Idea Sprint
SkillCommerce & financeFind and validate what to build in crypto. Use when the user asks "what should I build", "validate this idea", "is this worth building", "find me a startup idea", "crypto idea", or wants blunt feedback on a project concept before writing code.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Idea Sprint skill
What this skill tells your AI
The instructions your AI receives, as published by solanabr/solana-ai-kit in .claude/skills/idea-sprint/SKILL.md and read by ahel’s review.
Interview → necessity gate → 3 candidates → score → go/no-go. Output is a decision, not a brainstorm.
Context handoff
- At start: read
.claude/context/idea.mdand.claude/context/build.mdif present — resume from prior state instead of re-interviewing. - On completion: write/update
.claude/context/idea.mdwith the chosen idea, scores, validation evidence, and open risks. Downstream skills (pitch-deck, hackathon) read it.
Workflow
1. Blunt interview
No flattery. Short, pointed questions, one at a time, until three things are explicit:
- Edge — what the founder knows/can do that most can't (domain, distribution, tech)
- Constraint — time, money, team, chain commitments
- Wedge — the niche entry point, not the end-state vision
Push back on vague answers. "DeFi for everyone" is not a wedge. Full question bank: interview-framework.md.
2. Crypto-necessity gate
Kill question: "What gets worse if I remove the blockchain?" If the answer is vague, aesthetic, or marketing-driven — redirect the idea before scoring it. Pass criteria and redirect patterns: crypto-necessity-test.md.
3. Exactly 3 candidates
Generate three diverse candidates (different mechanisms/markets, not three flavors of one idea). For each:
- One-line pitch + target user
- Winner case — what's true in 18 months if it works
- Bear case — the most likely way it dies
Seed from datasets + live landscape (below), then combine with fresh research. Datasets are inspiration, not constraints.
4. Score /15
Each candidate, 0–3 per dimension (full anchors: scoring-rubric.md):
| Dimension | 3 means |
|---|---|
| Founder fit | unfair advantage |
| MVP speed | shippable in under a week |
| Distribution | first ten users are obvious |
| Market pull | people already paying for bad alternatives |
| Revenue path | clear monetization story |
5. Validate + go/no-go
Check demand signals against customer-signal-rubric.md — manual workarounds, active forks, bounties, on-chain activity = real; likes and "cool idea" replies = noise. Sprint structure: validation-framework.md.
- ≥ 8/15 → go. Write
idea.md, suggest/scaffoldnext. - 6–7 → conditional: name the one dimension to de-risk first.
- < 6 → strong no-go. Every no-go gets a pivot suggestion — use pivot-or-persist.md.
6. Write .claude/context/idea.md
Chosen idea, wedge, scores table, demand evidence, bear case, next step.
Idea datasets (inert JSON, ~515 entries)
In ../ext/solana-new/skills/data/ideas/:
- web3-ideas-combined.json — master list (summary)
- a16z-big-ideas-2025.json, a16z-state-of-crypto-2025.json
- yc-requests-for-startups.json, yc-crypto-companies.json
- alliance-ideas.json, superteam-ideas.json
- rwa-defi-2026-ideas.json, yash-defi-2024-ideas.json
Idea-source guides (markdown commentary on the same sources): ../ext/solana-new/skills/data/guides/ — plus source-map.md and research-playbook.md for where/how to research live.
Live hackathon landscape
ext/colosseum — 5,400+ Colosseum submissions for crowdedness checks, winner patterns, and gap analysis (requires COLOSSEUM_COPILOT_PAT).
Output format
Report spec (3 ranked candidates, scores, decision): output-spec.md.
Signals
- GitHub stars
- 101
- Forks
- 59
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
idea-sprint- Source
- github.com/solanabr/solana-ai-kit