lose their jobs. It will be one of the major workforce reductions at Microsoft after the 4% layoff in July 2025. While Microsoft has not officially confirmed which teams will be affected, the gaming division is suspected to become the most impacted one. Xbox has already gone through major changes since Microsoft completed its Activision Blizzard deal. Some studios have closed, projects have been canceled, and several teams have been reorganized. Recent reports even indicate that the company is about to close Arkane Studios, putting a full stop to Marvel’s Blade development. These reports have arrived at a time when Microsoft is investing heavily in artificial intelligence. The company has committed billions of dollars to AI infrastructure, cloud services, and new software. So, many industry experts believe AI has become Microsoft's biggest priority. Also Read: Xbox Game Pass Content Under Threat? Layoffs Signal AI-Heavy FutureIf Xbox teams are included in the latest layoffs, it could point to a broader change in Microsoft's gaming strategy. Instead of growing through more acquisitions or larger development teams, the company may focus on making existing studios more efficient. Services such as Game Pass are still expected to remain at the center of Xbox's plans.Microsoft is unlikely to move away from gaming altogether. It still owns some of the industry's biggest franchises. However, the latest reports suggest the company's biggest investments are now going toward AI. For Xbox, that could mean a stronger focus on careful spending instead of rapid growth.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The integration of Large Language Models into enterprise infrastructure has fundamentally transformed data processing, automated reporting and corporate communications. In today’s data-driven ecosystem, organizations are leveraging these sophisticated models to make sense of massive amounts of unstructured data and translate it into actionable insights at speeds never seen before. From real-time financial analytics dashboards to comprehensive predictive market reports, artificial intelligence is changing the speed of information distribution at its core. As the initial novelty of rapid text generation starts to wear off, data scientists and Chief Data Officers (CDOs) are facing a major qualitative hurdle. The output of language models is mathematically efficient, unfiltered and unedited, but it often lacks the contextual nuance, empathetic tone, and rhythmic variance of natural human thought.To ensure that automated reports and executive briefings actually resonate with their intended human audiences, technology leaders are realizing that it is no longer sufficient to simply generate text at scale. Instead, they must actively deploy secondary Natural Language Processing (NLP) frameworks to humanize ai outputs, effectively bridging the critical gap between statistical probability and genuine human cognition. At its core, this qualitative issue stems from the fundamental architecture of generative models. LLMs operate on a predictive, probabilistic basis, calculating and selecting the next most likely token based on massive training datasets. From a data science perspective, this results in a highly uniform, low-entropy output. In enterprise applications like automated data storytelling, business intelligence reporting, and client-facing analytics, this rigid syntactical structure becomes highly problematic. When text lacks the "burstiness"—the natural variation in sentence length, structural pauses, and conversational cadence—that characterizes authentic human writing, it inevitably triggers cognitive fatigue in the reader. The underlying data and analytical insights might be perfectly accurate, but the delivery mechanism is fundamentally flawed. This algorithmic predictability not only diminishes reader engagement but also raises valid concerns about the homogenization of corporate intelligence. When every enterprise utilizes similar foundational models, the unique brand voice and authoritative edge of the company are quickly lost in a sea of synthetic uniformity. In response to this influx of synthetic text, the broader technology industry has witnessed a rapid proliferation of digital auditing and verification tools. Today, it has become a standard compliance protocol for enterprise governance teams, academic research institutions, and digital publishers to process incoming documents through a specialized ai checker to evaluate the origin of the content. These diagnostic algorithms are engineered to analyze the perplexity and structural predictability of a given text, searching for the unmistakable mathematical watermark of a machine. While these auditing tools are essential for maintaining data integrity, mitigating algorithmic bias, and ensuring transparency, they ultimately represent an incomplete solution. They serve merely as a diagnostic boundary rather than a developmental bridge. Knowing that an automated earnings report or a market analysis draft sounds robotic does not solve the underlying communication deficit. Furthermore, highly technical writing, such as data science whitepapers, often triggers false positives in these systems due to their naturally rigid structures. The enterprise challenge, therefore, is not merely to detect machine-generated, but to actively refine it into a format that is virtually indistinguishable from expert human analysis. To address this critical limitation, the focus within the enterprise AI sector has shifted toward sophisticated structural refinement. The goal is to move far beyond the superficial replacement of vocabulary—a hallmark of early-generation text spinners that often destroyed the contextual accuracy of the data—and focus instead on the deep semantic restructuring of the text. By algorithmically introducing the natural cognitive friction, pacing variations, and empathetic tone found in genuine human communication, these advanced systems can effectively recalibrate synthetic drafts. This critical transformation ensures that the final narrative accurately conveys the underlying data without alienating the human reader on the receiving end. This necessary paradigm shift is giving birth to an entirely new layer of mission-critical enterprise software. Humbot and similar platforms designed for this advanced linguistic recalibration are quickly becoming integral parts of the modern data pipeline. These tools are an invisible editorial and polish layer that lets organizations harness the immense computational scale and speed of generative AI while fiercely protecting the authentic, authoritative voice of their brand. With artificial intelligence becoming more and more involved in every aspect of business intelligence, data analytics, and corporate activity, the biggest competitive advantage will not be solely in speed of generation. It will be the exclusive property of enterprises that master the integration of advanced refinement technologies, keeping their automated insights deeply, engagingly, and persuasively human.

Circle to Search: Search text, products, landmarks, or images directly from your screen by circling them without leaving the current application.Live Translate: Translate phone calls in real time, enabling natural conversations across different languages while maintaining privacy through on-device AI processing.Interpreter Mode: Display instant two-way translations on split screens, making face-to-face conversations easier during travel, meetings, or interactions with foreign speakers.Note Assist: Automatically summarize lengthy notes, create structured formats, generate titles, and improve readability, saving time during study sessions or work.Browsing Assist: Summarize lengthy web pages, translate articles, and simplify complex content directly within Samsung Internet for faster information consumption.Transcript Assist: Convert voice recordings into accurate text transcripts, identify speakers, and generate concise summaries for interviews, lectures, or business meetings.Generative Edit: Remove unwanted objects, reposition subjects, fill missing backgrounds intelligently, and enhance photos using Samsung's AI-powered editing capabilities.Writing Assist: Rewrite messages, adjust writing tone, correct grammar, and generate polished responses directly from the Samsung Keyboard across supported apps.Audio Eraser: Reduce distracting background noises like wind, traffic, or crowds in recorded videos, making voices clearer without requiring third-party editing software.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

US-listed Bitcoin exchange-traded funds recorded $4.5 billion in net outflows during June 2026, their worst monthly result since launching in January 2024. Bitcoin also dropped 20.48%, marking its steepest monthly fall since June 2022.Record Withdrawals Deepen Bitcoin’s June DeclineJune’s redemptions exceeded the previous monthly record of $3.56 billion. February 2025 held that record during an earlier period of market stress. BlackRock’s iShares Bitcoin Trust accounted for most of the withdrawals. IBIT lost $3.55 billion, equal to nearly 79% of all Bitcoin ETF outflows recorded during June.That single-fund total nearly matched the category’s former monthly record. Bitcoin also closed four of 2026’s first six months lower. In June 2022, the asset fell 37.28%.XRP and Hyperliquid Funds Attract Fresh CapitalEthereum ETFs followed Bitcoin into negative territory and posted $528.99 million in June outflows, according to SoSoValue data. Solana ETFs also recorded about $786,580 in net withdrawals. The Solana figure remained small compared with Bitcoin and Ethereum losses. Still, it marked the first negative month for Solana ETFs and ended their run of positive monthly flows.Meanwhile, XRP ETFs attracted $59.46 million in inflows, while Hyperliquid ETFs led the group with $161.05 million. The flows show investors withdrew from larger products while adding money to newer categories.Trump Filing Reveals More Than $500M in ExposureAt the same time, President Donald Trump listed two cryptocurrency wallet assets in an ethics filing on Tuesday. He valued each wallet at more than $50 million and described both as cold-storage Bitcoin holdings. Forbes estimated Trump’s total Bitcoin exposure at more than $500 million after including his indirect share of Trump Media’s investments. Representatives of the Trump Organization and White House did not immediately comment.Read More: Bitcoin Price Today: BTC Tests Key Support as Early Bottom Signals AppearOne holding is reported within the entity that holds Trump's stake in World Liberty Financial. The venture generated nearly $800 million from public offerings, much of it between the election and inauguration. CIC Digital LLC, which launched Trump’s memecoin, holds the second disclosed wallet. The company collected more than $635 million in royalties from the token project.Trump Media announced plans last summer to invest in Bitcoin. The wider Trump Organization later joined companies adding the asset to their balance sheets. Michael Saylor’s Strategy built a large Bitcoin stockpile and inspired more than 200 corporate imitators. Eric Trump publicly praised the balance-sheet strategy in September.Bitcoin rose 82% between Election Day and October 2025 as the administration softened the government’s approach toward digital assets. The cryptocurrency later fell 53% from that level.What’s Next? June’s record $4.5 billion Bitcoin ETF outflows reflected mounting pressure as Bitcoin fell 20.48%, while XRP and Hyperliquid funds attracted fresh capital. Trump’s disclosed crypto wallets also pushed his estimated Bitcoin exposure above $500 million. Investors should watch July price action and fund flows for signs of renewed demand.