START

Fondo

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

  1. 2 days ago

    START: Varun Agarwal, Founder, Envariant "Interpretability and reasoning infra for foundation models."

    Fine-tune a frontier LLM on addition and it handles one through five digits without breaking a sweat. Six digits, a friend of Varun's found performance collapsing to zero. The model had learned addition up to the length it saw in training and nothing underneath it, no rule it could extend. Varun calls it a fatal flaw, one he expects to surface in deep tech and safety-critical applications, and rather than argue about it he'd rather hand builders a way to look inside and check. You hand Envariant 50 examples where your model tells the truth and 50 where it hallucinates. It finds the surface inside the model where the difference lives, and from there you can amplify that behavior, suppress it, or trace what caused it. The same approach pulls out the principles a model has learned in a form a human can actually read, and generates the edge cases most likely to break them. Which is the part that traces straight back to biology. Varun was building foundation models to design synthetic viral genomes: DNA in, DNA out, and no way to tell what the thing had worked out about virology along the way. Figuring out how to read that back out became the company. ‍ 🎙️ Varun Agarwal, Founder, Envariant on Fondo START 02:02 An interpretability SDK for foundation model builders02:34 Finding the right surface inside the model02:47 Detecting hallucinations by finding internal model representations04:00 Why scale and compute still dominate but are hitting walls04:42 The 6-digit addition collapse and what it means for AI reasoning06:02 Closing the gap from 95% demo to 99.99% production07:37 From designing synthetic viral genomes to founding Envariant08:15 thoughts on AGI Check out envariant.ai

    START: Varun Agarwal, Founder, Envariant "Interpretability and reasoning infra for foundation models."
  2. 2 days ago

    START: Abhinav Gopal & Darren Hsu , Co-Founders, Rubbrband "AI creative company"

    Hollywood-grade storytelling, startup-speed execution. Most AI ads feel disposable. Rubbrband is betting the future looks cinematic instead. Jeremy Lee, Abhinav Gopal, and Darren Hsu: 3 CS researchers out of Berkeley who loved film built video models for Hollywood. They got good enough at cinematic content that they now do it for some of the world's top brands, and they do it without the hundreds of thousands of dollars companies have been handing traditional ad studios. Discovery call, creative brief, script, production. Start to finish in weeks, not months. With real narrative and real pacing, the kind of thing that's actually worth watching. Everyone's figured out by now that cheap AI content makes taste worth more. The brands that win won't explain their product; they'll make you feel something. Smaller teams, faster launches, higher production value than traditional headcount & budget should allow for. That's the shift rubbrband is building for. 🎙️ Abhinav Gopal & Darren Hsu, Co-Founders, Rubbrband on Fondo START pod 00:45 What Rubbrband does01:53 From Berkeley engineers to building AI models for Hollywood02:30 The creative process behind every launch campaign03:14 Hollywood-quality production for startups at a fraction of the cost03:35 Why they're determined to avoid AI slop04:17 Why AI video adoption is still in the early innings04:55 Hollywood's growing adoption of AI05:20 Where to find Rubbrband ‍ Check out www.rubbrband.com

    START: Abhinav Gopal & Darren Hsu , Co-Founders, Rubbrband "AI creative company"
  3. 5 days ago

    START: Neal Patel, Founder, Producer, Comedian, Artificially Unintelligent Tech Comedy: “Tech stand up comedy shows”

    You can't do a joke about the Jira board at a normal comedy club. The audience won't know what the Jira board is, and explaining it kills the laugh before you get to it. Neal Patel wanted to do that set anyway.  For years he worked two jobs, software engineer during the day and stand-up three or four nights a week in New York clubs at night.  Plenty of the comedians he ran into were also in tech. Backstage they'd trade jokes about tech, about Jira, and all the little things that only people in the industry found funny, and none of it really worked once they stepped in front of a normal comedy audience. So in 2024 he built the room that didn't exist yet. Artificially Unintelligent puts engineers, PMs, founders, CEOs, and VCs who happen to be experienced comedians on the same bill as comics you've seen on Netflix, Hulu, HBO, NPR, Comedy Central, and in The New York Times. Hundreds and hundreds of people signed up for the first one. Ask him how the audience got that big that fast and he'll tell you he hates the question, because the honest answer is that he doesn't know. What he does know: put on a really good event with really cool people, invest heavily in design and branding so nobody files it under "another open mic," and never spend a single dollar on advertising or marketing. The rooms fill with founders, senior operators, cracked engineers, heads of finance, and operators from across the startup ecosystem. Open bar, themed drinks, designed end to end. Keeping the shows free is part of the philosophy, and sponsors are what make that possible. Neal would rather take one sponsor check than twenty bucks each from 200 people.  Which gets at why he thinks the first open mic isn't the hard one. You go up convinced you're the funniest person alive, nobody laughs, and that's survivable. The second one is where it gets decided, because that's when you have to choose whether you're doing it again. He kept choosing it. Artificially Unintelligent now runs regularly in New York with shows in San Francisco, and Neal wants to spend more time in Los Angeles and Chicago too. 🎙️ Neal Patel, Founder, Producer, Comedian, Artificially Unintelligent Tech Comedy / notsodailystandup.com on Fondo START ‍ 1:25 Doing stand-up for years, and engineering for even longer 1:53 Meeting other comedians who also worked in tech 2:09 Wanting to tell jokes straight off the Jira board 2:17 Launching the first Artificially Unintelligent show in 2024 2:21 Hundreds and hundreds of people signed up for the first show 3:24 Never spending a single dime on advertising or marketing 4:37 Why he'd rather take one sponsor check than twenty bucks from 200 different people 6:12 Why the first open mic is easy -and the second is the hardest 7:56 Using an AI transcriber to capture joke ideas in real time 8:37 Why Artificially Unintelligent doesn't have a newsletter‍ Check out notsodailystandup.com

