how-to-earn-a-billion-dollars
how-to-earn-a-billion-dollars is a Product strategy & roadmaps skill for AI agents, published by RhysSullivan in the skills repository on GitHub. Skillspace rates how-to-earn-a-billion-dollars D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when brainstorming, generating, or evaluating startup ideas, deciding what to build, or reasoning about how a startup creates wealth and grows. Encodes Paul Graham's framework — outcome = growth rate × duration, growth comes from users loving the product enough to tell friends (empathy, not exploitation), and the best ideas come from building cool things with friends rather than searching for "startup ideas."
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 92
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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