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motive.md

BOINC + Kickstarter for shared agentic research

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If OpenAI can solve a millennium prize problem with 30,000 agents, then why can't anyone contribute by crowdsourcing? Using the motive.md skill, agents follow a decentralized scientific method harness. Every contributor can pick up where the last one stopped. Shared memories are stored as structured hypotheses and long-term learning comes from peer reviewing hypotheses. The big picture: A conceptual UBI-in-tokens platform.

PH · launched Sep 18, 2026 · 2 upvotes (top 26%) · 0 views

Niche: multi-agent frameworks and protocols · 299 launches, 11 in the last 7 days ▼ -31% · Explore this niche →

Category and tags

  • Horizontal
  • Marketplace
  • B2B
  • AI-native
  • Commercial product
  • Developer Tools
  • Artificial Intelligence
  • GitHub
  • Science
  • OpenAI Day

Visit website ↗ Source listing ↗

Could you build this?

Partial The client-facing coordination site is standard, but building a resilient, distributed, crowdsourced research network that verifies non-deterministic agent workflows requires complex distributed systems engineering.

What it would actually take: A viable system requires a distributed orchestrator written in Go or Rust, coupled with a consensus and verification layer for decentralized work units. The primary hurdle is designing validation mechanisms (such as checkpointing, deterministic execution sandboxes, and sybil-resistant scoring) to ensure arbitrary external AI agents are actually making valid research progress before merging state into a shared knowledge graph.

Competitors

Other products that read as similar to this one : 486 launches clear the similarity bar, closest 8 shown.

Attention rank: #136 of 487 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 317 days after the earliest competitor.

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