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview: Stuck on Wordle #1838? Today’s puzzle points to a monastery-related noun. Check the hints, decode the clues, and uncover the answer to keep your streak alive.Wordle for July 1 features a noun related to change. Use the hints wisely and see the final answer before your six chances run out.Josh Wardle’s Wordle continues to engage millions with a new five-letter word daily. Today’s puzzle features a noun associated with a short story.Is Wordle giving you a hard time today? Even four years after its release, this NYT puzzle remains one of the most popular word games in the world, especially among word-game enthusiasts. The game's structure is simple, but the challenge lies in guessing the word within six attempts. Today’s word is somewhat related to a character from a short story that kids love.Like every other day, today’s Wordle gives players just six attempts to crack the mystery word, without any hints at the start. If you’re aiming to protect your winning streak or simply need a gentle nudge in the right direction, here are today’s Wordle hints and the final answer. Today's Wordle is a fun puzzle!Wordle Hints July 1, 2026 (Puzzle #1838)Here are the clues to solve today’s Wordle: Vowel Count: 2 vowelsConsonant Count: 3 consonants Repeated Letters: NoLetter Rarity: All common lettersFirst Letter: DIf the clues mentioned above haven’t yet guided players onto the right track, here is a bonus clue to lead them in the right direction:Bonus Hint: The word ends with the letter ‘R.’ Wordle Answer for July 1, 2026The clues mentioned above must have guided players onto the right track. If not, then it is time for the grand reveal. So, here's the answer for today’s Wordle #1838: DEMURALSO READ: Best Wordle Tips to Boost Your Winning StreakCheck the image below to know how you can start solving the puzzle:Best Tips to Play WordlePlayers who recently started playing this NYT word puzzle and are struggling to master the guessing technique can follow these tips: Start with words that include common vowels and consonants to gather as much information as possible early.Avoid repeating letters in your first few guesses unless you’re confident about their placement. Pay close attention to the color feedback. Green letters are correct and well-placed, while yellow letters belong in the word but need to be repositioned.Use each guess to eliminate possibilities rather than rushing toward the final answer.Expanding your vocabulary is key. Familiarity with less common words can make solving the puzzle much quicker.Also Read: NYT Wordle Hints and Answer for June 28, 2026: Strategy & Expert WalkthroughFinal ThoughtsThe allure of Wordle comes from its uncertainty. Every day, the puzzle presents a new grid with a new word to guess. Despite Wordle experts often ranking the solutions as average or simple, most players find every puzzle equally challenging. Another appealing part of Wordle is that you can solve it anytime; you might be solving it with a cup of coffee in the morning or during a short break at work.  Wordle quietly and efficiently sharpens players' vocabulary and pattern-recognition skills. Every puzzle offers a little but rewarding mental exercise, often reminding players that even the simplest games can offer the biggest rewards. A different word, an empty grid, and six opportunities - that’s the excitement that Wordle has every single day. May your 2026 streaks stay unbroken.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Profitability now matters more as investors prioritize sustainable business growth.Public markets offer startups alternative funding routes and stronger accountability.Deep-tech sectors and smaller cities drive India's next innovation wave.India’s startup ecosystem is entering a defining phase. The years of easy capital, rapid expansion, and soaring valuations have given way to a more measured approach. Investors are asking tougher questions, founders are focusing on sustainable growth, and public markets are emerging as a key source of capital.The shift marks a turning point for a sector that transformed India’s business landscape over the past decade. With more than 1.59 lakh DPIIT-recognized startups and over 1.66 million jobs created, the ecosystem remains one of the country’s strongest engines of innovation. The challenge now is not whether startups can grow, but whether they can build durable businesses while maintaining momentum.Why Profitability Has Become a New BenchmarkPreviously, success for startups was mostly measured by how many rounds of funding they managed to raise, and at what valuations. The whole idea was sort of to push hard on customer acquisition and growth while ignoring profitability, or assuming it could come later.Though now, the dynamics of success seem to have moved quite a bit.More and more, higher interest rates, greater investor caution, and a generally hard-edged funding environment have pushed startups to rethink what matters most. Just growing revenue isn’t enough anymore. Investors want clearer signals, such as solid unit economics, operational efficiency, and a path toward profitability.This shift is already visible in the Indian tech space. Many startups are either turning profitable or at least trimming losses, suggesting a more careful, disciplined approach to management.Public Markets are Reshaping Startup AmbitionsAnother major change is the growing role of public markets. The IPO (initial public offering) is now an option available to mature start-ups. The companies that relied heavily on venture capital funding in their early days are now raising capital through stock offerings on public exchanges. There is, of course, another level of accountability expected of companies from public markets.The importance of sound governance, financial transparency, efficient cash flow management, and business sustainability outweighs all the hype about growth in the public markets environment. Start-up founders now focus on such matters much earlier than ever before.It’s a win-win situation, really!Beyond Bengaluru and MumbaiIndia’s entrepreneurial journey is no longer confined to a few metro cities. Young entrepreneurs from tier-II and tier-III cities are setting up companies across sectors such as fintech, logistics, healthcare, education, and more. For many, internet connectivity, digital payment systems, and access to an online workforce have significantly lowered those barriers, even for those who work outside “non-traditional” startup cities. And the smaller cities themselves have become emerging markets as well, because technology adoption is rising and consumer spending power has increased steadily. This geographic expansion has diversified the startup landscape in the country.Deep-Tech Emerges as Next FrontierConsumer internet businesses dominated India’s startup ecosystem for much of the past decade. The next wave may come from deep-tech sectors. Firms that engage in artificial intelligence, semiconductor design, robotics, climate technology, space technology, and sophisticated software have become a major area of interest for investors.However, deep-tech firms encounter their own specific challenges. Large sums of capital, long gestation periods, and specific talent requirements distinguish such ventures. Nevertheless, there is recognition among investors and policymakers alike that India’s future economic success will depend on its capacity to develop innovative deep technologies.Challenges That Refuse to DisappearEcosystem development mustn’t ignore its problems. Investments remain selective, especially for early-stage startups. Investors prefer to invest in startups whose business models and revenue streams are proven.Startups face a talent shortage, particularly in areas such as artificial intelligence, chip design, and advanced engineering. Some regulations could pose challenges, especially for startups without sufficient funds to comply.Uncertainty about the global economy adds yet another problem. Slow growth in key markets could negatively impact investments and expansion.What Comes Next for Indian Startups?The startup ecosystem in India is transitioning from its teenage phase to adulthood. The focus will now shift from the chase for valuations to building robust companies. Profitability will serve as a competitive advantage. There are improvements in corporate governance systems. The capital markets have opened new ways to raise money. There is deep technology innovation leading to opportunities beyond consumer-facing offerings.The coming decade could witness more stable businesses rather than eye-catching funding rounds. It will be imperative for the entrepreneurs to strike the right balance between innovation, financial prudence, scalability, and performance.This is a pivotal time for the Indian startup ecosystem. The decisions made by the entrepreneurs and the investors will determine whether India succeeds in nurturing future global leaders or fails.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

