🚀 Zaprep: Sosialmu Supercharged. Mulai gratis — otomasi 1.000 DM/bulan & ubah engagement jadi lead. dengan 1.000 DM otomatis/bulan.
Kirim Alatmu
PoweredByAI.app adalah Direktori Alat AI yang membantu individu, bisnis, dan kreator menemukan alat AI terbaik untuk menulis, coding, desain, produktivitas, dan lainnya.
© 2026 , Produk dari011BQ. Hak cipta dilindungi.

What does one of Silicon Valley’s most successful venture firms think founders are getting wrong? AtTechCrunch Disrupt 2026, we’re putting all five Benchmark general partners on one stage to find out. Jack Altman, Peter Fenton, Chetan Puttagunta, Everett Randle, and Eric Vishria will come together for the Disrupt Stage session “What We Believe Now.” This is the first time the entire current Benchmark partnership has appeared together on the Disrupt Stage in San Francisco. Rather than another conversation about where venture capital has been, the focus is on where it goes next: where the next generation of startups will come from, which assumptions founders should reconsider, and which opportunities the partners believe are still hiding in plain sight. And 2026 is an especially interesting year to ask them. Benchmark has spent decades building a reputation around concentrated early-stage investing. This year, it made one of the biggest changes in its own playbook — raising approximately $2 billion across a $750 million flagship fund and its first $1.25 billion growth fund. The market changed. Benchmark changed with it. Now we want to know what the firm thinks will happen next. Sit front and center to get tomorrow’s venture insights at Disrupt.Register now to save up to $200before prices increase on September 25 at 11:59 p.m. PT.Save an additional 30%on group passes for four or more. AI has reshaped the venture market with extraordinary speed. According to the OECD, AI companies captured 61% of global venture capital investment in 2025 — $258.7 billion of $427.1 billion invested overall. Yet that capital was far from evenly distributed: deals worth more than $100 million represented roughly 73% of total AI investment value. That creates a strange environment for founders. There is huge appetite for technology businesses, alongside growing competition for a relatively small number of companies investors believe can become category leaders. Is the next billion-dollar company another AI application, or is the application layer already overcrowded? Does defensibility sit in models, infrastructure, proprietary data or distribution? Are some of the best businesses being overlooked because everyone is chasing the same themes? And when founders can build products faster than ever, what actually makes one company investable? There probably won’t be complete agreement onstage. That’s the point. Hear this complex discussion among five VC heavyweights on the Disrupt Stage.Register now to save up to $200before prices increase on September 25. Benchmark’s partnership brings together experience from founding companies, backing enterprise software, investing in frontier technology, and helping businesses navigate IPOs and acquisitions. Jack Altmanjoined Benchmark this year after founding Lattice and subsequently building his own venture firm, Alt Capital. Before Altman joined Benchmark, Alt Capital had raised $425 million across its early-stage investing activities. His path gives the discussion an unusually direct founder-to-investor perspective. Peter Fentonbrings one of venture’s longest track records. His investments span consumer and enterprise companies, including current AI bets such as Sierra, Digits and Sema4.ai. He has served as a director through seven successful IPOs, including Twitter, Elastic, New Relic, Zendesk and Yelp. Chetan Puttaguntafocuses on early-stage enterprise software and has backed companies including MongoDB, MuleSoft, Elastic, Modern Treasury, Legora and Stytch. Everett Randlebrings experience investing across stages and categories, with investments that include Anthropic, SpaceX, Rippling, Flock Safety, Gumloop and Chainguard. AndEric Vishriafocuses on early-stage infrastructure and enterprise software, with investments including Amplitude, Confluent, Fireworks.ai and Cerebras Systems. Before becoming an investor, he was himself a startup CEO, co-founding RockMelt before its acquisition by Yahoo. Put those perspectives together andthis session, “What We Believe Now,”becomes less about a single Benchmark thesis and more about how experienced investors disagree, update their assumptions, and decide where conviction is warranted. Hear this session live in October andsave up to $200when you register before prices rise on September 25. Cerebras is a useful example.Vishria recently told TechCrunchthat he almost didn’t take his first meeting with the AI chip startup in 2016. Hardware was outside Benchmark’s comfort zone, and what Cerebras wanted to build looked extraordinarily difficult. By the third slide, he had changed his mind. Benchmark went on to co-lead the company’s $25 million Series A. A decade later, Cerebras went public, with Benchmark holding a 9.5% stake at the IPO. That story encapsulates something important about venture investing. The best opportunity does not always arrive looking like the consensus winner. Sometimes it challenges the investor’s existing thesis. Sometimes the technology is too early. Sometimes the market does not obviously exist yet. And sometimes knowing when to change your mind is more valuable than being right from the beginning. Expect that kind of thinking to surface on the Disrupt Stage. Register before September 25 to save up to $200 on your pass.Prices will increase after. For founders, there may be no more useful part of the session than hearing what Benchmark believes entrepreneurs are currently misreading. Not because Benchmark is automatically right, but because understanding how sophisticated investors assess markets, teams, and opportunities gives founders another way to interrogate their own assumptions. Investors can compare those frameworks with their own. LoB leaders can see which shifts venture firms believe are durable enough to shape the companies they work for – and where capital may flow next. For students, aspiring founders, and anyone simply trying to understand where technology is heading, it’s a rare opportunity to hear five investors with very different experiences work through their ideas in the same room. And those ideas matter well beyond the venture industry. Investment decisions are ultimately bets about which technologies, business models, and founders have the potential to shape the next decade. Register now to save up to $200before they increase on September 25, 11:59 p.m. PT. A lot can change in the world of tech in twelve months. AI capabilities move. Markets emerge. Categories disappear. Companies that looked inevitable suddenly don’t, while businesses few people were watching break through. Having a thesis matters. Knowing when to update it matters more. Join Jack Altman, Peter Fenton, Chetan Puttagunta, Everett Randle and Eric Vishria on the Disrupt Stage and hear what Benchmark believes now – and what might convince them to change their minds next. Disrupt 2026returns to San Francisco’s Moscone West, October 13–15, bringing together more than 10,000 founders, investors, operators and innovators across six stages, roundtables, breakouts, Startup Battlefield, theExpo Hall, and more. The next great company may already be being built. Find out where some of Silicon Valley’s most experienced investors are looking for it at TechCrunch Disrupt 2026.Register now to save up to $200before prices increase on September 25 at 11:59 p.m. PT.Save an additional 30%if you register with a group of four or more.
View

