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Shipping isn't the bottleneck anymore. Attention is.Maanav Agrawal kept seeing the same pattern.Some of the coolest products weren't getting the attention they deservedMeanwhile, companies that consistently shared what they were building were generating inboundHe'd lived it himselfHe saw it in other industries like real estateHe saw it across his YC batch and among founders generallyThe problem wasn't always the product.It was making sure people knew the product existed.So he and Co-Founder Jason Zhan built Memoir (YC P26)A marketer with the soul of an engineer. Memoir connects to your product source of truth and understands what changed, why it matters, who should hear about it, and how to tell the story.A new feature shipsA PR worth talking about gets mergedA meaningful update goes liveMemoir turns it into:→ Social posts → Blogs → Changelogs → Demo videos → Customer updates → Launch contentAll in your company's voice.They built it for themselves: Engineers who love buildingBut, like most founders, don't always have time to build in public.Now they don't have to.The work speaks for itself - automaticallyMemoir turns product velocity into market velocity🎙️ Maanav Agrawal, CEO & Co-Founder, Memoir on Fondo START 00:53 "Shipping is not the bottleneck, attention is."01:19 How Memoir connects directly to GitHub and monitors product changes01:38 Deciding which product updates are important enough to share publicly02:03 Keeping founders in control with approval before publishing02:40 Why some of the best products never get the attention they deserve03:20 The challenge facing startups without dedicated marketing teams03:49 Why engineering teams move faster than marketing teams can keep up05:17 The original YC idea: developer infrastructure and latency optimization05:58 The realization that marketing was the biggest bottleneck in real estate06:18 The insight behind Memoir: unify engineering velocity and marketing velocity‍Check out trymemoir.ai‍

A single glass of water holds about 20 hours of breathingLeo Kankkunen is building the gear that pulls it outTankless diving technology that generates breathable oxygen directly from water. It sounds impossible at first. Then you hear the physics...Then you realize the implications stretch far past divingWater is hydrogen and oxygen. Apply a DC current, swing away the electrons binding them, and you get the purest form of breathable gas.The idea started with a simple frustrationLeo is an electrical engineer and a diver. Every dive exposed the same limits: Bulky tanks, Logistics, Safety risks, Cost, and Operational complexity.Instead of accepting those constraints, he asked a question: Is there any way we could breathe like a fish?That sent him down a rabbit hole into electrolysisIf water already contains oxygen, why haul tanks at all? Why not generate breathable oxygen exactly where and when it's needed?Enter DAIVIN! (YC W26) - Tankless dive gear that generates oxygen directly from the water around you. No tanks to haul, fill, or run out of.But diving is just the wedgeAnywhere breathing depends on a tank, the tank sets the limit. Crisis zones. High altitude rescue. Anywhere time is human lives. Generate the oxygen on site, and there's no supply chain to depend on.🎙️ Leo Kankkunen, CEO & Founder, Daivin on Fondo START pod00:18 What Daivin is building and why oxygen tanks are the real problem00:43 One glass of water holds roughly 20 hours of breathing01:05 The science of splitting water into oxygen and hydrogen with a DC current01:38 The wearable system that draws in surrounding water and produces oxygen02:10 Leo's path from electrical engineer and diver to founder02:48 Where the tech stands today: commercial close, consumer further out03:15 Why removing oxygen logistics matters in crisis response and rescue03:38 The Netflix versus Blockbuster framing for oxygen infrastructure04:05 Why water beats gas tanks for breathing beyond Earth05:20 From a Slush side event in Finland to a YC interview within weeks06:25 Building in San Francisco versus Finland and compressing months into weeks07:15 Leo's advice for founders: build what genuinely interests youCheck out daivin.tech

Most brands don't know if their marketing is working.They launch campaigns. Spend real money. Watch the dashboards. Then hope.Months later, a report arrives explaining what happened. The campaign is over. The budget is gone.The market has already moved.That's how brand tracking has worked for years.Henk and Harry are repeat founders with exits behind them - two decades building brand trackers for the world's largest brands on one side, a startup built and sold plus a market research career on the other. They'd watched the same problem from the inside for years.Tracking was expensive. Slow. Built around snapshots. Not how brands actually grow.So they built Timelaps: An AI-native brand tracker that continuously surveys thousands of real consumers and shows whether your marketing is moving the metrics that matter. Brand awareness. Consideration. Preference. Category ownership. Brand growth.Research-grade tracking. Updated continuously. Running in days instead of months. At a fifth of the cost of traditional tracking.From "What happened?" to "What's happening right now?"‍🎙️ Henk Pretorius & Harry Zhang, Co-Founders, Timelaps on Fondo START pod‍00:17 Building AI-native brand intelligence for modern brands00:45 Why brand tracking remains one of marketing's biggest pain points01:53 How two founders met at ODF and began validating ideas together02:42 Combining market research expertise with startup experience03:24 Landing customers from a prototype before building the full product03:46 Winning Product Hunt with an early demo04:35 Why the original customer problem never changed05:30 The limitations of traditional brand tracking and brand audits06:03 Moving from delayed reports to continuous insights06:40 The metrics that matter most in brand intelligence07:35 Making enterprise-grade brand tracking accessible to challenger brands11:43 Why San Francisco accelerates founder learning and execution12:47 The "Olympic Games of building companies" mindset‍Check out www.timelaps.io