India's startup story is changing. A few years ago, most conversations were about funding rounds and company valuations. Today, investors are asking different questions. Is the business growing steadily? Does it solve a real problem? Can it make money in the long run?That shift is creating opportunities for a new group of startups. Across artificial intelligence, healthcare, financial services, electric vehicles, cloud technology, and space technology, several young companies are building products that people and businesses genuinely need. Some are helping companies save time. Some are making financial services easier to access. Others are building technologies that could put India on the global innovation map. Here are ten Indian tech startups that deserve attention in 2026.Why Investors are Paying AttentionThere has been an increase in the practical nature of the startup scene. Though the need for innovation remains the same, investors are interested in startups with a clear purpose and a viable growth model. Most startups are now focusing on solving everyday problems rather than following trends. Moreover, government funding for technological development and innovation is also contributing to the rapid growth of startups.Also Read: Indian Startups Post 54% Revenue Growth in FY26 Despite Profitability Challenges: SurveyTop 10 Indian Tech Startups to Watch in 2026What Makes These Startups Different?Many startups launch every year. Only a few stand out. The companies on this list are focused on solving real problems. For example, some help businesses manage their data more efficiently. Others make financial services easier for customers. Some are improving health tracking, while others are building technology for the growing space industry.Another reason these startups are attracting attention is their ability to grow beyond India. Many of their products are designed for global markets. This gives them access to a much larger customer base and more expansion opportunities. Most importantly, these companies are building products people actually use. That matters more than hype.Big Trends Shaping Indian Startups in 2026Businesses need products that enable their employees to do their jobs more quickly and effectively. Therefore, startups aim to provide consumers with more practical, less complex AI technologies than before. The healthcare sector is developing rapidly due to the growing interest among consumers in health and fitness. As a result, technology companies related to wellness gain more opportunities for further development. The fintech industry is also successful because of increasing consumer demand for easier, faster financial services. Startups struggle to fulfill customers' needs.Electric mobility is becoming increasingly popular due to the growing number of electric cars. Therefore, there is an urgent demand for good charging infrastructure. Another area where private companies can get involved in the future is space technology, which was once used exclusively by government agencies. Several Indian companies have already achieved some results in this sphere.Why These Companies MatterThe most successful startups are often not the loudest ones. They are the companies quietly solving problems every day. Whether it is helping businesses save money, making healthcare more accessible, improving financial services, or supporting new industries, these startups are building products that have a real impact. That is why investors, customers, and industry experts are watching them closely.Also Read: Can India Build its Own SpaceX? Challenges, Opportunities and Startups ExplainedLooking AheadThe startup environment in India is evolving into a more mature one, and the trend of growth at any cost is gradually being replaced by value generation, problem-solving, and sustainability. The success stories of 2026 don't need to come from companies making a lot of noise. They would simply be those who have created something useful and earned customers' trust. These ten firms are among those that should be on the radar as India's technology industry embarks on its next phase of growth.India's next generation of technology startups is shaping the future of innovation across multiple industries. By developing practical solutions, creating employment opportunities, attracting investment, and expanding into global markets, these companies are strengthening India's digital economy and driving long-term technological growth.Why it MattersYou May Also LikeTemple: The Zomato Startup that’s Betting on Your BrainWhy Great Startup Ideas Begin with Rejection: A Guide for FoundersHow AI Can Help You Validate Your Startup Idea Before You Build itFAQsWhich are the top Indian tech startups to watch in 2026?Some of the most promising Indian tech startups in 2026 include Sarvam AI, Krutrim, Pixxel, Agnikul Cosmos, Netradyne, Exponent Energy, Ultrahuman, Lucidity, Zolve, and Equal. These companies are driving innovation across artificial intelligence, space technology, fintech, healthcare, and cloud computing.Why are investors focusing on Indian tech startups in 2026?Investors are increasingly backing startups with sustainable business models, strong revenue potential, and products that solve real-world problems. Rather than prioritizing rapid growth alone, they are evaluating long-term profitability, customer adoption, operational efficiency, and the ability to scale successfully across domestic and international markets.Which sectors are driving India's startup ecosystem in 2026?Artificial intelligence, fintech, healthtech, electric mobility, cloud computing, identity technology, and commercial space technology are among the fastest-growing sectors. These industries are benefiting from increasing digital adoption, supportive government policies, private investment, and rising demand for technology-driven solutions across businesses and consumers.Why is artificial intelligence becoming a major focus for Indian startups?AI startups are developing language models, enterprise automation tools, customer service platforms, and productivity solutions tailored to India's diverse market. Businesses across industries are adopting AI to improve efficiency, reduce costs, automate routine tasks, and enhance customer experiences, creating significant growth opportunities for AI companies.What makes Indian space startups attractive to investors?Private space companies such as Pixxel and Agnikul Cosmos are building satellite technologies, launch vehicles, and Earth observation solutions with global commercial potential. Government reforms and increasing private sector participation have created new opportunities for innovation, investment, and international partnerships in India's space industry.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

India’s fintech story in 2026 is defined by divergence: venture funding has normalized, but fintech’s real-economy footprint continues to expand. Tracxn’s India tracker shows calendar-year fintech funding at $4.01 billion in 2023, $3.55 billion in 2024, $3.63 billion in 2025, and $829 million through 29 May 2026. Despite this capital slowdown, usage has not been affected. UPI processed 23.2 billion transactions worth Rs. 29.90 lakh crore in May 2026 alone, and the RBI’s Digital Payments Index rose to 493.22 in March 2025 from 445.50 a year earlier. That is why fintech is still fueling India’s startup growth: it is no longer just a venture category, but critical startup infrastructure. Payments, merchant acceptance, embedded finance, account aggregation, and digital lending rails are reducing friction for e-commerce, SaaS, consumer internet, logistics, and MSME startups. The regulatory architecture has also matured. UPI continues to expand globally; the Account Aggregator framework is entering a more formal phase; RBI’s interoperable sandbox is lowering experimentation costs; and the DPDP Rules are raising the baseline for trust and data governance. The Numbers Show a Funding Reset But an Operating Boom India remains the world’s third-largest fintech ecosystem, and IBEF pegs the domestic fintech market at $111 billion today, with potential to reach $421 billion by 2029. Tracxn’s broader sector map counted 16,461 fintech companies in India, including 2,890 funded firms and 30 unicorns as of late May 2026. For context, IBEF and JM Financial counted 10,200 registered fintech startups and 26 fintech unicorns in 2024; the discrepancy reflects differences in methodology and taxonomy rather than a contradiction.The macro context remains supportive. The World Bank says India grew 6.5% in FY24-25, while the IMF projects 6.5% real GDP growth in 2026. That growth is interacting with a large digital user base: IBEF, citing IAMAI-Kantar, says India had 886 million active internet users in 2024 and should cross 900 million in 2025, while TRAI’s annual report put India’s mobile broadband base at 944.12 million. Financial inclusion is also deepening: PMJDY had 57.78 crore accounts as of February 2026, with 55.8% held by women and 78.2% in rural/semi-urban areas; RBI’s Financial Inclusion Index improved to 67.0 in March 2025 from 64.2 a year earlier. RBI’s FY25 annual report metrics show UPI at 84% of retail payment volumes, with 185.9 billion transactions totaling Rs. 260.6 lakh crore. By FY26, the Finance Ministry said UPI’s annual value had exceeded Rs. 314 lakh crore, with 700+ banks live and India accounting for nearly 49% of global real-time payments. In the latest monthly print, NPCI reported 23.2 billion UPI transactions worth Rs. 29.90 lakh crore in May 2026 across 720 banks. Why Fintech is Powering Startup Formation and ScalingThe key point is that fintech now behaves like a productivity layer for the startup economy. When checkout, collections, payouts, KYC, merchant onboarding, and small-ticket credit move from paper-heavy workflows to API-led rails, the cost of starting and scaling a business falls. RBI’s Digital Payments Index at 493.22 and the continuing rise in UPI QR acceptance indicate that this infrastructure is diffusing deeper into the economy. Credit deepening is the second leg of the story. India still has room to expand formal retail credit. NITI Aayog’s 2026 credit report says women’s credit penetration will reach 36% by 2025, with total credit outstanding to women rising to Rs. 76 lakh crore from Rs. 16 lakh crore in 2017. Separately, RBI’s Financial Stability Report said household debt stood at 41.9% of GDP as of end-December 2024, still below many emerging-market peers. In that setting, fintechs are becoming the distribution and underwriting edge for credit expansion. FACE data, reported by IBEF, show fintech NBFCs sanctioned 10.9 crore personal loans worth Rs. 1,06,548 crore in FY25. The third driver is adoption at the household and MSME level. MoSPI’s telecom survey, as reported in 2025, found 85.5% of Indian households had at least one smartphone, while PIB said 97.1% of people aged 15-29 had used a mobile phone in the prior three months. In practical terms, that means startup distribution increasingly begins with a handset that is already payment-enabled and identity-linked. Three Case Studies Explain Where Value is AccruingThe most important case-study lesson is that Indian fintech leaders