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  1. START pod: Payton Case, Co-Founder & CEO, Dispatch: “Satellites for Manufacturing in Space.”

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    START pod: Payton Case, Co-Founder & CEO, Dispatch: “Satellites for Manufacturing in Space.”

    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 pod 00:12 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 yet Check out dispatch.space ‍

    12 min
  2. START pod: Ansel Dias, Founder & CEO, AutoFAB: “Building a distributed 3D-printing network. Local microfactories, one platform, zero inventory”

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    START pod: Ansel Dias, Founder & CEO, AutoFAB: “Building a distributed 3D-printing network. Local microfactories, one platform, zero inventory”

    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. QA. Packaging. Scaling production. That’s the bottleneck AutoFAB wants to eliminate The long-term vision: AutoFABs making more AutoFABs 🎙️ Ansel Dias, Founder & CEO, AutoFAB on Fondo START pod  00:18 AutoFAB is a robotic desktop factory00:33 It prints things, then assembles them00:41 It does quality checks and even packs shipping boxes01:03 Putting hardware into production is extremely difficult02:01 AutoFAB to make more AutoFABs02:14 Growth will become geometric02:37 Right now it's making more of its own robotic arms Check out autofab.net to learn more

    4 min
  3. START pod: Pedro Nobre, Co-Founder, Cajal: “Scaling Formal Verification for Scientific Discovery”

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    START pod: Pedro Nobre, Co-Founder, Cajal: “Scaling Formal Verification for Scientific Discovery”

    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 Pod ‍ 01:37 Formal verification explained - verifying whether software or mathematics is correct 02:24 We need to make sure what AI outputs is correct 03:07 Why mathematical proof search is combinatorially difficult 03:42 How reinforcement learning is changing theorem proving 04:11 Why AI is suddenly solving harder math problems 04:28 We already have access to a superhuman mathematician 04:46 The future of checking whether all mathematics is actually correct 05:42 Quantum information theory and applied verification research 06:36 Smart contracts, specifications, and provably correct systems 07:11 If you create a super intelligent mathematician, then you solve most problems. ‍ Check out caj.al

    10 min
  4. START pod: Alisa Rae, Founder & CEO, Lucent: “AI that watches every session replay to catch bugs and surface insights automatically.”

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    START pod: Alisa Rae, Founder & CEO, Lucent: “AI that watches every session replay to catch bugs and surface insights automatically.”

    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 set up.  Julius, Mastra, BrowserUse and more already on it Every session replay you're collecting and not watching is data you're wasting Lucent can help 🎙️ Alisa Rae, Founder, Lucent on Fondo START pod  00:44 Building an AI that watches your session replays  1:10 Leaving Australia's Tall Poppy Syndrome for SF  2:41 Getting rejected by YC as a solo founder  3:32 Why she decided to keep building alone  4:36 Raising a $1.3M pre-seed round  6:43 Pivoting Lucent into AI training data  7:29 Returning to the original vision  9:27 Why this was impossible before modern AI  11:21 AI agents generating PRs from Lucent alerts  13:28 get a co-founder for YC? Check out www.lucenthq.com to learn more

    15 min
  5. 🎧 START pod: Ben Collins, CEO & Co-Founder, Woz: “The plugin that cuts your AI costs in half”

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    🎧 START pod: Ben Collins, CEO & Co-Founder, Woz: “The plugin that cuts your AI costs in half”

    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 speedIt's context Give coding agents better context and everything improves. Lower costFaster executionBetter output Woz is built for that shift. A Claude Code plugin that makes coding agents faster, cheaper, and higher performing Up to 55% cheaperUp to 40% fasterHigher benchmark scores than Claude Code alone And 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 ROI Check out wozcode.com to learn more.