99% of session replays are your app working exactly as expected (hopefully)The other 1% is where the friction hidesThe bugs.The failed onboarding flows.The conversion leaks.No team has time to watch them all.That's the problem Michael Egan and his co-founder kept hitting at their last company. They had analytics. They had session replays. They had ideas to improve conversion.The small fixes always lost to bigger priorities..So they pivoted and built CodeCanary: An AI product engineer that connects to GitHub, PostHog, and Slack. It watches your session replays, finds the UX friction, and opens pull requests with the fixAlways on. Always shipping.Not dashboardsNot alertsActual fixes‍🎙️ Michael Egan, CEO & Co-Founder, CodeCanary on Fondo START pod‍00:57 AI agents connected to your product analytics and codebase01:20 "You wake up to pull requests the next morning"03:41 Pivoting from enterprise mapping software04:42 Why nobody actually watches their session replays05:02 Surfacing the 1% of user behavior that matters05:47 Autonomous A/B testing tied directly to revenue06:37 Why this solves problems engineers never had time for07:30 "With every new user, your product gets a little better"08:30 How to know when it's time to pivot‍Check out www.codecanary.ai‍

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 constraint on manufacturing.Remove gravity and semiconductor defects drop. Pharmaceutical crystals become more stable. Biological structures that collapse on Earth can solidify in microgravity.To prove the concept, the team built a full-scale heat shield, drove into the Mojave Desert, and blasted it with a rocket engine at 14× expected re-entry force.It survived 6× what they needed.The long-term vision:Factories in orbit. Permanent industrial infrastructure in space.🎙️ Payton Case, Co-Founder & CEO of Dispatch, on Fondo START pod00:12 What Dispatch is building: reusable re-entry vehicles for orbital manufacturing01:16 The next big space race... will involve bringing things back down to Earth02:05 Expanding from re-entry vehicles to industrial space stations02:33 Mojave Desert heat shield testing03:48 Gravity is this invisible constraint on manufacturing04:06 Pharmaceutical crystal growth in microgravity04:53 Semiconductor manufacturing with lower defect rates06:39 Understanding the modern space infrastructure stack08:01 3D printing organs in microgravity09:37 The coolest thing to be done in space has not been thought of yetCheck out dispatch.space‍

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's either correct or incorrect. Binary. No ambiguity.The hard part: the space of possible proofs is combinatorially large. Humans somehow navigate it with strange inductive biases. Machines couldn't keep up.Then reinforcement learning changed what's possible. AI can now iterate against an infinite source of reward: mathematical correctness itself.The thesis: create a superintelligent mathematician, and you solve most problems.They're already working with frontier AI labs. Starting in quantum computing and finance. Software verification and cryptography next.🎙️ Pedro Nobre, Co-Founder, Cajal on Fondo START Pod‍01:37 Formal verification explained - verifying whether software or mathematics is correct02:24 We need to make sure what AI outputs is correct03:07 Why mathematical proof search is combinatorially difficult03:42 How reinforcement learning is changing theorem proving04:11 Why AI is suddenly solving harder math problems04:28 We already have access to a superhuman mathematician04:46 The future of checking whether all mathematics is actually correct05:42 Quantum information theory and applied verification research06:36 Smart contracts, specifications, and provably correct systems07:11 If you create a super intelligent mathematician, then you solve most problems.‍Check out caj.al

The entire vibe coding wave got one thing backwardsEveryone optimized for speedPrompt in, app out, as fast as possibleBut the bottleneck isn't just speedIt's contextGive coding agents better context and everything improves.Lower costFaster executionBetter outputWoz is built for that shift.A Claude Code plugin that makes coding agents faster, cheaper, and higher performingUp to 55% cheaperUp to 40% fasterHigher benchmark scores than Claude Code aloneAnd the timing matters:The age of tokenmaxxing is ending. The age of more measurable ROI is beginning.🎙️ Ben Collins, CEO & Co-Founder, Woz on Fondo START pod 00:57 Context is the biggest bottleneck02:11 Why prompt-to-output breaks at enterprise scale03:28 Apple cracking down on AI-generated apps05:02 Why local AI models are becoming viable06:37 The rumored Cursor and xAI acquisition07:01 Coding agents and the zero-margin problem09:48 The end of token maxing12:32 Why AI infrastructure is shifting toward ROICheck out wozcode.com to learn more.