are moving beyond pure transaction acquisition into multi-product monetization.Razorpay is a strong example of infrastructure-led scaling. Its FY25 consolidated revenue rose 65% year over year to Rs. 3,783 crore, while the company says it now processes roughly $180 billion in annual payment value. PhonePe shows the scale economics of consumer payments distribution. Reuters reported that it has 650+ million users, processed nearly 10 billion UPI transactions in January 2026, and was targeting an IPO valuation of $9 billion to $10.5 billion, versus a $12 billion private-market valuation in 2023. Its FY25 revenue reached Rs. 7,115 crore. BharatPe said FY25 total revenue reached Rs. 1,734 crore and that it posted its first adjusted profit before tax, while also raising its stake in its lending arm, Trillionloans, to 74%. Growth is increasingly being driven by merchant lending rather than just QR acceptance. Risks, Recommendations, and Investor Implications The risks are real. First, credit quality can deteriorate when growth outruns underwriting; RBI’s 2025 stability assessment warned of rising stress in segments such as credit cards and microfinance, even as the overall banking system stayed healthy. Second, payments remain brutally competitive: PhonePe and Google Pay together still held 79% of UPI market share in May 2026, even though that duopoly has begun to weaken. Third, data governance and cyber risk are becoming cost centers that smaller startups may struggle to absorb. Finally, private-market money is more selective: CB Insights said global fintech deal count fell to a multi-year low in Q1 2026, which means Indian startups must increasingly prove unit economics rather than narrative alone. For policymakers and investors, the most useful next steps are: Deepen AA and ULI coverage, especially for GST, invoice, land-record, and cash-flow data, so MSME and rural underwriting can move from collateral-heavy to data-rich models. Preserve trust while lowering compliance duplication through wider use of RBI’s interoperable sandbox and clearer cross-regulator standards for hybrid products.Revisit payments economics carefully: if UPI remains scale-heavy but margin-thin, investors should favor firms with software, lending, and distribution revenue beyond pure payment volume. Prioritize cybersecurity and consent architecture as investment screens, not back-office checks, because DPDP compliance and AI-risk controls are now core to fintech defensibility. The bottom line is that fintech is fueling India’s startup growth in 2026 less by attracting peak venture dollars and more by rewiring how Indian startups collect money, lend, onboard, underwrite, and retain customers. Funding has become harder, but infrastructure has become stronger. In a maturing startup market, that is the more important signal.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewDPIIT-recognised startups crossed 2.23 lakh by March 2026, generating over 23.36 lakh direct jobs, a 36.1 percent rise from the year before.Tier 2 and Tier 3 cities now make up 48 to 50 percent of all recognised startups, pulled in by lower costs and stronger internet access.Chandigarh, Kochi, and Coimbatore show how agritech, fintech, and SaaS hiring is spreading well past the traditional metro hubs.A few years ago, a software engineer in Coimbatore or Kochi had one real career move: pack up and head to Bengaluru. That calculation has changed. Today, many professionals can find startup jobs without leaving their city as startups build teams beyond India's traditional tech hubs. Many of India's fastest-growing startups are choosing to build outside the metros entirely, and the jobs are following them home.A Decade in the MakingFor years, India's startup story revolved around Bengaluru, Delhi-NCR, Mumbai, and Hyderabad. Founders, investors, and skilled workers clustered in these cities. A startup based anywhere else often had to explain itself. Today, that pattern has started to break down. DPIIT-recognised startups crossed 2.23 lakh by March 2026, generating more than 23.36 lakh direct jobs, a 36.1 percent jump in direct employment over the previous financial year.This shift took a decade to build. When Startup India launched in 2016, the country had around 500 recognised startups. Ten years on, the program has helped attract nearly Rs 15 lakh crore in private funding, and more than 1.07 lakh recognised startups now count at least one woman director or partner among their founders. The bigger shift, however, is where these startups are being built. Industry and government estimates put the Tier 2 and Tier 3 share of all DPIIT-recognised startups between 48 and 50 percent. Startup activity isn't confined to a handful of large cities anymore.Who Is Actually Getting HiredThe hiring numbers tell a story most people do not expect. The common assumption is that startups mostly hire software developers. Engineers still matter, but the hiring list runs far beyond that.Agritech startups need field officers, agronomists, customer support staff, and operations teams stationed near farming regions, people who understand local markets and can work directly with farmers. Fintech firms are building out customer onboarding, KYC verification, sales, and compliance roles closer to the communities they serve. SaaS companies are setting up remote engineering, product, and support teams in smaller cities. This lets skilled graduates land strong jobs without moving to Bengaluru or Hyderabad. For many graduates, that means building a career close to family instead of relocating to a metro. Add designers, marketers, analysts, sales executives, and operations professionals, and the job list keeps expanding as these companies scale.The ripple effect matters too. Every growing startup pulls in local vendors: logistics providers, training centers, consultants, and technology partners, and all of them hire on the back of that demand. Why Smaller Cities Are WinningThe next question is why so many startups are choosing these cities in the first place. Cost remains one of the biggest reasons. Office space in many Tier 2 cities runs up to 50 percent cheaper than in the metros, and talent costs come in 25 to 30 percent lower. For a startup watching its runway closely, that gap changes the math. Better internet access and the shift to remote work have made the case even stronger.A few cities show what this looks like in practice. Chandigarh's tricity region had crossed 633 DPIIT-recognised startups by the end of 2025, with companies like AgNext Technologies, IT Infonity, and DataKund hiring across AI, analytics, and enterprise software. Kochi has built a name in AI work and global capability centers, helped by a sharp rise in Kerala's startup funding through late 2025. Coimbatore's startup count grew from 271 in 2020 to 1,350 by 2024, with agritech, manufacturing tech, SaaS, and fintech companies hiring locally. These cities are starting to hold onto talent that would have left for a bigger city just a few years back.Government Support Is Closing the GapGovernment schemes have helped close some of the gaps founders face outside the big investor networks. The Credit Guarantee Scheme for Startups has backed loans worth more than Rs 755 crore, giving startups capital to hire and expand. On the Government e-Marketplace, more than 30,000 startups have signed up, and their cumulative orders on the platform have crossed Rs 54,000 crore through FY 2025-26. For a founder building outside Bengaluru, that is real access to customers and capital that used to be far harder to reach.Also Read: Top Funded Health and Wellness Startups in 2026The Challenges That RemainSome gaps still slow this momentum. Many graduates in smaller cities have strong digital skills but little exposure to roles like product management or growth marketing. Power and internet reliability still vary by region. Venture capital stays concentrated around a handful of metros, and women-led startups, while growing, still hold a smaller share of the overall landscape. How quickly these gaps are addressed will determine whether this becomes a lasting jobs trend or just a temporary surge.Also Read: Top Cleantech Startup Ideas to Launch in 2026 and BeyondThe Road AheadIndia's startup story has moved past being a metro-only story. More founders are building outside the big cities, more graduates are finding real jobs closer to home, and more businesses are proving that growth does not have to start in Bengaluru or Delhi to work. If the trend holds, some of the country's biggest job gains over the next decade could come from its smaller towns, not its biggest cities. What began as a startup movement is gradually becoming a jobs story. For many people in smaller cities, it means finding career opportunities closer to home without having to leave their communities behind. You May Also Like:India’s Private Space Startups are Launching, Who Will Be the Country’s SpaceX?Weekly AI Funding Roundup: Fireworks AI Targets $15 Billion, Cognition and Flexprice in SpotlighTop 7 Fintech Startups in Brazil to Watch in 2026FAQ’sQ1. How are startups creating jobs in small towns in India?Startups are creating jobs in engineering, sales, customer support, operations, marketing, fintech services, and agritech field roles, allowing more professionals to work closer to home.Q2. Why are startups expanding into Tier 2 and Tier 3 cities?Lower operating costs, access to local talent, improved digital infrastructure, and remote work capabilities are encouraging startups to build teams outside major metros.Q3. Which small cities are emerging as startup hubs in India?Cities such as Coimbatore, Kochi, Chandigarh, Indore, Jaipur, and Bhubaneswar are becoming important startup hubs with growing employment opportunities.Q4. What role does the Startup India initiative play in job creation?Startup India supports entrepreneurs through policy incentives, funding access, and business support programs, helping startups grow and generate employment across the country.Q5. What challenges do startups face in smaller cities?Common challenges include limited access to venture capital, skill gaps in specialized roles, infrastructure constraints, and fewer networking opportunities compared to metro cities.