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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. 1日前

    START: Chloe Sow, Co-Founder, Infera "The operating system for your laboratory”

    Scientific discovery shouldn't slow down because of software. But every instrument in the lab ships its own, and someone has to learn all of them. Researchers don't want to memorize instrument interfaces. They want experiments to run.They want answers.They want data. That's the problem Infera is solving. Chloe Sow knows that side of it. Mechanical engineering at Harvard, research at Brigham and Women's, building medical devices and running the experiments by hand. Her co-founder Troy Cheng spent an entire research summer figuring out how to run his lab's experiments on one machine. That was the summer. So they built the thing they needed. Describe an experiment in plain English.Infera turns it into a validated, instrument-ready run across the equipment your lab already uses. One system for protocol logic.Vendor-specific scripts.Laboratory data.Inventory.Institutional knowledge. Today, running an experiment means going instrument by instrument.Tomorrow, one place for all of them. AI agents already design experiments and protocols. But nothing connects those designs to real laboratory instruments. One system.From intent to execution.‍ Infera: "Control lab instruments with natural language" 🎙️ Chloe Sow, Co-Founder, Infera on Fondo START pod ‍ 00:45 Claude Code for scientific instruments01:27 Troy's entire job was one liquid handler02:39 Every run captures a record. The missing layer between AI and instruments03:12 Scientists pressing buttons without knowing the machine04:22 Plain English to validated instrument-ready run. Academic labs and cores first05:50 Every instrument ships its own closed software06:02 Meeting at a virtual Caltech admit session07:19 Applied to YC for feedback. Got in first try08:35 Staying disciplined instead of chasing the SF event circuit ‍ Check out infera.bio

    START: Chloe Sow, Co-Founder, Infera "The operating system for your laboratory”

  2. 4日前

    START Nasrat Khalid - Founder & CEO, Aseel “Connecting artisans to global markets and enabling transparent aid”

    You can track a burrito from the restaurant to your door in real time You donate to a family in a crisis zone. Usually you get a thank-you email. That's where it ends. Nasrat Khalid couldn't understand why. We expect complete visibility when we order dinner.Why not when we're helping another human being? So he built Aseel. A platform for "everything do good" You buy a food package. You see exactly who receives it. You can ask for a photo of the delivery.You can exchange messages with the recipients, if they choose to participate. Instead of donating into a system and hoping, you know the aid reached the person who needed it. That's the whole idea. No plane ticket. No project. No abstraction. "Award-winning US-based platform connecting artisans to global markets and enabling transparent aid" ‍ 🎙️ Nasrat Khalid, Founder & CEO, Aseel on Fondo START ‍ 00:45  The platform for everything do good02:25  The first 16 years, as a refugee02:55  Why he left institutional aid to build Aseel03:40  Leaving Afghanistan at 16 days old04:05  No ID means no school, no bank account04:35  Why identity comes before food05:15  Seven years inside the World Bank05:58  What happened to aid in Afghanistan after 202107:00  AidOS, for institutions07:40  The Uber Eats insight08:20  The $30 package you can trace to a family09:35  Why he joined the residency12:30  How to get started ‍ Check out aseelapp.com

    START Nasrat Khalid - Founder & CEO, Aseel “Connecting artisans to global markets and enabling transparent aid”

  3. 7月28日

    START Sherwood Callaway, Founder & CEO, Sazabi “Observability On Autopilot”

    AI changed how software gets built. The tools we use after we ship haven't caught up. Code is getting cheaper. Production is getting harder. That's the gap Sherwood Callaway saw after building with Cursor and Claude Code. AI had transformed how software gets built, but when something broke in production, he was back clicking through observability tools that hadn't kept pace. Sazabi is built for AI-native engineering teams. → Autonomous alerts with root-cause context→ Conversational debugging instead of endless dashboards→ AI that learns your codebase, architecture, and past incidents AI is making it easier than ever to build software. Sazabi makes it just as easy to understand what's happening in production—helping engineering teams detect issues earlier, identify the root cause faster, and get back to shipping. Observability is becoming one of the most important layers of the AI software stack. ‍ 🎙️ Sherwood Callaway, Founder & CEO, Sazabi on Fondo START pod ‍ 01:08 — Building AI-native observability for fast-moving engineering teams01:45 — Why AI made observability a much bigger problem02:07 — "Code is basically free"02:36 — Why architecture and product thinking are the new bottlenecks03:09 — "Measure twice, cut once" — how Sazabi stays focused03:35 — History major to Dev Bootcamp: turning down investment banking05:50 — Joining Brex at employee 70 through hypergrowth to $12B07:10 — Starting Brex's observability team — the seed of Sazabi07:48 — What observability actually is (it started with 1960s rocket science)09:45 — "I will leave Brex today" — the Dalton Caldwell moment12:16 — Building one of the first production AI agents at 11x13:33 — The Cursor vs. Datadog contrast that sparked Sazabi ‍ Check out www.sazabi.com

    START Sherwood Callaway, Founder & CEO, Sazabi “Observability On Autopilot”

