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stan

T1 · high-signal investor

Stan joined Stripe early and spent five years there, then joined OpenAI for three years working on large language models and math research. He left OpenAI to return to product building and founded Dust, a model-agnostic AI platform for the workplace. He emphasizes reasonable fundraising valuations, credit-based pricing, and building in France despite friction.

4 calls·3 names·75% bull·last heard 2 months ago·Y Combinator
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$DUSTDust

Dust bets on model-agnostic horizontal platform with credit-based pricing for AI workplace

Dust differentiates by being model-agnostic — allowing users to bring any LLM — and focuses on collaborative multiplayer AI workflows, avoiding the lock-in of lab-owned products while adopting usage-based pricing to sustain margins.

Y Combinator2026-07episode →
2ndmedium conviction
$MISTRALMistral AI

Stan praises Mistral's execution and $12B valuation as impressive

Mistral has executed exceptionally well, with CEO Arthur Mensch growing rapidly into his role, and their aggressive strategy justifies the $12B valuation.

Y Combinator2026-07episode →
3rdlow conviction
$ANTHROPICAnthropic

Stan notes VCs prefer concentrating capital in Anthropic over diversifying across startups

Venture capitalists are rationally deploying large checks into frontier labs like Anthropic because of quick markup potential, which absorbs oxygen from the broader early-stage funding market.

Y Combinator2026-07episode →

most discussed · click a bar to filter

  • $MISTRAL
  • $DUST
  • $ANTHROPIC

recurring themes

  • AI Applications3
  • AI Economics & Business Models2
  • Open Source AI2
  • AI Agents1
  • Venture Capital1
4 total
$DUST
Dust
HIGHstan·Y Combinator·2 months ago·The Model-Agnostic AI Platform Betting That No Single Lab Will Win
Dust bets on model-agnostic horizontal platform with credit-based pricing for AI workplace
Dust differentiates by being model-agnostic — allowing users to bring any LLM — and focuses on collaborative multiplayer AI workflows, avoiding the lock-in of lab-owned products while adopting usage-based pricing to sustain margins.
"We are going a lot towards collaboration and multiplayer AI. We I could spend minutes and minutes about explaining why it makes sense. We're also uh model agnostic which I think i…"
9:31
$MISTRAL
Mistral AI
LOWstan·Y Combinator·2 months ago·The Model-Agnostic AI Platform Betting That No Single Lab Will Win
Stan praises Mistral's execution to $12B valuation despite CEO's non-traditional background
Arthur Mensch grew from a pure researcher with no company-building experience into the CEO of a European AI lab valued at $12B, demonstrating exceptional scaling ability.
"I mean I'm always impressed by mistrol in that perspective. I've seen uh so uh I've met Arto Mench uh because I knew Giaml very well when he decided to go for building a company a…"
14:18
$ANTHROPIC
Anthropic
LOWstan·Y Combinator·2 months ago·The Model-Agnostic AI Platform Betting That No Single Lab Will Win
Stan notes VCs prefer concentrating capital in Anthropic over diversifying across startups
Venture capitalists are rationally deploying large checks into frontier labs like Anthropic because of quick markup potential, which absorbs oxygen from the broader early-stage funding market.
"if I was a gross investors that would make total sense for me to put 1 billion in entropic get two billion in six months and be done with that"
11:59
$MISTRAL
Mistral AI
MEDstan·Y Combinator·2 months ago·The Model-Agnostic AI Platform Betting That No Single Lab Will Win
Stan praises Mistral's execution and $12B valuation as impressive
Mistral has executed exceptionally well, with CEO Arthur Mensch growing rapidly into his role, and their aggressive strategy justifies the $12B valuation.
"I'm always impressed by mistral in that perspective. I've seen uh so uh I've met Arto Mench uh because I knew Giaml very well when he decided to go for building a company and he's…"
14:18
9
AI Economics & Business Modelstailwind
Credit-based pricing becomes mandatory for AI products as usage explodes
Flat seat-based pricing compresses margins as agent loops lengthen and token usage skyrockets; credit-based pricing aligns costs with usage and is the only way to preserve margins at the application layer under current model economics.
8
AI Applicationstailwind
AI products converging toward model-agnostic horizontal productivity suites
All AI products are converging to horizontal platforms covering entire workflows (like Microsoft Office or Google Drive for human-agent interaction), with differentiation coming from product sensibilities such as collaboration and multiplayer features rather than vertical depth.
8
AI Applicationstailwind
Model-agnostic horizontal platforms will beat lab-owned products
Frontier labs cannot be model-agnostic because they're incentivized to sell their own tokens; application-layer platforms that let users switch models dynamically will win, analogous to energy-agnostic factories.
8
AI Applicationsmixed
Vertical AI loses scaffolding value as models improve; network effects become key moat
Vertical AI products initially added scaffolding around weak models, but as models get better that scaffolding value disappears; defensibility shifts to network effects within the vertical, reverting to classic 2010 SaaS playbooks.
8
AI Economics & Business Modelstailwind
Credit-based pricing becomes mandatory as agent token usage explodes
Flat seat-based pricing compresses margins as agent loops lengthen and token consumption grows; credit-based pricing aligns costs with usage and preserves margins at the application layer.
8
Open Source AItailwind
Open source models will pressure frontier lab margins down from 70-80%
Frontier labs currently enjoy ~70-80% margins on model serving (evidenced by 9x price gap vs open-source equivalents like GLM 5.2 on Fireworks); open-source catch-up will compress these margins, improving application-layer economics.
8
Open Source AImixed
Open source models like GLM 5.2 undercut frontier lab margins by 9x on inference
Open source models reaching parity with frontier models at 1/9th the inference price will force lab margin compression from 70-80% down, recalibrating the market and improving the competitive position of application-layer companies.
7
AI Agentstailwind
AI agents have radically changed developer work since late 2024, spreading to all functions
After three years of limited impact, agent loops have recently transformed developer workflows completely, signaling the beginning of broader workplace disruption across every function.