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Artificial intelligence is redefining the future of enterprise hiring, workforce development, and project delivery by automating coding, testing, documentation, and talent evaluation. As AI takes over repetitive tasks, organizations are placing greater emphasis on human capabilities such as judgment, creativity, communication, and empathy to drive better business outcomes.Madhu Rajputra, Co-Founder and CEO of Troogue, believes the next phase of enterprise transformation will be led by professionals who can effectively combine AI capabilities with critical human skills. Rather than replacing talent, AI is reshaping how value is created by enabling people to focus on strategic thinking, problem-solving, and decision-making.In an exclusive interview with Analytics Insight, Rajputra discusses how Troogue is preparing enterprises and professionals for the Human-AI hybrid era through capability-based talent verification, AI-powered workforce solutions, modular AI agents, and responsible human intelligence data. He also explains how Troogue is helping organizations move beyond traditional resume-based hiring toward evidence-backed capability matching while ensuring human qualities such as leadership, empathy, and accountability remain central to enterprise success. Here are the excerpts from the interview:How is Troogue Preparing Professionals for Human-AI Talent Shift?AI is clearly changing how software gets built. Coding, testing, documentation and even parts of design are becoming faster because of AI. But I do not believe this reduces the importance of human capability. It changes where humans create value. AI is compressing the value of pure execution skills and increasing the premium on judgment skills. Writing a function, generating a test suite or producing boilerplate is no longer the highest-value activity. The real value is in understanding whether we are solving the right problem, making trade-offs, questioning AI-generated outputs, communicating with stakeholders and taking accountability for outcomes. This is where human judgment, creativity and empathy become even more important. Judgment is needed to decide whether an AI-generated answer is correct, safe, scalable and relevant to the business context. Creativity is needed to frame problems better, not just execute tasks faster. Empathy matters because enterprise projects still involve users, teams, customers, change management and sometimes conflicting priorities. At Troogue, we are preparing Troogers for this shift by evaluating and developing them beyond traditional CV-based skills. We assess not just coding ability, but problem-solving, communication, role fit, learning agility and the ability to work in real enterprise environments. Our assessments are designed to understand how a person thinks, how they explain decisions, how they respond to ambiguity and how effectively they can use AI as a productivity layer rather than a shortcut. Our belief is simple: AI will not replace capable people. But capable people who can use AI well will replace those who cannot.How does Troogue Verify and Curate Talent Through Real-World Skill Assessments for Enterprise Hiring Needs?Troogue’s verification process starts with the enterprise requirement, not with a database search. In traditional hiring or staffing, the process usually begins with CVs. At Troogue, we first try to understand the actual work context: the role, project environment, technology stack, expected outcomes, seniority level, delivery model, communication needs and any domain-specific expectations. Once the requirement is clear, we create a role-aware evaluation path. This can include technical assessments, coding challenges, scenario-based problem solving, communication evaluation, video Q&A, work-simulation tasks and AI-assisted interview analysis. The objective is not just to check whether someone knows a technology, but whether they can apply that capability in a real enterprise setting. For example, a Java developer for a banking modernisation project and a Java developer for a product engineering team may require very different strengths, even if the keyword on the CV is the same. One may need stronger governance, documentation and integration discipline; the other may need speed, design thinking and product ownership. Troogue’s evaluation process is designed to capture this difference. We then curate profiles based on verified capability, not just stated experience. Each Trooger is assessed across technical depth, problem-solving ability, communication, reliability and fit for the role. For senior or high-fit roles, we also use structured expert review to assess reasoning, communication under questioning and practical decision-making. Over time, all of these signals feed into what we see as Troogue’s capability graph - an evidence-backed view of each professional’s verified skills, domain depth, assessment history and deployment feedback. This helps enterprises move away from filtered resume databases and towards a live, capability-led view of talent. Our larger goal is to move the market from 'profile matching' to 'capability matching.' How does Troogue Deliver AI Agents Cost-Effectively without Enterprise-Wide Software Licenses?One of the challenges with enterprise AI adoption is that many tools are priced as large organization-wide licenses. That model can become expensive, especially when usage is uneven across teams or when the need is project-specific. Troogue’s approach is different. We are building AI agents around specific workflows and specific users - recruiters, hiring managers, evaluators, project teams, agencies and Troogers. Instead of asking an organisation to buy a broad software license for everyone, we make the intelligence available at the point of work. For enterprises, this means AI can assist in areas such as requirement interpretation, candidate evaluation, shortlisting, interview insights, documentation, QA readiness, project tracking and productivity support. For Troogers, AI can help with preparation, profile positioning, skill-gap identification, project readiness and productivity improvement. The important difference is that our AI layer is embedded into the engagement itself, rather than sold as a heavy standalone enterprise software rollout. When an enterprise works with Troogue, the AI productivity layer supports the evaluation, deployment and delivery workflow. The customer pays for value where the work is happening, not for unused seats across the organisation. This is structurally more cost-effective because the AI capability is linked to actual usage, roles and outcomes. A company may need AI support for a hiring sprint, a project ramp-up, a fresher evaluation drive, a partner ecosystem or a specific delivery team. Troogue allows these capabilities to be consumed in a more modular and practical way. This is where Troogue creates a very different value layer from traditional staffing models.How does Troogue Leverage Human-Generated Data to Train and Evaluate Better AI Models?This is the long game, and we are very clear about where we are today and where we are going. As foundation models become more commoditised, the scarce resource will be high-quality, domain-specific, expert-generated data - especially data that captures how experts think, not just what they produce. Every Trooger who goes through our capability assessments, interview processes, work simulations, coding evaluations, communication reviews and deployment feedback loops creates signals about human capability. These signals help us understand how people solve problems, how they communicate, how they respond to ambiguity, how they collaborate, how they improve and how they perform in real enterprise contexts. This is very different from generic resume data or keyword data. A resume tells you what someone claims to have done. Troogue’s data helps us understand what someone can actually do. Today, this strengthens our capability graph and matching engine. It helps us match professionals to enterprise requirements more accurately, benchmark capability across roles, identify skill gaps and improve the quality of evaluation. Over time, with consented, structured and anonymised data, this can become a valuable evaluation and training layer for enterprise AI models. Enterprises building domain-specific AI systems and AI labs working on model evaluation need expert-generated, domain-accurate human judgment data. Troogue is building the infrastructure to generate, verify and responsibly structure that kind of signal at scale. We are not positioning this as a surveillance system. The goal is to build a responsible human-capability intelligence layer - one that improves hiring, deployment, workforce development and eventually the quality of AI systems that need to understand real human work. In our view, verified human capability data will become one of the most important inputs for enterprise AI.  How does Troogue Preserve Human Qualities Alongside AI, And Can You Share a Real-World Example?I would slightly reframe the question. We do not try to 'protect' human-centric qualities from AI. We try to make them visible, measurable and rewarded in a market that has historically under-valued them. Most hiring decisions for technology talent are still made on skill keywords, years of experience and day rate. Empathy does not appear on a resume. Cultural fit is often treated as a gut call in a short interview. Mentorship and leadership potential usually become visible only after someone is already deployed. At Troogue, our capability framework looks at broader professional-fit dimensions - communication under pressure, adaptability in ambiguous contexts, ownership mindset, stakeholder relationship signals and feedback from deployment. This allows us to surface qualities that traditional staffing or resume-led hiring often misses. Human-centric qualities matter even more when AI is involved. Someone still has to explain trade-offs to a client. Someone still has to mentor a junior team member. Someone still has to understand why a user is resisting a new system. Someone still has to take accountability when an AI-generated answer is not good enough. A good example we have seen in enterprise deployments is that the best Troogers are not always the ones who simply complete the technical task fastest. They are the ones who understand the client environment, ask the right questions, communicate risks early and help the customer make better decisions. In one enterprise engagement, a senior Trooger helped identify that the team was technically building to the brief, but the brief itself was not fully aligned to the business outcome. By raising that early and helping the client re-scope the work, the engagement moved from task execution to real value creation. That is not AI work. That is judgment, courage and a genuine investment in the client’s outcome. The AI handles throughput. The human handles consequence. Troogue’s job is to make sure enterprises can reliably find humans who understand that distinction, and operate accordingly. Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