    START: Neal Patel, Founder, Producer, Comedian, Artificially Unintelligent Tech Comedy: “Tech stand up comedy shows”
  4. 14 Aug

    START: Saksham Aggarwal, CEO & Founder, Cardboard "Agentic video editor"

    Creating video is getting easier. Finishing it isn't. AI writes code and you still review it before it ships. AI makes clips now, and someone still has to assemble them into something you'd actually publish. That's the layer cofounders Saksham and Ishan are building at Cardboard. Two engineers who met in school and taught themselves filmmaking in Bangalore by studying Apple's launch films. Saksham describes Cardboard simply: it's Cursor for video editing. There's no good VS Code for video, so they're building one. You throw your clips in and give it a goal, and it hands back a first cut in minutes. Brief it the way you'd brief a junior editor. Video isn't one problem, which is what makes the editor core hard. Screen recordings need different ML pipelines than talking heads or sports footage, so a routing model decides where each query goes. They don't want to be an AI feature inside the existing editor. They want to build the editor itself. ‍🎙️ Saksham Aggarwal, CEO & Founder, Cardboard on Fondo START  ‍ 00:45 The Cursor comparison, and why editing is the product 01:10 Learning filmmaking by studying and recreating Apple's launch films in Bangalore 02:30 The YC launch that reached roughly half a million views 03:15 What WebGPU and multimodal models unlocked 04:40 Why they want to own the whole editor instead of plugging into Final Cut 05:10 AI-generated clips are a new camera—and they still need editing 05:50 Why video is one of AI's hardest multimodal problems 07:00 Briefing Cardboard like a junior editor 07:40 Why they stopped selling launch videos to focus on product ‍ Check out www.usecardboard.com

    START: Saksham Aggarwal, CEO & Founder, Cardboard "Agentic video editor"
  5. 11 Aug

    START: Jayram Palamadai, Founder & CEO, Byteport: “Transfer data on any network 10x faster”

    30 petabytes of collider data. That was Jayram Palamadai's job at CERN, where he worked as a distributed computing engineer getting collider data out to physicists. At that scale you stop thinking about files and start questioning the protocol underneath them, so he designed a different architecture. That became Byteport. It's built on DART, a proprietary transport protocol developed by engineers out of CERN. TCP cuts its congestion window the moment it detects packet loss and then recovers slowly; DART holds near-constant throughput instead, roughly 98 Mbps on a 100 Mbps connection whatever the latency, jitter, or loss. In the field, Byteport has hit speeds up to 1,500× faster than TCP. It runs wherever critical infrastructure runs: on-premises, air-gapped, hybrid, cloud. And in those places a failed transfer isn't a file that shows up late. It's a training run stalled at the data-loading step, a satellite pass that comes and goes, a drone flying without the map it was supposed to have. Byteport runs in all of them. It holds up in intermittent connectivity, high latency, and contested RF. DART runs mission-critical networks spanning land, air, sea, and space. ‍🎙️ Jay Palamadai, Founder, Byteport on Fondo START ‍ 00:59  Byteport's faster file transfers01:13 Moving 30 PB at CERN01:24 Rethinking internet architecture01:57 Launch day reflections02:50 Driving to YC office hours03:17 Getting into YC03:45 The YC interview04:35 What's next for Byteport ‍ Check out byteport.com

    START: Jayram Palamadai, Founder & CEO, Byteport: “Transfer data on any network 10x faster”
  6. 10 Aug

    START: Gaurav Maken, Community Partner, Pioneer Fund "500+ Y Combinator alumni investing in top Y Combinator startups"

