Rank #644 · on radar since 2026-07-07
LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
LLM-Engineers-Handbook is a AI dev tool on the Cresting radar since 2026-07-07, currently ranked #644 of 2379 tracked tools with a momentum score of 52.6. It has 5,162 GitHub stars (+9 in the last 7 days). Momentum measures how fast a tool is rising, not how big it is; the score recomputes hourly from public signals.
Momentum
52.6
24h· new7d· new
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) | 0.884 |
| Recency boost | 0.000 |
| Signal decay | 0.991 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks+1 in window · 1,240 latest · 2 snapshots
github · stars+9 in window · 5,162 latest · 2 snapshots
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