A decade ago, women-led startups in India were often treated as exceptions to the rule. Today, they are becoming some of its most influential voices. Across sectors ranging from fintech and healthcare to e-commerce and technology, women entrepreneurs are building businesses that solve everyday problems, create jobs, and attract investor confidence.Their success is not just about growing companies; it is about challenging old assumptions and opening doors for the next generation of founders. As India's startup ecosystem continues to expand, women are playing an increasingly important role in shaping what comes next. Five Founders Who Transformed Ideas into Brands Before the funding rounds, rapid growth, and industry acclaim, every well-known brand has a beginning that few people see. Those early days were full of long hours, difficult calls, and constant uncertainty. In India, many of the country’s most successful women entrepreneurs started with little more than an idea and a fierce determination to make it work.They noticed real gaps in the market, built solutions around genuine customer needs, and gradually turned those efforts into influential brands. Today, their companies reach millions, create jobs, and power India’s booming startup ecosystem. The stories of these five brands offer a glimpse into the challenges, the risks, and the breakthrough moments that transformed startup dreams into lasting business success.Nykaa: Falguni Nayar’s Second Innings Becomes a Beauty GiantAt an age when many professionals consider slowing down, Falguni Nayar took a bold leap, founding Nykaa in 2012 after nearly two decades in investment banking. Her goal was simple: make authentic beauty products easily accessible to Indian consumers.What began as an online marketplace grew into one of India’s most recognized beauty and lifestyle brands. Today, Nykaa operates hundreds of stores nationwide and reported nearly Rs. 8,000 crore in revenue in FY25, making Nayar one of India’s most celebrated entrepreneurs.SUGAR Cosmetics: Building Beauty Products for Indian WomenVineeta Singh chose entrepreneurship over a big, high-paying corporate job right after finishing at IIM Ahmedabad because she wanted to build something of her own, not just a safe ladder.In 2015, she co-founded SUGAR Cosmetics after noticing there were too few beauty products made for Indian skin tones, and also the local climate.SUGAR grew quickly through its branding and a digital-first plan, so it quickly caught the attention of everyday consumers. Now, it is among India’s top beauty brands, with a presence in thousands of retail stores and a customer community that’s expanding quickly.Econscious: Turning Plastic Waste into OpportunityTo Nidhi Choudhary, plastic waste was not merely something that endangered the environment; it was something she could do something about. Thus, the company was started by her to recycle plastic waste and develop more sustainable ways of production.Collaborating with companies and communities, the company is working to assist India in adopting the concepts of the circular economy. With the increasing importance of sustainability in business, Econscious is rapidly gaining prominence in the entrepreneurial sphere of the green economy in India.Astrome: Connecting the Unconnected Through Deep-Tech InnovationNeha Satak, founder and CEO of Astrome, set up this tech firm with an objective of providing internet connectivity at high speeds to areas that usually lack connectivity. By leveraging years of study and work experience in wireless communication technology, she founded this company based in Bengaluru.Astrome specializes in satellite-based and millimetre wave technology, which helps in setting up advanced 5G networks in various underserved areas in India.GreyLabs AI: Bridging Artificial Intelligence to FinanceAfter seeing the value of artificial intelligence technology in addressing issues in the financial sector, Roshni Mahatani created GreyLabs AI to develop AI-based solutions that aid banks and businesses in making decisions, reducing risks, and enhancing relationships with customers. The increasing need for smart financial solutions means that GreyLabs AI is a rising name in the fintech space.The Bigger PictureIndia’s startup boom isn’t only about unicorns and venture capital; it feels more and more like women founders are building things that touch millions of lives. Women lead roughly 20% of India’s startups, and there are over 8,000 startups that have at least one woman founder involved.It’s not confined to one neat corner either; their footprint is getting wider across many areas like beauty, healthcare, fintech, sustainability, deep tech, and even artificial intelligence.Although women-led startups continue to receive a smaller share of funding, many have already built recognizable brands, maintained strong momentum, and generated significant revenue.This momentum hints at a shift in the entrepreneurial environment, where creativity, perseverance, and hands-on problem-solving matter far more than old ideas about who is ‘supposed’ to start a company.You May Also LikeDelhi Startup Policy 2026: Rs. 350 Cr Fund & Rs. 10 Cr Loans for Women FoundersWomen Founders Powering India’s Startup Boom This Women’s DayTop 10 Highest Paying Jobs for Women in 2026 with Salary DetailsFAQsWhy are women entrepreneurs becoming more influential in India's startup ecosystem?Women entrepreneurs are building innovative businesses across diverse sectors, solving real-world problems, creating employment opportunities, attracting investors, and contributing significantly to India's rapidly growing startup ecosystem.What makes Nykaa one of India's most successful women-led startups?Founded by Falguni Nayar in 2012, Nykaa transformed beauty retail by offering authentic products online and offline, growing into a leading beauty and lifestyle brand.How is SUGAR Cosmetics different from other beauty brands?SUGAR Cosmetics focuses on products designed for Indian skin tones and weather conditions, helping the brand build a loyal customer base and strong presence nationwide.What role do women-led startups play in emerging sectors?Women founders are driving growth in fintech, artificial intelligence, sustainability, healthcare, and deep technology, introducing innovative solutions that address evolving market and consumer needs.What challenges do women entrepreneurs in India still face?Despite increasing success, women-led startups often receive a smaller share of funding than male-led ventures, though many continue achieving strong growth and business success.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Three decades ago, the global startup conversation belonged almost entirely to Silicon Valley. Then China built its own parallel universe of billion-dollar companies, moving so fast that Western observers could barely track the names. Today, a third force is demanding attention. India has quietly assembled one of the most significant startup ecosystems in the world, and the comparison is no longer a stretch. It is a conversation worth having in full.The Scale ArgumentIndia currently ranks third globally in total number of unicorns, behind the United States and China. As of 2026, India has produced over 115 unicorn companies, with a combined valuation running into hundreds of billions of dollars. The sectors span fintech, edtech, healthtech, logistics, SaaS, and consumer internet, reflecting an ecosystem with genuine breadth rather than concentration in one or two categories.Silicon Valley remains the undisputed leader in raw numbers and total capital deployed. The US venture capital market continues to dwarf every other geography, and the Bay Area alone houses more unicorns than most countries combined. China, despite regulatory headwinds in recent years, maintains a deep pool of mature tech giants including Alibaba, Tencent, ByteDance, and Meituan, companies that have scaled globally and built product categories entirely from scratch.India has not yet produced a company of that global reach. But the trajectory is pointing upward, and the conditions driving that trajectory are structural rather than temporary.The Capital PictureFunding is where the comparison gets interesting. Silicon Valley still attracts the largest share of global venture capital, supported by a decades-old investor network, deep institutional familiarity with tech risk, and proximity to the world's largest technology companies. The exit ecosystem in the US, including acquisitions and IPOs, is far more mature, which makes it easier for early investors to deploy capital with confidence.China built its startup boom on a combination of domestic capital, state support, and a consumer market of enormous scale. Platforms like WeChat Pay and Alipay created financial infrastructure that startups could build on without reinventing the wheel. The government's relationship with the tech sector has grown complicated in recent years, with major regulatory crackdowns reshaping how Chinese tech companies operate, but the underlying scale of the consumer market has not changed.India is attracting serious capital but faces a more volatile funding environment. After a peak in 2021 and 2022, funding dropped significantly through 2023 and 2024 before stabilising. The correction forced a reckoning with unit economics and profitability, which many analysts now see as a healthy development. Indian startups that survived the funding winter did so by building leaner, more sustainable businesses. Several high-profile IPOs, including Zomato, Nykaa, and Paytm, have tested public market appetite for new-age tech companies, with mixed but instructive results.The Talent EngineTalent is one area where India holds a genuine structural advantage. The country produces millions of engineering graduates each year, and the quality at the top tier is internationally competitive. Indian-origin founders and executives hold leadership positions at some of the world's most valuable technology companies, including Google, Microsoft, Adobe, and IBM.Silicon Valley has long benefited from Indian talent through immigration, but India itself is now keeping more of its best engineers and founders at home. Return migration is rising. Experienced professionals who built careers in the US are coming back to build companies in India, bringing capital networks, product experience, and global market exposure with them.China's talent pool is massive and technically strong, but increasingly insular. Export controls, geopolitical tensions, and restrictions on cross-border data flows have made it harder for Chinese tech companies to attract and