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rekursiv.ai launch: what they're building and where to launch next

FoxPlug writes launch posts from what a startup ships and matches it to the launch communities that fit it. This page shows what rekursiv.ai is building and where it could launch next; if it is your startup, start free below.

What they're building

Scale AI scientists whose own breakthroughs accelerate the next.

Batch
Y Combinator Summer 2026
Industry
B2B
Team size
2
Based
San Francisco, CA, USA

Founders

rekursiv.ai ↗

See their funding details ↗

rekursiv.ai on the record

What they shipped

  • From its YC profile: We're scaling self-improving AI scientist teams to ideate/experiment/discover, generating new knowledge autonomously. Their discoveries reduced ARC-1/2 costs by 10,000× while maintaining state-of-the-art accuracy and yielded material advances on combinatorial ML problems. We believe that AI is bounded not by compute, but ideas. Scaling to millions of sessions of discovery enables leveraging its own discoveries and presents a novel training source capable of ushering a new era of self-reliant foundational models. (source)
  • Its own site describes it as: "rekursiv.ai builds AI Scientists — autonomous systems that form hypotheses, run experiments, and discover new knowledge." (source)

Who is behind it

  • Joshua Dillon, Founder: Ex-Google, Ex-Deepmind, Ex-LumaAI staff research scientist for a combined total of 14 years. Led foundational model pre-training at Luma AI. Creator of TensorFlow Probability (1M+ downloads / month), built Veo's first prototype, contributor to Gemini and VideoPoet (ICML 2024 Best Paper). 11,600+ citations. Now co-founder of rekursiv.ai, automating the science of ML research. (source)
  • Dan Kondratyuk, Founder: Ex-Google, Ex-LumaAI scientist for a combined total of 7 years. First author of VideoPoet (ICML 2024 Best Paper), led the World Models team at Luma, and built large-scale multimodal LLMs and diffusion models for image, video, audio, and text. Now co-founder of rekursiv.ai, automating the science of ML research. (source)

Code

  • GitHub organization rekursiv-ai: 8 public repositories, 81 stars in total, mostly Python; most starred is sagent (32 stars, Python); last push 2026-09-05 (read 2026-09-06). (source)

Timeline

  1. 2026: founded, per its YC profile. (source)

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Where else to launch rekursiv.ai

  • Product Hunt ↗
    Self-promotion allowedFree
  • Indie Hackers Forum ↗
    Self-promotion allowed
    Audience: IndieHackers; bootstrapped solo founders sharing revenue and behind-the-scenes
  • Hacker News (Show HN) ↗
    Self-promotion allowed, within the community's rules
    Audience: Hacker News readers; engineers, technical founders, infra-curious people
  • Demand Curve ↗
    Self-promotion allowed, within the community's rules
    Audience: Slack community; tight-knit, pseudo-private peer group
  • No Code Founders ↗
    Self-promotion allowed, within the community's rules
    Audience: Slack community; tight-knit, pseudo-private peer group
  • OnlineGeniuses ↗
    Self-promotion allowed, within the community's rules
    Audience: Slack community; tight-knit, pseudo-private peer group
  • Product Makers ↗
    Self-promotion allowed, within the community's rules
    Audience: Slack community; tight-knit, pseudo-private peer group
  • ProductLed ↗
    Self-promotion allowed, within the community's rules
    Audience: Slack community; tight-knit, pseudo-private peer group

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