  4. 7月24日

    START: Cyrus Kelly, Co-Founder & CEO, tday.com “AI that turns your product into on-brand marketing content”

    Your product didn't fail.No one saw it. The best product often losesNot because it's worseBecause no one saw it Teams ship daily Marketing got faster too It just never stopped needing you Open the recorder.Fumble the demo.Redo it fifteen times. EditDesignPost Your flow is gone. So next time you don't bother That's how good products disappear Cyrus Kelly and co-founder David McDonough were involved in 11 startups. Every time, they became the marketing team Never once enjoyed it So they built tday Connect your GitHub repo Or point it at your product Every release becomes a demo video of the actual feature. On-brand graphics Published to your channels Ship an update and the demo updates itself Because it's tied to what your product does Not a one-time recording. Not three hours in tday instead of four hours in Canva. Minutes. Then never thinking about it again (unless you want to) The problem was never building It was that no one saw it Their mission is to make it so the best products do win. ‍ 🎙️ Cyrus Kelly, Co-Founder & CEO, Tday on Fondo START pod ‍ 00:20 — What tday does: marketing on autopilot for software companies00:50 — Origin story: three engineers, 11 startups, always stuck doing marketing01:35 — Why the best product doesn't always win01:50 — Starting university at 1302:15 — Building a student club platform with banking at 1603:05 — The tech stack behind it03:50 — Applying to YC four times04:05 — Interviewing with Tom Blomfield04:55 — How the product changed during the batch05:35 — Not a better design tool: two minutes instead of hours06:00 — Why repeated launches matter06:30 — The idea of a product that records itself06:50 — Who tday works best for07:45 — Getting the domain08:00 — What tday.com actually cost08:45 — Eight months of waiting, and how the domain shaped the product10:00 — Sam Altman offering $2 million in tokens11:15 — Token maxing: agents running in parallel12:20 — Where to find tday and Cyrus ‍ Check out tday.com

    START: Cyrus Kelly, Co-Founder & CEO, tday.com “AI that turns your product into on-brand marketing content”

  5. 7月23日

    START: Tarini Sai Padmanabhuni, Founder & CEO, DetectifAI “Real-time deepfake voice detection”

    A phone call used to mean trust. Now it could be AI. DetectifAI is building the next layer of cybersecurity for the AI era Not another chatbot Not another AI wrapper Foundational models built to detect audio deepfakes It started with something personal. Tarini's grandfather lost thousands of dollars to a simple deepfake. That moment became the reason to build. Tarini had already been in machine learning since grade six Nearly a decade studying how AI works She saw where the technology was headed - and what was missing Fraud has existed for a very long time Cybersecurity has existed for a very long time Deepfake detection is that same discipline extended into the AI world. Today, DetectifAI serves clients across banking, finance, security, telecoms, and OEMs An API that integrates into existing enterprise infrastructure And on mobile, it goes even deeper - into the OEM layer itself. Which makes the vision tangible. You answer a call. Your phone gives you a rolling update on whether that voice is likely AI or a real human Detection during the call. Not after the money is gone. The scale comes from where it's deployed. A single OEM integration can unlock protection for millions of people. And deepfake detection is only the first step. The larger vision is an anti-fraud landscape that helps people navigate scam calls, robocalls, and anything that falls under the purview of fraud. The next generation of AI companies won't just build intelligence They'll build trust 🎙️ Tarini Padmanabhuni, CEO, DetectifAI on Fondo START pod 00:57 Founder origin story01:18 ML background01:42 Audio deepfake detection01:53 Enterprise customers02:15 Growing AI fraud02:39 AI cybersecurity03:16 Enterprise integration03:29 Telecom and OEM strategy03:46 OEM distribution vision04:13 Real-time call detection04:33 Broader anti-fraud vision04:58 AWS grant journey05:31 Building in San Francisco05:52 Residency experience06:15 Advice for founders Check out detectif.ai

    START: Tarini Sai Padmanabhuni, Founder & CEO, DetectifAI “Real-time deepfake voice detection”

  6. 7月21日

    START: Dawson Chen, CEO & Founder, Letterbook "AI-native customer support platform"

    100,000 users sounds like a dream Until you're personally answering 50+ support tickets a day... That was Dawson Chen. He'd scaled Martin, an AI personal assistant, to more than 100,000 users, but growth came with a new problem:  Refund requests Subscription cancellations Login issues And the same support questions over and over again... To keep up, the team hired a virtual assistant and relied on tools like Zendesk and Freshdesk.  But every ticket meant jumping between their inbox, Stripe, their database, and their knowledge base.  The software wasn't built for how startups actually operate. So instead of accepting it, they built the tool they wished they'd had. Then shared it with a few founder friends. The response was immediate. That internal tool became Letterbook. Today, Letterbook is the AI-native alternative to Zendesk, Freshdesk, Zoho Desk, and Intercom - built specifically for startups. It connects to your inbox, Stripe, database, and knowledge base, then drafts a complete resolution for every support ticket: the reply, the refund, the cancellation, the next action. For many customers, 70–80% of tickets become a single approval instead of minutes of manual work. Their Product Hunt launch reached #3 Product of the Day. Most customer support platforms were built for enterprise support teams. Letterbook was built for founders. "The modern AI-native support platform" 🎙️ Dawson Chen, CEO & Founder, Letterbook on Fondo START pod ‍ 00:32 — From a 100,000-user AI app to discovering a support bottleneck 01:08 — Turning an internal tool into Letterbook 02:09 — Why AI-native support beats legacy help desks 02:47 — How context-aware AI drafts actions, not just replies 03:23 — Automating 70–80% of repetitive support work 04:20 — Why Letterbook is purpose-built for B2C startups 04:55 — Two YC founders, two co-founder breakups, one new company 06:42 — Building the default customer support platform for startups 08:08 — Lessons from launching to #3 on Product Hunt ‍ Check out www.letterbook.ai