retain international talent. India, by contrast, operates in English, follows common law, and maintains open capital account policies for foreign investors, all of which lower friction for international engagement.The Market DynamicsIndia's domestic market is its most compelling long-term asset. With 1.4 billion people, a rapidly expanding middle class, and smartphone penetration continuing to grow in tier-two and tier-three cities, the addressable market for consumer technology is enormous and still largely untapped.Silicon Valley startups typically build for a global audience from day one, using the US as a launch market and expanding outward. Indian startups have historically built for India first, which creates depth and defensibility but has sometimes limited global ambition. That is changing. Several Indian SaaS companies, including Freshworks, Zoho, and Browserstack, have built significant international revenue bases, proving the model works beyond domestic borders.China built its internet economy behind the Great Firewall, which had a paradoxical effect. It protected domestic companies from foreign competition and allowed them to scale without facing Google or Amazon. But it also cut them off from global markets in meaningful ways. Indian startups face full international competition at home, which forces sharper product thinking but also validates their capabilities when they expand abroad.The Infrastructure GapOne honest limitation India must acknowledge is infrastructure. Silicon Valley benefits from world-class physical and digital infrastructure built over decades. China made infrastructure a national priority and executed at a speed and scale few countries can match, from high-speed rail to 5G networks to digital payment systems.India's infrastructure story is improving but uneven. The Unified Payments Interface has become a genuine success, processing billions of transactions monthly and inspiring similar systems in other countries. Digital public infrastructure, including Aadhaar and the Open Network for Digital Commerce, is creating platforms on which startups can build. But logistics, power supply, and connectivity outside major urban centres remain real constraints for companies trying to reach the full breadth of the Indian market.Where India Is HeadingThe most accurate assessment of India's startup ecosystem is this: it is real, it is growing, and it is building on foundations that are durable. The comparison with Silicon Valley is premature in terms of capital depth and global company creation. The comparison with China is more nuanced, with India holding advantages in global integration and English-language capability while China retains advantages in domestic market maturity and state-backed infrastructure.What India has built is a third model, one driven by a large domestic market, a strong talent base, a democratic regulatory environment, and an increasingly experienced investor class. The country does not need to replicate Silicon Valley or China to matter. Building its own version, at its own pace, on its own terms, is already changing the global startup conversation.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewA cloud-based software testing platform that enables developers and enterprises to test applications across real devices and browsers.Its real-device cloud infrastructure eliminates physical testing labs while providing scalable, reliable, and globally accessible testing environments.It helps organizations improve software quality, accelerate releases, reduce infrastructure costs, and enhance digital customer experiences.As businesses strive to provide flawless digital experiences across different devices, web browsers, and operating systems, software quality assurance has now become critical. This has led to the rise of BrowserStack as one of the most prominent software testing tools in the cloud.The company was co-founded by Indian entrepreneurs Ritesh Arora and Nakul Aggarwal, who founded the firm based on a challenge that had been plaguing the development community: How do you test websites across different browsers and devices? The solution that would make testing more efficient and eliminate the need for costly testing environments led to the creation of what is now a software quality assurance tool for enterprises, startups, and technology firms.From Startup Vision to Global Testing LeaderThe main value offered by BrowserStack stems from its provision of access to thousands of actual mobile devices and desktop browsers via cloud technology. Instead of having to acquire and maintain expensive labs for testing, development, and QA engineers gain the opportunity to immediately begin testing on actual environments worldwide.The service provides a means of running both manual and automated tests across multiple platforms such as browsers, operating systems, and devices. This has turned out to be particularly useful with more and more channels being used for accessing applications.The absence of bottlenecks related to infrastructure enables companies to develop and deliver their products to market faster and more efficiently.Comprehensive Product PortfolioBrowserStack has come a long way since its initial offering, evolving into a provider of various software quality solutions. The company now provides cross-browser testing, mobile app testing, automated testing, visual testing, accessibility testing, and test management.For instance, tools such as Live and Automate enable companies to test their web applications, whereas products like App Live and App Automate allow users to meet the challenges of mobile app quality assurance. In addition, BrowserStack's visual testing enables customers to find any unexpected changes to the user interface. It also helps organizations create more inclusive experiences through its accessibility testing tools. In short, BrowserStack provides a wide range of products to enable modern software quality engineering.The Next Phase of Testing: Leveraging AIAs artificial intelligence continues to revolutionize software development, it becomes apparent that BrowserStack is making efforts to incorporate AI functionalities into its application. The company has developed some intelligent testing methods, whose purpose is to limit human effort, maximize efficiency in testing, and discover defects.With the help of artificial intelligence, the company is working to make sure that developer innovations are not slowed by manual QA processes. Indeed, efficiency has become a major trend within the software testing industry. The adoption of AI technology reflects BrowserStack's readiness to adapt to developments in the constantly changing business environment.The Roadmap Ahead: Innovation and Strategic GrowthThe journey of BrowserStack has seen constant innovation and expansion. The company has diversified its technology base via acquisitions and enhancements that have sought to make software developers more efficient and productive.By acquiring Requestly, a developer tools platform that allows testing and debugging of APIs, BrowserStack made clear its intentions to grow into an ecosystem for software development.On the other hand, BrowserStack has maintained its focus on expanding its workforce while growing sustainably, thereby making it one of the best SaaS startup companies in India.A Global Impact on Software QualityBrowserStack caters to tens of thousands of clients spread across over 135 nations. Among their clients are startups, digital natives, and even some of the world's largest corporations. In view of how important digital transformation has become, there is a greater need than ever before for software testing tools, creating a significant growth opportunity for BrowserStack. In today's environment, where user-centric technology companies prioritize experience and reliability, BrowserStack's importance cannot be overlooked in terms of tech's value chain. Using its cloud infrastructure and increasing use of artificial intelligence, it has been able to make itself an essential component in enterprise-level software development.As software becomes integral to competitive success, BrowserStack’s vision remains clear – to help organizations create and launch superior digital experiences.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

India is now a global tech superpower, yet the fields that feed the nation still struggle with age-old challenges: broken supply chains, informal credit systems, and post-harvest losses. What’s the value of technological progress if it fails to reach the farmers who form the backbone of our economy? By converting stored grain into a digital asset, enabling instant credit, and deploying AI, IoT, and satellite intelligence across rural geographies, Arya.ag is proving that technology can work for those who need it the most. Anand Chandra, Co-Founder & Executive Director, Arya.ag shares how they’re solving India’s deepest agri challenges with practical, problem-first innovations.How does Arya.ag use AI, IoT, and satellite data across the grain value chain and what makes your tech deployment accurate across diverse geographies and crops in rural India?Arya.ag integrates technology to create the most practical value in the agricultural supply chain. Satellite imagery is a key layer in our stack. It enables predictive analytics on crop health, weather-related risks, and biotic stress. These insights directly inform our procurement planning and advisory services. For example, we can flag early warning signs of crop failure or pest outbreaks, allowing farmers and buyers to make timely decisions.AI is used for quality grading of grains and for risk scoring that determines a farmer’s credit eligibility. IoT systems are embedded into our hermetic storage infrastructure to support real-time surveillance and inventory management, particularly in warehouses close to the farm.What ensures accuracy is how these technologies are layered and localised. We operate across 11,000 near-farm storage points in 425 districts, covering 21 states. The models we use are trained using regional parameters and adapted to local cropping cycles and behaviour. This is not a one-size-fits-all deployment. The stack evolves with geography, making it both context-aware and scalable.By turning grain into digital assets, how is Arya.ag reshaping farmer access to credit and what does this mean for financial inclusion at scale?Once produce enters our storage network, it is graded, weighed, and converted into an electronic balance. This balance is a digital representation of value that can be offered as collateral for credit or sold through our platform. This method unlocks access to formal finance