seed-hunt

Collect online pain-point seeds from Reddit, Grok/X, Hatena Bookmark, and Yahoo!知恵袋 and score them with a six-axis framework.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/no-problem-dev/ideate --skill seed-hunt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seed-hunt
Source: https://github.com/no-problem-dev/ideate/tree/main/plugins/app-discovery/skills/seed-hunt
Command: npx skills add https://github.com/no-problem-dev/ideate --skill seed-hunt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

seed-hunt surfaces diverse, high-potential app seeds by aggregating signals from diverse online sources and applying a rigorous scoring and critique process.

Core Features & Use Cases

  • Multi-source seed collection from Reddit, Grok (X), Hatena Bookmark, and Yahoo!知恵袋, with a 6-axis scoring framework (P, F, M, G, Fit, N) and Critic validation.
  • Rotation-driven perspective and query frame context to maximize novelty and market fit for indie developers.
  • Weekly output of Featured seeds and a Most Novel item to ideas/app-seeds/YYYY-MM-DD.md for rapid prototyping.

Quick Start

Run seed-hunt weekly to collect seeds from multiple sources and generate the seed output file.

Frequently Asked Questions about seed-hunt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I gather app ideas from Reddit and Yahoo知恵袋 pain points?

To gather app ideas from pain points, seed-hunt collects online signals from Reddit, Grok/X, Hatena Bookmark, and Yahoo!知恵袋, then scores them with a six-axis framework to surface diverse seeds for rapid prototyping.

What is the six-axis scoring framework for evaluating app ideas?

The six-axis scoring framework evaluates app ideas using P, F, M, G, Fit, and N scores. It applies rotation contexts and novelty constraints to validate market fit and highlight the Most Novel item for indie developers.

How do I automate weekly app ideation and seed collection?

You automate weekly app ideation by running seed-hunt, which pulls pain-point signals from four online sources, applies critique validation, and outputs Featured seeds plus a Most Novel item to a dated markdown file.

Can I use multi-source pain-point signals to find high-potential app seeds?

Yes, you can use multi-source pain-point signals to find high-potential app seeds. seed-hunt aggregates diverse online sources and applies rigorous scoring and rotation-driven perspectives to maximize novelty.

Where are the evaluated app seeds and critic conclusions stored?

Evaluated app seeds and critic conclusions are stored in ideas/app-seeds/YYYY-MM-DD.md. This weekly output file includes the P, F, M, G, Fit, and N scores for rapid prototyping reference.

What is rotation context in app ideation and novelty scoring?

Rotation context in app ideation is a perspective and query frame mechanism used during seed evaluation. It maximizes novelty and market fit by applying varying constraints to the collected pain-point signals.