A developer has created an open-source AI
RANK_REASON [lever_c_demoted from research: ic=1 ai=1.0]
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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
I turned YC, Sequoia and DocSend pitch-deck research into an open-source Agent Skill (one command to install)
How we ranked this
- Signal score
- 11 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Tool
- [lever_c_demoted from research: ic=1 ai=1.0]
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
Full methodology in our editorial standards.
COVERAGE [1]
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I turned YC, Sequoia and DocSend pitch-deck research into an open-source Agent Skill (one command to install)
<p>Every founder I know has asked an LLM to "review my pitch deck". The answer is always the same: polite, generic, and useless. "Consider adding more detail to your traction slide." Thanks.</p> <p>The model is not the problem. The problem is that the model has no idea what a goo…