Applied Compute
Worth-Joining Index · Scorecard
v2.1 ALPHA · 2026-08Career Score
—/100
Coverage
51%
Verified
17%
Stage cohort
Early
Vibe Check
🎪 community voting coming soon
Latest valuation
$1.3B (Series B, 2026-04)
Total raised
$160M total raised as of April 2026
Traction · Key numbers
Funding
Total raised
$160M total raised as of April 2026
Rounds
4
Valuation pace
~$100M
$350M
Funding talks · 2026-09 · valuation $1.3B post (Series B, 2026-04) · led by Kleiner Perkins
Nearly doubled again just 4 months after prior valuation
Funding talks · 2026-01 · led by Kleiner Perkins
In talks, valuation more than doubled in ~3 months
$80M
Funding round · 2025-10 · valuation $500M post
About 3 months after the seed, valuation up 5x
$20M
Seed · 2025-06 · valuation $100M post · led by Benchmark
With: Sequoia, Conviction, Hanabi Capital, Definition · Led by Benchmark partner Victor Lazarte
▸Lead investor lineup escalates fast: Benchmark seed → Kleiner Perkins Series B → Elad Gil in the latest talks, signaling sustained top-tier conviction within 14 months
▸One of the steepest valuation curves in the current AI infra wave — but disclosed revenue hasn't kept pace, a sign this may be expectation-priced rather than metric-priced
Founders
Yash Patil CEO
Stanford grad, ex-OpenAI Codex team, worked on agentic software systems
Rhythm Garg Co-founder
Ex-OpenAI, core contributor to the o1 reasoning model
Linden Li Co-founder
Ex-OpenAI, focused on ML infrastructure and RL training systems
Reality · Working here
Signals & Risks
Editorial ✎
Good fit for
· RL-research-minded engineers who want to stress-test their methodology on real enterprise agent deployments
· People who want to work alongside o1/Codex-caliber researchers and can handle an early-stage, high-intensity pace
· Those who believe custom enterprise model tuning becomes core AI infrastructure demand
Not for
· Those who want a mature team, established process, and a proven customer base — the core team is still small and everything is unproven
· Candidates uncomfortable with valuation-run-ahead-of-revenue situations who need hard revenue metrics to decide
Ask in the interview
1. What is current ARR/revenue, and what multiple does that imply against the $3.25B valuation in talks?
2. Beyond the founders' OpenAI pedigree, what is the actual technical moat — why can't OpenAI or a hyperscaler build this in-house?
3. What are the founders' equity/retention structures, given how much of the company's story rests on three specific people?
Data changelog
Community corrections → editorial review → applied, fully on the record
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