    START: Dawson Chen, CEO & Founder, Letterbook "AI-native customer support platform"

  7. 7月17日

    START: Emma Lawler, Product Lead, Rippling "Rippling Automated Compliance"

    As a founder, Emma Lawler felt like SOC 2 was a major distraction from building. But when she started selling to enterprise logos, it became something that was impossible to ignore. Now, as Product Lead at Rippling, she channeled her first-hand experience of getting SOC 2 compliant to rethink how all automated compliance frameworks are run.  It started with a retro.  Every other SOC 2 vendor works the same way:  Detect a problemAlert your teamFix it...somewhere else The problem with this checklist is that "somewhere else" requires dozens of additional integrations. Because these vendors are just reporting layers on top of your stack. Rippling is your stack.  Which means most of your compliance evidence is collected before you start AND when there's a gap in compliance, Rippling fixes it. Unencrypted device --> encrypt it. Wrong app access --> de-provision automatically Incomplete security training --> gate system access until its done.  Because compliance really isn't about the report. It's about operating your company securely -- and proving it without a yearly fire drill.  Emma shares more about how her own founder journey influenced building Rippling's powerful new automated compliance product, available today for SOC 2 Type 1 and 2.  🎙️ Emma Lawler, Product Lead, Rippling on Fondo START pod ‍ 00:57 Introducing Rippling Automated Compliance02:07 The evolution of compliance software03:02 AI's role in compliance workflows03:41 Understanding SOC 2 requirements04:20 Compliance and enterprise procurement05:03 Building secure operating practices05:46 Product development at Rippling06:28 Building with a lean team07:15 Lessons from founding startups08:55 Learning through product pivots11:01 AI in modern product development12:41 Planning and research with AI16:05 Defining product-market fit17:56 Using first-party data for compliance21:35 Advice for early-stage founders ‍ Check out www.rippling.com/products/it/automated-compliance

    START: Emma Lawler, Product Lead, Rippling "Rippling Automated Compliance"

  8. 7月15日

    START: Agaaz Singhal, Founder & CEO, Tranzmit AI "Self-improving AI paywalls"

    96% of users aren't saying no to your product.They're saying no to your paywall. And the only tool most teams have for that is manual A/B tests. Thousands of dollars per experiment. Weeks to trust one result. One variable at a time. Every test starts from zero. Stop guessing. Start compounding. Tranzmit AI builds, tests, and evolves paywalls instead. Analyze the behavioral data, generate variants, score them against simulation and conversion history, ship the winner with guardrails and auto-rollback. 50x faster than manual A/B. 25M paywall views a month feeding the loop. Every result sharpens the next one. Four months ago, Agaaz Singhal was pointing the same engine at the opposite end of the funnel. We recorded this episode in March, when Tranzmit sat on top of the cancel button: Detected at-risk customers before they cancelledIntervened with personalized conversationsIdentified the root cause of frustrationFiled live Jira tickets for engineeringRecovered customers who were ready to leave Five lines of code. Three-minute setup.Not just to stop churn. To understand it. Read the behavioral data, generate the intervention, measure it, loop.Same engine. The screen changed. In the episode Agaaz describes product teams flying blind for weeks, stitching together analytics dashboards while customers walked. Behavioral data, an intervention at the moment that decides revenue, measured and fed back. Same loop, pointed at the front door. Running 24/7. "Building self-improving software infrastructure" 🎙️ Agaaz Singhal, Founder, Tranzmit AI on Fondo START pod 00:26 Building AI product teams to reduce churn on consumer platforms00:42 AI-native cancel buttons that understand why customers leave01:11 Five lines of code. Three-minute implementation.01:25 Predicting churn before users hit cancel02:05 Recovering up to 28% of customers at the point of cancellation02:35 Why product teams spend weeks trying to understand churn03:20 Scaling a consumer platform to 700K monthly active users03:35 The insight that led to building Tranzmit AI03:50 Building in San Francisco at Founders Inc Check out tranzmitai.com

    START: Agaaz Singhal, Founder & CEO, Tranzmit AI "Self-improving AI paywalls"
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關於

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

資料

  • 創作者
    Fondo
  • 活躍年份
    2025年 - 2026年
  • 單集
    98
  • 分級
    兒童適宜
  • 版權
    © 2026 Fondo
  • 節目網站
    START

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