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

    1D AGO

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

    2D AGO

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

    3D AGO

    🎧 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
  4. 🎧 START pod: Arvid Gollwitzer, Co-Founder, Anto Bio: “A Foundation Model for Microbial Communities”

    4D AGO

    🎧 START pod: Arvid Gollwitzer, Co-Founder, Anto Bio: “A Foundation Model for Microbial Communities”

    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 microbiomeAnto Bio’s model helped identify it 99% of the genes in your body aren't yours They belong to your microbiomeOver 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 sitting there Anto Bio's mission: make the gut microbiome computable for the first time They're building foundation models that help pharma design drugs that work for more people 🎙️ Arvid Gollwitzer, Co-Founder, Anto Bio on Fondo START pod 1:18 What Anto Bio is building and why it's novel 2:10 Why this didn't exist before 3:05 99% of your genes aren't yours 4:00 Why pharma ignoring the microbiome is a huge problem 5:04 The microbiome is modifiable 6:30 Modeling microbiome differences across populations 7:00 Drug approved in China, failed in the US, and how Anto found out why 8:02 How many drugs are affected by microbiome metabolism 10:00 GLP-1s and the gut microbiome connection 12:42 The biggest unsolved variable in drug development Learn more at www.anto.bio

    14 min
  5. 🎧 START pod: Matthew Ruiters, CTO & Co-Founder, HYBRD: "coaching agents for athletes"

    5D AGO

    🎧 START pod: Matthew Ruiters, CTO & Co-Founder, HYBRD: "coaching agents for athletes"

    Most people think they need more motivation to work out They need less friction But training plans assume your life stays static You travelIt 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 Built by ultramarathoners, Ironman finishers, and a founding engineer who won a 100-mile cycling race 🎙️ Matthew Ruiters, CTO & Co-Founder, HYBRD on Fondo START pod 02:01 Connecting every wearable into one training system 02:42 Using sports science to measure total training load 03:07 How former Whoop teammates started building HYBRD 03:50 Why “serious athlete” is really a mindset 04:49 The idea behind HYBRD Brain 05:18 Adapting workouts around travel, weather, and hotel gyms 06:13 The consistency insight from 895,000 athletes 10:44 Why athletes wanted adaptation, not just tracking 11:35 Why friction stops founders from staying healthy 14:03 How AI tools are changing software engineering learn more at www.hybrd.com

    18 min
  6. 🎧 START pod: Amit Yadav, Founder & CEO, Fern: “Real-Time AI Co-Pilot for Sales and Beyond.”

    MAY 8

    🎧 START pod: Amit Yadav, Founder & CEO, Fern: “Real-Time AI Co-Pilot for Sales and Beyond.”

    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 teams live during meetings. Not after the call.During it. The hard problem isn’t retrieval anymore. It’s judgment. Because the future of AI won’t be defined by smarter answers alone. It’ll be defined by systems that understand how humans actually communicate. 🎙️ Amit Yadav, CEO & Co-Founder of Fern, on Fondo START pod ‍ 01:24 “Imagine your sales rep hears a prospect question and answers appear instantly.” 01:55 The hardest AI problem: knowing the right time to help 02:09 “Our in-house model beats human judgment, ChatGPT, and Gemini.” 02:46 Building realtime AI systems for Ray-Ban Meta smart glasses 03:57 Fern’s desktop copilot listens and assists during meetings 04:34 The industry shift from prompted AI → proactive AI assistance 05:28 Replacing Slack searches, docs, and tabs during live calls 07:10 “The most exciting thing is AI helping you without asking for it.” 11:09 Why silence in human conversation doesn’t always mean interruption 14:15 The need for a realtime social-awareness layer between humans and LLMs ‍Check out getfern.ai

    17 min
  7. 🎧 START pod: Ruben Harris, CEO & Co-Founder, OutRival: “Outbound AI Agents for Education, Insurance, and Travel"

    MAY 7

    🎧 START pod: Ruben Harris, CEO & Co-Founder, OutRival: “Outbound AI Agents for Education, Insurance, and Travel"

    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 coldNot because they weren't interestedBecause nobody got back to them fast enough Outrival's AI agents respond in under a minute They call, text, email, and follow up One client made $10M in new revenue from leads they already had The best outbound AI isn't replacing humansIt's doing the work humans never had time to do 🎙️ Ruben Harris, Co-founder & CEO, Outrival on Fondo START pod‍ 01:12 Why Outrival focuses on outbound AI03:18 Building a 300-person call center05:27 Why speed-to-lead changes everything08:52 Aged leads as hidden revenue09:57 100,000 calls in an hour14:11 Turning one school’s leads into $10M revenue18:43 Enterprise sales advice for AI founders24:48 Pricing digital workers like employees27:56 From cello to Wall Street to Silicon Valley50:14 Building startups in the AI era Check out www.outrival.com "Turn every interaction into a long-term relationship"

    59 min
  8. 🎧 START pod: Jack Brown, Founder, Lark: “The E2E testing layer for AI-driven development.”

    MAY 6

    🎧 START pod: Jack Brown, Founder, Lark: “The E2E testing layer for AI-driven development.”

    The way to make software faster was always: make the code happen faster AI solved that  Cursor, Claude Code, Replit... Building is nearly instant nowSo 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. ValidationJack Brown is building Lark to solve exactly this.  An AI QA engineer that writes tests, keeps them updated, and continuously validates There's the building, and then there's the thing that lives on after the building Lark is focused on that second half‍🎙️ Jack Brown, Cofounder, Lark on Fondo START pod 00:15 Building an AI QA engineer01:56 AI dramatically increased development velocity02:15 The bottleneck becomes verification02:25 Cursor writes the code. Lark writes the tests.03:24 Acceptance criteria → automated validation04:15 Non-technical founders building software with AI05:35  Lark agents autonomously defining tests06:31 Everything is just validation07:56 Fully agentic software creation08:53 Why testing becomes more critical in AI-generated codebases Visit getlark.ai to learn more

    10 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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  • Creator
    Fondo
  • Years Active
    2025 - 2026
  • Episodes
    57
  • Rating
    Clean
  • Copyright
    © 2026 Fondo
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