without relying on land records, income statements, or traditional credit scores. More than 40 percent of our borrowers are accessing formal finance for the first time. Crucially, this creates an alternative to informal financial systems. Farmers no longer need to depend on local traders or commission agents for liquidity. With digital visibility and secure collateral, they can take loans based on stored produce and choose when to sell. The credit process is designed for speed and transparency. Disbursement happens in minutes, repayments are tied to commodity sales, and all transactions are visible to stakeholders. It is a system that brings financial inclusion to fragmented, underbanked regions, while also de-risking credit by focusing on the commodity rather than the farmer alone.What is one AI or IoT application that surprised you with its impact, and how are these insights actually enabling farmers or partners on the ground?Biotic stress detection through satellite imagery has been one of the most impactful use cases. We piloted this capability in select districts through our FPO partners, aiming to improve crop visibility. During one cycle, the system flagged early-stage pest risks in maize before they were visible on the ground. This advisory was delivered through our app and verified by our field teams. The FPO acted on the alert, which helped farmers intervene early and significantly reduce crop losses.What made this solution stand out was not just the outcome but the cost at which it was delivered. Satellite-based insights have typically been expensive or limited to large enterprises. We have made this capability available at a price rural institutions can afford. That combination of affordability, speed, and accuracy makes it practical for wide-scale deployment.It also reinforced an important lesson. Technology only creates value when insights are timely, actionable, and delivered through a trusted interface that connects digital systems to people on the ground.With poor connectivity and low digital trust in rural India, what is the most realistic way to scale agritech, and where are policymakers or innovators missing the mark?The most realistic path to scale is to decouple digital outcomes from digital literacy. Farmers do not need to become full-time app users. What they need is a consistent experience where technology works seamlessly in the background, delivering visible benefits.This is where human-led, tech-enabled models work well. A warehouse operator helping a farmer access finance or an FPO lead executing a trade creates more confidence than a digital-only system. Trust builds when the farmer sees the grain being weighed, tagged, and recorded as an asset they can track and use.Affordability is another critical factor. As we saw with satellite-based pest alerts, the cost at which a solution is available determines whether it can move beyond pilot projects. Technologies that are affordable, modular, and localised are the ones that will scale.Most importantly, the agritech sector must shift from a solution-first mindset to a problem-solving approach. The focus should be on solving specific, real-world problems, such as post-harvest loss, delayed payments, or access to working capital. When technology addresses pain points rather than pushing pre-built products, adoption becomes organic and sustainable.How can India build a rural workforce that is fluent in both agriculture and technology, and how can we encourage global adoption?India can build an agri-tech fluent workforce not just through training programs but by creating roles where agriculture and technology are integrated. We have seen this with warehouse managers, sourcing leads, FPO tech operators, and credit enablers who earn by enabling farmers through digital tools.This alignment of incentives drives faster learning and adoption. Rural India is not unfamiliar with technology. When there is visible utility and income opportunity, adoption is fast. For instance, the rapid rise of UPI payments among vegetable vendors and rickshaw drivers happened because it solved a real-world problem in a simple, cost-free way. Agri-tech will follow a similar path. The more a tool improves efficiency, reduces loss, or increases income, the more quickly it will be embraced even in low-literacy or low-connectivity environments.On the global front, India has an opportunity to set a benchmark. Countries in Africa, Southeast Asia, and Latin America face similar post-harvest and financial access challenges. If India can demonstrate that decentralised infrastructure, tech-led visibility, and commodity-backed finance can succeed in harsh conditions, it provides a practical model for others to adopt.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewCompare leading AI coding subscriptions that effectively balance affordability, performance, flexibility, integrations, and long-term developer productivity.Discover ideal plans matching students, freelancers, professionals, diverse coding workflows, budgets, and evolving project requirements.Understand pricing models, usage limits, hidden costs, and vendor lock-in, ensuring smarter subscription decisions for developers.Advanced AI systems have emerged as reliable coding partners that provide comprehensive assistance with coding tasks, including debugging, optimization, and even suggesting architectural frameworks. The debate for modern developers is not about adopting AI, but selecting the most effective paid coding assistant.Several platforms are competing in this space to capture the new emerging audience. The AI market offers budget-friendly options for students and advanced, multilevel, task-oriented coding plans for professionals to reduce costs, save time, and enhance productivity.This guide aims to provide top AI coding subscription plans that offer affordability, flexibility, and performance, helping developers choose plans best suited to their needs and the complexity of their tasks.Types of AI Coding Subscription PlansAI platforms come in a wide variety of plans that target different kinds of users. As a user, it is important to be aware of the types of subscriptions available in the market. Here are some of the key considerations for developers:Budget vs Usage: Entry-level plans suit users who require light coding, while flat-rate bundles are more suited for users who require heavy daily use.Tool Compatibility: Check if the plan integrates with the IDE (Integrated Development Environment), such as VS Code, JetBrains, and Cursor.Model Access: Some subscriptions lock you to one vendor; others are multi-compatible, like DevPass plans that deliver multi-model flexibility.Predictable Plan Billing: Get flat rate plans to avoid surprise token overagesAlso Read: IBM Unveils World's First Sub-1nm Chip Technology, New Era for AI Computing BeginsQuick ComparisionAlso Read: The Growing Importance of Data Engineering Skills in the Modern Technology LandscapeRecommendations for Indian DevelopersHere are some of the best recommendations for Indian users as per their requirements and coding complexity:Best Budget Choice: GLM Lite at $3/month is best for students and light users.Best Mid-range: MiniMax Starter at $10/month is better for freelancers who need to balance speed and cost.Best Premium Value: DevPass Lite at $29/mo is perfect for professionals needing multiple models and predictable billing.Bottom Line: If flexibility and predictable costs are priorities, DevPass is a great choice. For coders with a limited budget, GLM Lite and MiniMax offer good entry points, while Claude Code Pro and GitHub Copilot remain perfect for those tied to their ecosystems.Risks & Trade-offsTo get the most out of these AI coding plans, it could prove useful to consider the various risks, trade-offs, and bargains these coding plans provide:Hidden Limits: Prompts may have different definitions on different plans; some platforms count ‘prompts’ differently; a single coding query may trigger 5–30 model calls.Vendor Lock-in: Copilot and Claude are not multi-system-compatible and are tied to a single ecosystem.Token Inflation: Newer model tokenizers such as Claude Sonnet 5 can raise effective usage costs by 35%.Budget Overruns: Usage-based billing for services like Copilot and Claude Max can surprise developers with runaway agent loops.Empowering Developers with Smart ChoicesAI coding subscriptions are no longer a choice; they’re essential to stay afloat with the market pace and high quality. A good AI plan ensures productivity, creativity, and efficiency.Whether it is the budget-friendly plans for students, an optimized plan for speed and cost that freelancers can rely on, or multi-model flexibility to meet the demands of high-end professional developers, the right subscription can be a game-changer.The most useful approach would be to map your budget, coding style, and tool ecosystem against the available plan and choose the one that offers predictable value. By investing smartly, developers ensure they’re not just keeping up with the high pace and time-saving aspects of AI-driven coding, but also staying ahead of the curve.FAQs1. Which AI coding subscription offers the best value in 2026?The best value depends on your needs. Budget users can consider GLM Lite, freelancers may prefer MiniMax Starter, while professionals needing multiple AI models can benefit from DevPass. GitHub Copilot and Claude Code Pro are ideal for developers invested in their respective ecosystems.2. Is GitHub Copilot better than Claude Code Pro for coding?GitHub Copilot excels with seamless IDE and GitHub integration, making it great for everyday development. Claude Code Pro is better suited for developers who prioritize advanced code reasoning, debugging, and handling complex programming tasks.3. What should developers consider before choosing an AI coding subscription?Key factors include pricing, usage limits, supported AI models, IDE compatibility, billing structure, performance, and whether the platform allows multi-model access or locks users into a single ecosystem.4. Are budget AI coding plans suitable for professional development?Budget plans work well for students, hobbyists, and light coding tasks. Professional developers working on larger projects may benefit more from premium plans that offer higher usage limits, faster response times, and advanced AI models.5. Can AI coding assistants completely replace software developers?No. AI coding assistants can speed up coding, debugging, documentation, and testing, but human developers remain essential for software architecture, business logic, security decisions, and overall project management.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp