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

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    🎧 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.
  2. 🎧 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

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

    30. APR.

    🎧 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

    12 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.