    16 min
  6. 🎧 START pod: Ines Boutemadja, CEO & Co-Founder, Klaimee: "Liability insurance for AI Agents"

    15 MAI

    🎧 START pod: Ines Boutemadja, CEO & Co-Founder, Klaimee: "Liability insurance for AI Agents"

    Your AI agent makes a mistake. Who pays for it? Not your E&O policyThat assumes a human made the error Not your cyber policyThat 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 provide it. So she built Klaimee: the first purpose-build E&O coverage for AI agents Built for companies deploying AI in healthcare, fintech, and voice & more Her bet on the future: AI liability is inevitable ‍ 🎙️ Ines Boutemadja, CEO & Co-Founder, Klaimee on Fondo START pod  ‍ 00:57 "Klaimee is the insurance for your AI agents"  02:11 Building therapeutic agents and insurance claims agents  02:48 Existing policies "completely excluded" agentic AI  03:31 Enterprise procurement blocking deals without coverage  05:02 Why cyber and E&O fail autonomous AI risk  06:01 AI liability coverage for agentic system providers  10:20 First Algerian woman founder in YC  11:15 "Don't wait for permission"  14:20 "AI liability is inevitable"  16:18 Why stealth mode is overrated Learn more at www.klaimee.ai ‍

    19 min
  7. 🎧 START pod: Aakash Mahalingam, CEO & Co-Founder, Canary: “AI writes your code. Canary tests it”

    14 MAI

    🎧 START pod: Aakash Mahalingam, CEO & Co-Founder, Canary: “AI writes your code. Canary tests it”

    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 instead of days Now the workflows are getting even crazier One customer already runs a fully autonomous loop: Linear ticket → Cursor background agent → PR → Canary QA → Merge The engineer just reviews the outputs before approving the change Code generation is becoming autonomous QA has to become autonomous too 🎙️ Aakash Mahalingam, Co-founder & CEO, Canary on Fondo START pod  ‍ 00:15 What Canary does  0:57 Spinning up remote browsers to test  1:42 User flow validation vs file reviews  2:29 How this changes developer workflows  3:12 Lessons from Windsurf and Cognition  3:43 QA is a bigger bottleneck than coding itself 4:08 Pivoting inside YC from regression to feature testing  5:02 Applying to YC five times  6:11 Background agents opening PRs autonomously  6:37 "They didn't write a single line of code to merge that" ‍ Check out runcanary.ai to learn more.

    9 min
  8. 🎧 START pod: Kathryn Wu, Co-Founder, Openmart: “Openclaw for sales”

    13 MAI

    🎧 START pod: Kathryn Wu, Co-Founder, Openmart: “Openclaw for sales”

    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 ownersDecision-maker contactsGoogle reviewsWebsite qualityLocation intelligence & more Now they've launched "OpenClaw for Sales" A conversational outbound workspace built on top of that data No spreadsheet cleanupNo disconnected enrichment toolsNo giant table views Just ask the database what you need DoorDash uses Openmart for regional planningWhatnot uses it to identify high-quality sellersClay customers use the data directly inside outbound workflows Try it out at openmart.com 🎙️ Kathryn Wu, Co-Founder of Openmart on Fondo START pod ‍ 01:13 Openmart’s SMB intelligence database and Openclaw for Sales 02:16 The shift from giant lead lists to AI qualification and scoring 03:43 Why SMB data differs from LinkedIn-centric sales platforms 05:57 How modern GTM teams use multi-channel outbound workflows 06:39 The highest-value qualification signals in SMB sales 08:25 Openclaw for Sales and conversational outbound workflows 09:02 How DoorDash uses Openmart for regional planning 11:28 Deduplication and the hidden pain of outbound infrastructure 12:16 “The future is qualification and scoring” 14:08 Why proprietary data is the moat behind AI outbound Learn more at openmart.com

    21 min
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Fondo is an all-in-one accounting platform for startups. Get your books closed, taxes filed, and cash back from the IRS.

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  • Créateur
    Fondo
  • Années d’activité
    2025 - 2026
  • Épisodes
    62
  • Classement
    Tout public
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    © 2026 Fondo
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