idea-miner
Identifies viable startup and open-source opportunities by systematically analyzing market gaps and technical feasibility, reducing ideation time and improvi…
Two agent skills plus helper scripts that put spare agent tokens to work hunting AI startup and open-source ideas. The workflow generates AI-era theses and product/OSS bet sketches, then scans sources to kill, sharpen, or de-risk them through relevance gates, red-team critique, competitor checks, and CEO-style advance/pause/reject decisions. Produces a decision-chain research memo and an optional local JSONL evidence memory. Note: the rendered report is written in Chinese.
- Ask Claude to identify emerging AI startup opportunities by analyzing market gaps and trends.
- Generate open-source project ideas that solve real developer problems with AI integration.
- Find feasible AI tools your team could build using existing models and available resources.
Identifies viable startup and open-source opportunities by systematically analyzing market gaps and technical feasibility, reducing ideation time and improving project selection confidence for technical founders.
Technical founders and engineering leaders evaluating next-phase projects or portfolio expansion in AI and open-source ecosystems.
https://github.com/z2z23n0/idea-miner
By z2z23n0
How to Get It
git clone https://github.com/z2z23n0/idea-miner.git && cd idea-miner && node scripts/install-local.mjs # add --skills-dir=/path/to/skills --data-dir=/path/to/data for non-Codex agent runtimes
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Identify emerging AI startup opportunities by analyzing market gaps and trends
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- I Want to Invest in Your Idea--Mine Sucks — Hacker News · 4 pts
- Startup idea: Mine bitcoins using space based computing — Hacker News · 3 pts
- Show HN: Turn any successful website into a business idea with AI — Hacker News · 1 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 25 GitHub stars; contributors unknown; last commit 2d ago; license MIT.
Things to check
- The research report is written in Chinese by default — the daily/weekly memo output targets Chinese readers. Evidence-based evaluation: scored from public trust signals, not hands-on tested. Confirm fit before client deployment.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 25 GitHub stars; contributors unknown; last commit 2d ago; license MIT.