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Copilot is designed for founders researching startup opportunities in the Solana ecosystem. It answers questions conversationally by default, and runs a full 8-step research workflow when you explicitly opt in.

Use cases

Validate a startup idea

Search the builder corpus and accelerator portfolio, flag who’s already working on it, classify the gap, and find where differentiation exists.

Find who's building this

Surface relevant hackathon projects, accelerator companies, and products across crypto, with honest crowdedness scores.

Translate your background

Map your skills to underserved Solana verticals, surface relevant projects, and frame opportunities around what you already know.

Challenge a thesis

Test a claim, bullish or bearish, against real project and archive data. No sycophancy, no dismissal, just evidence.

Research concepts

Trace how ideas evolved from cypherpunk mailing lists and Satoshi’s writings through research papers to live implementations.

Compare hackathons

Contrast submission volume, quality trends, and category shifts across hackathons, tracks, or time periods.
See Examples for full prompt/response pairs from real evaluation runs.

Modes of operation

Conversational (default)

Answers questions with targeted API calls. Cites sources inline: project names, archive titles, URLs. Keeps responses concise. Offers to go deeper when the topic warrants it. Evidence floors by query type:
Query typeRequired evidence
Pure retrievalBuilder project evidence (project slugs)
Archive retrievalArchive evidence (document titles)
ComparisonProject evidence for each side + archive citation
EvaluativeProject evidence + archive citation + landscape evidence
Build guidanceProject evidence + archive citation + incumbent/landscape evidence

Deep Dive (explicit opt-in)

Full 8-step research workflow. Activates when you say:
  • “vet this idea”
  • “deep dive” / “full analysis”
  • “should I build X?” / “is X worth building?”
  • Accept the offer: “Want me to do a full deep-dive on this?”
The 8 steps:
  1. Parallel data gathering: simultaneous searches across projects, archives, and web
  2. Project search: semantic search with filters (hackathon, track, tech stack, winners, accelerator)
  3. Archive search: vector + text search across 65+ curated sources with auto-cascade
  4. Landscape check: The Grid product data + web search for current incumbents
  5. Hackathon analysis: tag distributions, track trends, cluster groupings
  6. Incumbent validation: honest assessment with gap classification (full / partial / false)
  7. Opportunity ranking: identify the strongest wedge based on evidence
  8. Structured report: similar projects, archive insights, landscape, opportunities, deep dive on top opportunity (incumbent analysis, revenue model, GTM, risks)
Report output includes:
  • 5–8 similar projects with slugs and context
  • 3–5 archive insights grounded in foundational concepts
  • Current landscape per research angle
  • Key patterns, gaps, and trends
  • Deep dive: incumbent analysis, problem statement, revenue model, GTM strategy, founder-market fit, why crypto/Solana, risks