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

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    🎧 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

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

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    🎧 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"

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

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    🎧 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

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  4. 🎧 START pod: Natalie Aresta-Katz, Cofounder & CEO, Regbase: “Tracking global laws, grants and consultations”

    ٣٠ أبريل

    🎧 START pod: Natalie Aresta-Katz, Cofounder & CEO, Regbase: “Tracking global laws, grants and consultations”

    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 laws in 45 countries that didn’t publish in English. They hired lawyers in every single country. Tried probably 15 tools on the market. Ran manual searches. Nothing worked well. Now she's building the tool she wished she had. One workflow went from up to 13 paralegals and around 120 hours a month to one user and about an hour and a half. ‍ 🎙️ Natalie Aresta-Katz, CEO & Founder of Regbase, on Fondo START pod (full ep in comments) ‍ 00:20 “Regbase was really born out of a place of necessity.” 01:32 Tracking new and proposed laws across 45 countries 02:00 Why existing tools failed 02:43 The “Wizard of Oz” backroom behind regulatory databases 03:26 Why long-tail legal data is getting harder to find 04:23 Dropping into YC after Andrew said, “an MBA isn’t really school” 05:37 Finding unspent state-level funding for school safety upgrades 07:05 From 120 hours to about 1.5 hours 07:38 How Regbase uses LLMs, specialty search, and link-following 08:33 Why legal work may shift from hourly billing to output 09:38 Searching laws in languages teams don’t speak 10:27 Why Regbase unlocks more opportunity for law firms 11:00 Who should book a demo: government vendors, corporate lawyers, AI law trackers, employment lawyers, and teams tracking high-volume regulatory change visit regbase.com to learn more

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  5. 🎧 START pod: Adil Mania, Founder & Host, Silicon Mania: “Make Tech Fun Again”

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    🎧 START pod: Adil Mania, Founder & Host, Silicon Mania: “Make Tech Fun Again”

    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, Founder, Silicon Mania, on Fondo START pod 01:48 — Moved from Paris to San Francisco two months before the recording 02:47 — Built a startup media company in France, then stopped when it became "boring" 04:00 — Silicon Mania began as a new, "bigger, better, bolder" media idea 05:23 — His philosophy: treat life like an experiment; iterate instead of chasing final wins 11:00 — The recap format started as an iteration on old YouTube-style yearly recaps 11:38 — First recap went from ~2K views to 50K overnight, then kept climbing 12:40 — Weekly recaps validated the format with roughly 250K+ impressions 13:40 — His thesis on media: people don't need automated slop; people need trust 16:14 — Expanding the format into a newsletter with frame-by-frame context 17:00 — Bringing back the monthly format in print through Silicon Mania magazine 18:16 — The night show is his favorite product: live, interactive, and built around the human side of founders 19:54 — His ambition: make tech media mainstream enough that "my mom" can enjoy it 23:03 — The long-term vision: build the "NBC for tech"

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  6. 🎧 START pod: Liam Karlsson & William Gyltman, Co-Founders of Rankad.ai "Turn AI visibility into revenue. On autopilot."

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    🎧 START pod: Liam Karlsson & William Gyltman, Co-Founders of Rankad.ai "Turn AI visibility into revenue. On autopilot."

    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, and Copilot.  Enter your domain, 30 seconds later you're in the app. AI agent optimizes your site directly Liam Karlsson & William Gyltman, Co-Founders, Rankad.ai at The Residency Demo Day  🎙️ Fondo START pod w/ David J. Phillips (full ep in comments) 00:25 “We’re helping companies earn more money in AI search” 02:34 AI search is moving fast: new models, algorithms, protocols 03:05 A new source of income beyond Google traffic 03:31 AI search is growing fast, but has not outrun Google yet 05:34 Enter your domain and get inside the app in about 30 seconds 05:52 Visibility, competitor, and company data inside one platform 06:07 AI gives optimization tasks based on scan data 06:15 The agent executes tasks on your site 09:41 SEO rankings held, but traffic still disappeared 09:47 Liam’s mom used ChatGPT to buy running shoes 10:00 “That was like the seed of Rankad”

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  7. 🎧 START pod: Matthew Chen, Founder & CEO, Laurence "Autonomous performance marketing"

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    🎧 START pod: Matthew Chen, Founder & CEO, Laurence "Autonomous performance marketing"

    Amazon sellers do not have a data problem. They have a decision problem. They already have the clicksThe conversionsThe impressionsThe 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 continuous decision-making under profit constraints.Using existing ad copy, reinforcement learning, and custom models to run ads on autopilot. When confidence is high, it actsWhen data is sparse, it borrows signal from similar keywords The result: about 40% better performance for customers. Amazon is the wedge.Autonomous performance marketing is the bigger vision. 🎧 START pod: Matthew Chen, Founder & CEO, Laurence "Autonomous performance marketing" 00:23 What Laurence does02:12 How the company found the wedge02:47 The customer quote that changed the company03:15 The flaw in the standard Amazon ad model05:25 The move from Amazon to the wider internet06:12 How Laurence uses transformers today

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  8. 🎧 START pod: Milind Sagaram, Co-Founder & CEO, Articulate "Speeding Up Construction with AI"

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    🎧 START pod: Milind Sagaram, Co-Founder & CEO, Articulate "Speeding Up Construction with AI"

    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 starts AI reads the PDFs. Finds clashes across architectural, structural, and MEP sheets. Generates draft issue reports automatically The surprise: construction teams aren't resistant. They want it more than anyone expected 🎙️ Milind Sagaram, Co-Founder & CEO, Articulate / Helonic.com on Fondo START pod  00:18 AI for finding drawing issues before construction starts02:24 The old workflow: manual plan review02:45 The consequence: rework and delays03:00 Small issues, massive downstream cost03:27 Copilot, not replacement04:04 Why AI belongs in construction04:39 What surprised him about selling into the industry05:59 Who Articulate sells to

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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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