Osscar – Measuring open-source growth beyond GitHub stars
OSSCAR is a quarterly ranking of the fastest-growing open-source GitHub organizations. It's a joint project between Supabase and >commit, a VC focused on open-source. A few notes about the methodology: we focus on organization accounts (excluding personal accounts and forks), split them into two divisions by starting star count so smaller and larger ecosystems are evaluated among peers, measure growth across three signals (GitHub stars, contributors, and package downloads from npm, PyPI, and Cargo), normalize each signal within its division using a log–minmax transform, and combine the…
Osscar – Measuring open-source growth beyond GitHub stars launched on April 28, 2026 with 5 votes, #1,846 of 21,248 launches that month and more than 75% of that year's launches.
What it does
A quarterly ranking of the fastest-growing open-source organizations, by Supabase and >commit.
Ranked by composite growth across GitHub stars, contributors and package downloads. Updated quarterly by Supabase × >commit . Mnemosyne is a zero-dependency, SQLite-backed, sub-millisecond local-first AI memory system for Hermes Agents and any agent framework. Newsletter, podcast, and community about how to ship fast and make good software. Followed by 170K+ engineers and managers. Run by @lucaronin Most AI coding setups rot as the context window fills. Open GSD keeps the context clean, the work verified, and the git history honest — ship more, worry less. “Find what breaks your AI agent before it does.” Probes, testing, and observability for prompts, MCP, and RAG. Open source. Your AI QA…from osscar.dev
In the maker’s words, at launch
OSSCAR is a quarterly ranking of the fastest-growing open-source GitHub organizations. It's a joint project between Supabase and >commit, a VC focused on open-source. A few notes about the methodology: we focus on organization accounts (excluding personal accounts and forks), split them into two divisions by starting…
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Source: Show HN post ↗ · launch text quoted in part
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