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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.

  1. START pod: Samuel Mirpuri, Co-Founder, flowscope “Their agents learn your business. Then automate it.”

    2d ago

    START pod: Samuel Mirpuri, Co-Founder, flowscope “Their agents learn your business. Then automate it.”

    Flowscope’s agents can map an entire department in two weeks. Then they automate it. It’s an AI-native consulting firm where agents learn how a business actually runs - process by process - then automate the most manual work directly inside the company’s existing systems Not in quarters. In days. Samuel kept seeing the same pattern every time a consulting firm walked into a large organization: Great strategyBeautiful slidesMinimal implementation The recommendations were smart. The operational change rarely came. He also saw a second problem: Consulting fees were disconnected from outcomes. Clients paid upfront whether the recommendations worked or not. The incentives were broken by design So he and his co-founder Javier built the thing consulting always promised but rarely delivered: Implementation. The pitch to clients is simple: Grow your company with the headcount you already have. 🎙️ Samuel Mirpuri, Co-Founder, flowscope on Fondo START pod 00:57 Why traditional consulting stopped at recommendations instead of implementation02:33 The disconnect between consulting fees and measurable outcomes03:18 How Flowscope maps entire enterprise departments in two weeks04:24 Why AI should augment human judgment instead of replacing people05:30 From aeronautical engineering classmates to AI-native founders06:02 Sam Altman’s $2M OpenAI token offer to YC startups07:00 Why AI tokens may become a new startup currency layer07:29 Customer, Customers, Customers ‍ Check out www.flowscope.com

    9 min
  2. START pod: Michael Egan, CEO & Co-Founder, CodeCanary: “Find and fix bugs from session replays with AI”

    3d ago

    START pod: Michael Egan, CEO & Co-Founder, CodeCanary: “Find and fix bugs from session replays with AI”

    99% of session replays are your app working exactly as expected (hopefully) The other 1% is where the friction hides The 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 fix Always on. Always shipping. Not dashboardsNot alerts Actual fixes ‍ 🎙️ Michael Egan, CEO & Co-Founder, CodeCanary on Fondo START pod ‍ 00:57 AI agents connected to your product analytics and codebase 01:20 "You wake up to pull requests the next morning" 03:41 Pivoting from enterprise mapping software 04:42 Why nobody actually watches their session replays 05:02 Surfacing the 1% of user behavior that matters 05:47 Autonomous A/B testing tied directly to revenue 06:37 Why this solves problems engineers never had time for 07:30 "With every new user, your product gets a little better" 08:30 How to know when it's time to pivot ‍ Check out www.codecanary.ai ‍

    11 min
  3. START pod: Jeff Liu, CEO & Co-Founder, FinalDose "Programmable DNA drug destroying all cancers, unlocking 80% of targets"

    4d ago

    START pod: Jeff Liu, CEO & Co-Founder, FinalDose "Programmable DNA drug destroying all cancers, unlocking 80% of targets"

    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 different genetic instructions One chassis.Different disease targets. The broader bet: DNA is more deterministic than proteins, which could unlock therapeutic approaches traditional drugs struggle to reach Search.Destroy. "A programmable cell elimination platform." 🎙️ Jeff Liu, Cofounder & CEO of FinalDose on START 00:11 Why proteins may be the wrong layer for cancer treatment01:14 Using DNA mutations as programmable kill signatures03:20 Building a reusable therapeutic platform instead of one-off drugs05:00 Why hard biotech problems require interdisciplinary teams06:00 Getting into YC after a 4 a.m. interview in Japan08:00 Sam Altman’s $2M AI token offer — and why FinalDose passed10:08 How AI-native biotech is accelerating programmable medicine12:00 Why the future of medicine may look more like engineering13:05 The regulatory bottleneck for programmable therapeutics Learn more at finaldose.ai

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

    May 23

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

    May 21

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

    May 20

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

    May 19

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

    May 18

    🎧 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
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About

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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  • Creator
    Fondo
  • Years Active
    2025 - 2026
  • Episodes
    65
  • Rating
    Clean
  • Copyright
    © 2026 Fondo
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