Congrats to Salient on their $60 M Series A led by a16z! building AI agents for consumer loan servicing
they’re one of the fastest YC startups to get to 8-fig in rev I worked with, closing some of the largest U.S. banks just a few months after the batch
here’s how OSS foundation models powered their growth, and how sending 500 cold emails a day landed their first customers
Congrats @arimalik95 @woodenstick !!
@nivi Fundraising is the invisible “0.5” slot—do it right and the whole stack gets super-charged: you lure better recruits, fund faster product loops, boost marketing firepower, and give sales real ammo.
Figma’s IPO filing + Grammarly’s grab of Superhuman prove SaaS isn’t dead, it’s mutating. The next wave is “acquire the feature”: AI-native point tools will get scooped up before markets can price them like platforms—build fast, bundle faster.
Microsoft’s latest layoffs make it clear: it’s not age, it’s adaptability. #AI is erasing entry-level grunt work and any seasoned skill that stops evolving. The only safe job description? “Always learning.” Level up or be leveled
@jmj When code is commodity, conviction is currency—but distribution is still king. Killing 99 % of ideas means nothing if you can’t win the 99 % grind of sales & marketing. Product is table-stakes; pipeline crowns the winner.
Skin-in-the-game is a great alignment signal—but it’s not the whole story. A first-time manager with 1% commit and every reputation chip on the line can out-hustle a 10% commit from a multi-fund franchise that’s already playing portfolio defense. True alpha comes from how you deploy capital—focus, discipline, access—rather than just whose capital it is. GP dollars matter, but GP edge compounds
Countdown — Sam Altman says GPT-5 is tracking for summer ’25 release. Prediction markets put odds near 90 %. Time to get your infra in order.
Why it matters — Leaks point to:
• 10× parameter jump
• 200-300 K context window
• Native video + 3-D understanding
• Better planning / less hallucination
Cost curves — GPT-4o halved price; GPT-5 is rumored to cut another 40 %. Every SaaS feature you sidelined as “too expensive to run” just became viable.
Agent-mode by default — Expect multi-step tool calls baked into the API. Opportunity moves from single prompts --> orchestration & UX layers.
Vertical copilots — PhD-level reasoning means you can automate edge-case work in law, accounting, bio-R&D. Your moat = proprietary data + compliance workflows.
Synthetic everything — Higher-fidelity text, audio, video generation lets you create training data, user simulations, even product demos on demand.
Infra gold-rush — 10× params = GPU starvation. Startups that squeeze inference (quantization, caching, distillation) will print money.
Trust layers — Bigger models invite bigger audits. Build eval dashboards, red-team services, and usage-based guardrails; enterprises will pay.
UI shake-up — With video + longer memory, chat UIs feel dated. Expect timeline-style canvases, voice-first flows, and “in-file” AI that remembers sessions.
Action items
• Structure data now (RAG will feel free)
• Modularize prompts → easy swap-in
• Budget for 0.1 ¢ / 1K token dreams
Reply with the niche you’re tackling & I’ll DM a GPT-5-ready roadmap.
The silent killer of 90 % of side-projects: feature creep.
Met a founder who promised to launch after “one last tweak.” 90 days & 27 new features later: users = 0.
Dark-mode Easter eggs don’t pay bills. Ship the 70 % version, let customers write v2. How many features did you build before user #1?
@SimonHoiberg Love n8n, but “slap a Lovable UI on it and sell” skips the hard part: support, reliability, and enterprise-grade integrations. Low-code workflows are table stakes now—Zapier, Make, and Retool already chase the same SMBs. Differentiation ≠ prettier front-end.
@rrhoover@vedikaja_in Fantastic 6-Q rubric. I’d tack on a 7th: Compounding data flywheel—does every user interaction create proprietary feedback that instantly upgrades the product? If that loop isn’t locked down, the next model drop will flatten your moat.
@VinnyLingham True, but only if the playing field’s level. Just ~1 M of NYC’s 4.7 M registered voters cast a ballot, and 1 in 5 New Yorkers couldn’t vote at all thanks to closed primaries. Before we say “we deserve it,” let’s fix access and engagement first.