    Pioneer Fund met Gaurav Maken at Y Combinator Demo Day, and today he works there as Community Partner. What stayed with him was the way the meeting ran. The people across the table were curious rather than performing, and they wanted to understand what he was building. That's carried into how Pioneer operates now. The team preps hard for every 30-minute founder meeting, several founder-investors join each call, and they'll tell a founder what they like and what they don't, because they've sat on the other side of that table and know how it feels to leave an investor meeting with "nothing". Then they hand the evaluation back. Pioneer sends a post-meeting survey asking founders how the conversation went. Many of them say Pioneer Fund understood their business better than anyone else they met while fundraising, despite some of those founders still getting a "no". Today Pioneer is backed by more than 500 Y Combinator alumni serving as Venture Partners, with 730 portfolio companies and 1,500+ portfolio founders behind it: a network of founders who stay involved long after the investment. It's still growing. VP spots mostly come through referral. And if you don't have one, reach out to Gaurav ‍ 🎙️ Gaurav Maken, Community Partner, Pioneer Fund on Fondo START pod ‍ 01:47 — How PG's essays led him to YC02:04 — Instacart in 2015, then a grocery startup02:22 — What the 2020 shutdown taught him02:52 — Starting a mental performance clinic for founders03:10 — The Demo Day meeting 03:26 — 500+ venture partners, 1,500+ backed founders04:50 — The prep behind every 30-minute founder call05:59 — The survey Pioneer sends after every meeting06:47 — Expert hours08:13 — How Jason built a system for investors09:36 — What it takes to become a Pioneer Fund VP ‍ Check out www.pioneerfund.vc

    START: Gaurav Maken, Community Partner, Pioneer Fund "500+ Y Combinator alumni investing in top Y Combinator startups"
  7. 7 Aug

    START: Aram Shatakhtsyan, Founder & CEO, Modelence "Build production-ready apps with AI"

    Every startup can build a demo. Then comes everything else: authentication, databases, hosting, monitoring, email, analytics, real-time infrastructure. None of it makes the demo, and every team rebuilds it anyway. Aram Shatakhtsyan spent nearly a decade scaling a startup and kept hitting the same thing. Too much engineering went into infrastructure that looked nearly identical from one product to the next. Modelence is a production-ready framework and cloud platform for the era of AI-generated software, where developers spend their time on product logic instead of rebuilding the same foundation. Generate a full-stack app from a prompt. Auth, database, and production deploys wired in from day one. Inspect, edit, and own the code. Deploy it to Modelence Cloud with production infrastructure, monitoring, scaling, and a custom domain, without assembling a stack of separate services. Prototypes are easy. Production isn't. We filmed this episode with Aram on January 23. Since then, the AI App Builder hit #2 Product of the Day on Product Hunt, and their new Mobile Builder launched in July. "Build production-ready apps with AI" ‍ 🎙️ Aram Shatakhtsyan, Co-Founder & CEO, Modelence on Fondo START pod ‍00:57 — The scaling challenges that inspired Modelence 01:22 — Why every startup keeps rebuilding the same infrastructure 02:01 — Why TypeScript became the foundation for AI-native development 03:06 — Building the TypeScript equivalent of Ruby on Rails 03:45 — Why infrastructure matters more than another AI app builder 04:18 — The difference between prototyping and production software 05:14 — Why today's frameworks weren't designed for AI coding agents 06:03 — Designing AI systems with guardrails instead of prompts 07:16 — The vision for production-ready AI applications 08:07 — What Aram hopes developers build with Modelence next ‍ Check out modelence.com

    START: Aram Shatakhtsyan, Founder & CEO, Modelence "Build production-ready apps with AI"
  8. 6 Aug

    START: Charu Sharma & Michael Mernagh, Co-founders, Fenrock AI: “The First AI Workspace for Banking Back Office”

    99% of U.S. banks aren't JPMorgan.All of them are regulated like it. The bottleneck isn't serving customers.It's everything that happens after. Loans.Compliance.Fraud investigations.Customer operations. The work keeps growing.Headcount doesn't. JPMorgan has tens of thousands of analysts.A community bank has a handful. That's the gap Fenrock AI is closing. Fenrock is building the first AI workspace for the banking back office. Built alongside U.S. bank CEOs.Designed for banks.One workspace for all of it. AI gathers the information.Organizes the evidence.Drafts the analysis.Prepares the report. The analyst reviews.The analyst decides. No rip-and-replace.No data migration. Just an AI workspace embedded into existing workflows. Every action is documented with bullet-proof audit logs.Built-in regulatory guidance.Reporting designed for examiners and boards. An analyst clears about 10 alerts a day.Fenrock is built for 20x that. Not by replacing people.By giving them capacity they've never had. Banks process more.Pass their exams.Improve efficiency ratios.And keep serving the communities that depend on them. 🎙️ Charu Sharma & Michael Mernagh, Co-Founders, Fenrock AI on Fondo START pod 01:16 — Fenrock AI's vision: AI agents for the banking back office 01:57 — Customer discovery leads from financial crime to banking compliance  02:33 — Why small and midsize banks became the focus  03:02 — Charu's early life and the experience that shaped her resilience  03:52 — Building multiple startups before founding Fenrock  04:18 — Michael's background building privacy-preserving machine learning at Apple  05:07 — Finding the right co-founder and choosing a long-term mission  06:03 — Pivoting the company and using YC to accelerate execution  07:37 — How YC raised the team's ambition and execution speed  08:36 — Building the first AI workspace for the banking back office  09:17 — Helping small banks meet regulatory expectations with AI  10:24 — Human-in-the-loop workflows, audit trails, and early customer impact Check out fenrock.ai

    START: Charu Sharma & Michael Mernagh, Co-founders, Fenrock AI: “The First AI Workspace for Banking Back Office”

About

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

You Might Also Like