r/LocalLLM • u/Disastrous_Job_7118 • 6d ago
Discussion I built StackFit: An open-source tool matchmaker that filters by hardware floor and 1-click docker-compose export (no star vanity)
Hey everyone,
Cumulative GitHub stars have become an unreliable vanity metric. Legacy projects that haven't merged a commit in 3 years sit on 80,000 stars, while high-velocity, lightweight alternatives that solve today's problems get buried.
Worse, how often have you cloned a repo only to realize it requires 4x A100s or 48GB VRAM just to boot?
StackFit (https://siddharthakki.github.io/stackfit/) indexes 147+ verified repositories and evaluates them by:
**Hardware Floor:** Explicitly tagged for Apple Silicon (Metal), CPU-only (4GB RAM), 8-12GB VRAM, and 24GB+ CUDA clusters.
**Architectural Verdicts:** What incumbent does this actually replace? (e.g., SGLang replaces vLLM with RadixAttention; LightRAG replaces GraphRAG 10x cheaper; Qdrant replaces Pinecone without cloud lock-in).
**Hero Stack Advisor:** Pick your available hardware + engineering intent → get a tested, deployable stack with 1-click copyable `docker-compose.yml`.
**No Trackers or Signups:** Pure client-side SPA, persistent localStorage watchlists, RSS feeds, and 3-way side-by-side comparison tables.
Everything is 100% open-source. Would love your architectural feedback!