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Most cancer drugs target proteins FinalDose thinks the real opportunity is one layer deeper: DNA Jeff Liu and his team are building a programmable drug platform that uses genetic mutations to identify and selectively destroy cancer cells Cells without those mutations are not targeted Instead of creating a completely new drug for every cancer type, the platform is designed as a reusable system with...

The next big space race won’t be about going up. It’ll be about bringing things back down. After four years building satellites at Astranis, Payton Case realized something: as launch costs collapse, the bottleneck flips. There’s still no infrastructure for manufacturing products in space and returning them safely to Earth. So Dispatch is building it. The thesis is simple: gravity is an invisible c...

Ansel Dias is using his robot factory to build more robot factories AutoFAB is a robotic desktop factory that prints, assembles, quality-checks, and packages hardware autonomously It’s already being used to manufacture more of its own robotic arms The insight behind it is simple: Prototyping is easy Production is the completely different ballgame - and that’s where hardware startups die Factories....

The most valuable thing in AI won't be generating answers. It'll be knowing which ones are right. Right now AI writes code, solves problems, produces proofs. But there's no way to guarantee any of it is correct. Pedro Nobre is building that guarantee. Cajal sits at the intersection of formal verification and AI. They use Lean, a language that lets you formalize a statement and derive a proof that'...

A bug shows up in your product  Lucent spots it  Drops an alert in Slack Someone tags a coding agent in the thread  It ships a PR Fixed before anyone knew it was broken This is the workflow Lucent users are actually running today Lucent watches your session replays like a human analyst: friction points, bugs, failed upgrades... Patterns no human has time to sit through Connects to PostHog. Quick s...

The entire vibe coding wave got one thing backwards Everyone optimized for speed Prompt in, app out, as fast as possible But the bottleneck isn't just speed It's context Give coding agents better context and everything improves. Lower cost Faster execution Better output Woz is built for that shift. A Claude Code plugin that makes coding agents faster, cheaper, and higher performing Up to 55% cheap...

Your AI agent makes a mistake. Who pays for it? Not your E&O policy That assumes a human made the error Not your cyber policy That assumes an attacker breached the system Autonomous AI agents are explicitly excluded from both Ines Boutemadja discovered this while building AI agents for enterprises Then procurement started asking for proof the AI was actually covered Existing policies couldn’t...

AI coding tools are making developers faster than ever QA still hasn't caught up Aakash saw it firsthand at Windsurf during the AI coding explosion Then realized: QA is probably a bigger bottleneck than coding itself So he built Canary An AI QA engineer that reads your source code, maps changes to real user flows, spins up remote browsers, and drops video recordings directly into the PR 15 minutes...

The “buy a list and blast emails” era is ending Not because outbound stopped working Because the data got smarter than the emails Kathryn Wu and her co-founder built Openmart as an SMB intelligence layer: Verified owners Decision-maker contacts Google reviews Website quality Location intelligence & more Now they've launched "OpenClaw for Sales" A conversational outbound workspace built on top...

A drug was approved in China Then it failed clinical trials in the US No one could figure out why The answer was hiding in the gut microbiome Anto Bio’s model helped identify it 99% of the genes in your body aren't yours  They belong to your microbiome Over two-thirds of drugs are heavily affected by how your gut processes them But the microbiome data was too noisy. Too messy. Petabytes of it just...

Most people think they need more motivation to work out They need less friction But training plans assume your life stays static You travel It rains  You have 20 mins between meetings People don't quit because they lack discipline They quit because adapting the plan is harder than the workout itself HYBRD brain can help An adaptive AI agent that adjusts your training to whatever life throws at you...

Every voice AI has the same problem The moment you stop talking, it starts talking But humans don’t work that way In real conversations, pauses don’t always mean interruption. Sometimes they mean: keep going Current AI misses this completely. Amit Yadav spent years building real-time AI systems at Meta Reality Labs for Ray-Ban smart glasses Now he’s building Fern: a sales copilot that assists team...

Speed to lead sounds like a sales tactic It's actually the whole game Ruben Harris knows this better than anyone He built a 300-person call center across 3countries to reach 1M people a month  ...and saw exactly where the ceiling was The problem isn't effort. It's physics.  A working-class student fills out a form at 10 PM. Nobody's staffed at 10 PM So 90% of leads go cold Not because they weren't...

