Rank #40 · on radar since 2026-07-03
tessera
From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
Visit homepage ↗cudarustpytorchflash-attention+12
Momentum
94.9
24h–7d–
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.980 |
| Signal decay | 0.998 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks5 latest · 2 snapshots
github · stars467 latest · 2 snapshots