In May of 2025, Ahad Ali was a successful accountant, overseeing a team of 20 people and handling more than 2,000 returns a year. “We did bookkeeping, accounting, sales tax, taxes, everything,” Ali says. It was a stable business, and one that would have been easy to stay in. But Ali started to notice something. His work was increasingly dictated by the frictions of accounting software, which was rarely designed with actual accountants in mind. He became frustrated with specific accounting software like QuickBooks, and soon he became frustrated with the entire idea of SaaS-based accounting. “I realized that small businesses don’t need better accounting software,” Ali told TechCrunch. “They need less accounting software. They need something that just does it for them.” Now, Ali is building just that. His product, Tabby, is designed to be a real-time bookkeeping interface, handling clients’ paperwork as it gives them up-to-the-minute data on their business’s profit and loss. Using Plaid to import live account data, Tabby uses AI to quickly build a real-time dashboard for a business’s financial health. There’s also a version of Tabby for accounting firms that want a smarter alternative to Quickbooks, but Ali’s goal is to go direct to the end user as often as possible. As Ali sees it, products like Tabby have a chance to automate away the work of bookkeeping once and for all, turning it into a monthly charge on the order of internet access or payroll services. If successful, it could seriously change the calculus of operating a small business. “You can say Quickbooks digitized bookkeeping,” Ali told TechCrunch, “but we want to make [that visible software layer] nonexistent.” So far, it seems to be working. Fourteen months in, Tabby has 5,500 small businesses using the platform, with roughly $100,000 in annual recurring revenue. The team is still just seven people — Ali, his technical co-founder, four engineers and a go-to-market specialist — and in the process of raising $1 million in pre-seed funding. When I spoke to Ali, his team was just preparing to launch Tabby Talk, a natural language interface for the product. There’s plenty of competition in the accounting space, particularly now that AI has shaken up the ___. Ali has his eyes focused on Quickbooks, which is still the biggest player — but he’ll also be facing well-funded startups likethe Sequoia-backed Rillet, as well as the major labs’own finance tools. It’s a daunting task, but Ali thinks that Tabby can carve out a niche by focusing on the same small-to-medium-sized firms that helped his accounting business thrive. “Everything we see is making us believe that there’s a path for other players, because the space is big,” Ali told TechCrunch. “There’s 30 million more businesses.” Learn more about Tabby and the other innovative startups involved in our prestigious Battlefield competition at TechCrunch Disrupt,happening October 13-15in downtown San Francisco.

According to Adobe’s India AI and Digital Trends research, 65% of Indian consumers already use AI for personalised product recommendations.
View

Google Gemini AI model reportedly breached protected systems of three other companies in a cybersecurity test. The incidents reportedly occurred in May during an evaluation conducted by cybersecurity firm Irregular. Google reportedly confirmed the hacks last week. The incident is described as the first known breakout by the Gemini AI model. OpenAI and Anthropic also reported AI Security Incidents in recent months.
View

The 67-acre facility at Chandrapur will track objects in orbit as part of India's Space Situational Awareness programme.
View

The Chennai centre will operate independently of Starbucks’ retail joint venture with Tata Consumer Products.
View
Aheesa’s Vihaan-I chip is built on the open-standard RISC-V architecture and uses the indigenous VEGA processor developed by C-DAC.
View
As AI agents scale, enterprises are finding that one model cannot economically handle every request.
View

Security researchers said Claude helped them turn a libheif vulnerability into a working exploit that was later used to reach an OpenAI employee account and an internal repository.
View

Semiconductor equipment maker ASML plans to initially hire 20–30 engineering graduates as Tata Electronics develops its Dholera chip fab.
View

The discussions come as Anthropic weighs competitive pressure against its safety commitments.
View

The argument for AGI rests less on Astra being better at one task and more on its ability to operate across a range of intellectual and professional tasks.
View
View