The way to make software faster was always: make the code happen faster AI solved that  Cursor, Claude Code, Replit... Building is nearly instant now So what's slow? Knowing if it actually works. When AI writes your feature, someone still has to answer: did it break everything else? That's the new bottleneck. Not creation. Validation Jack Brown is building Lark to solve exactly this.  An AI QA eng...

Google used to surface the PDF of a law if you searched its exact name. Now it surfaces consultancies advising on it. And LLMs have gotten worse at this too. As they’ve tried to cut costs and focus on the information 99.99% of users want, long-tail edge-case data has become much harder to find. Natalie Aresta-Katz was at a big law firm. One of their biggest clients wanted to track new and proposed...

Tech is the biggest story in the world and its media is somehow the least fun to watch Adil Mania moved from Paris to SF to change that Now he's building a full media company around one idea: tech doesn't need to be packaged like homework A live night show. A print magazine. A weekly newsletter. An animated recap Every major industry learned how to entertain Now it's tech's turn 🎙️ Adil Mania, Fou...

Liam Karlsson had no clue why his SEO clients were losing traffic while rankings held Then his 57-year-old mom asked ChatGPT for new running shoes Nike answer. Bought the shoe. Was super happy.  Google was never part of that customer journey... That was the seed of Rankad.ai He pitched Co-Founder William Gyltman . They went all in Track and grow brand visibility across ChatGPT, Perplexity, Gemini,...

Amazon sellers do not have a data problem. They have a decision problem. They already have the clicks The conversions The impressions The keyword history What they do not have is a system that knows what to do with it. So brands pay agencies $5,000 to $50,000 a month - and still lose money on ads Matthew Chen built Laurence to change that. A quantitative system for Amazon advertising. Built for co...

Construction doesn't fail on the jobsite. It fails in the drawings. The jobsite just reveals it Project managers spend half their time scanning plans page by page for conflicts between disciplines. Plumbing through steel beams. Electrical into HVAC They still miss most of it. Millions in rework when caught in the field Milind Sagaram built Articulate to catch these issues before construction start...

Agents don’t need bigger models. They need better tools. Morph trains coding subagents. Not for humans. For frontier models. Fast Apply edits at 10,000 tokens/sec . WarpGrep handles code and log search. Both keep the main model’s context clean Because when context gets too large, performance drops. Now Morph is pushing coding subagents even faster. One newer model runs at 33,000 tokens/sec: https:...

Pamir Ehsas spent years as outside counsel serving startups.  He saw the same problem on repeat Simple legal work took weeks. Pricing was opaque. Lawyers kept starting from scratch instead of using AI So he built Arcline.  AI generates the first draft. Elite lawyers from the best firms, and schools (Harvard, Oxford etc.) do the final revision Up to 80% of the work gone. Same-day turnaround (Try ge...

An employee used his corporate Gemini account to generate fake receipts for reimbursements Not because he was lying. He just didn't have the real ones That's when the CISO realized they needed Oximy Ask an enterprise how many AI tools they use. They say 10. The real number is probably 40+ Most of the risk isn't malicious. People just want to get things done faster. So customer lists end up on free...

Attorneys are trained to spot issues. That’s literally what law school teaches. Show them your product, and the first thing they’ll say is: “the margin is off on this.” Every hour they spend learning software is an hour they’re not billing. Raffi Isanians knows that because he lived it. Kirkland. Gunderson. Years inside private equity and venture work. That’s why Mage Legal has a simple standard:...

The internet was the training set for intelligence Nobody has built the equivalent for the physical world Previously, Lucas Ngoo co-founded Carousell, scaled it past $1B  Now at Cortex AI he's collecting the data robotics labs need to train foundation models Cameras, VR headsets, glasses on factory workers, retail workers, everyday people. Recording real-world manipulation work (Maybe tens of mill...

Some hotel software is still DOS-based. Sometimes pen and paper (that's why guests are waiting 45 mins to get towels) Gavin's dad has worked at Marriott for the last nine years. When he showed Gavin the old software, that was the spark Lance builds AI agents that answer calls, handle back office operations, run sales workflows & more Started with voice, got inside the hotels, and realized how...