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[VELOCITY_REPORT//2026-W31]
Jul 27 – Aug 2, 2026

worldmonitor added 10,483 stars in 7 days

worldmonitor added 10,483 stars in 7 days · ~4 min read

[TL;DR]
  • 01worldmonitor added 10,483 stars in 7 days
  • 02The MCP niche added 90,932 stars this week
  • 03Anti-pattern: elder-plinius/CL4R1T4S — stars-up-commits-down.
  • 04Quiet org spotlight: vllm-project.
[Hero accelerator]

koala73/worldmonitor

koala73/worldmonitor is the week's biggest breakout — score 3.00/10, current class accelerating. 75,504 total stars, 119 contributors.

[Movers]
Accelerating
  • bojieli/ai-agent-book+9,176
  • diegosouzapw/OmniRoute+8,990
  • stablyai/orca+6,299
  • ruvnet/RuView+4,442
  • Graphify-Labs/graphify+4,247
Stalling
(none)
[Niche of the week]
MCP

Across all tracked MCP repos, the ecosystem added 90,932 stars in 7 days — the largest niche-level move on The Terminal this week. The action is here.

HHI before: 559HHI after: 544
[Anti-pattern alert]
stars-up-commits-down · elder-plinius/CL4R1T4S

elder-plinius/CL4R1T4S added 619 stars this week against only 1 contributors (46,461 stars per contributor). Star velocity is running ahead of the shipping surface. Worth checking: is the work concentrated in one maintainer, or has the project hit a hype peak before the production layer caught up?

[Quiet org spotlight]

vllm-project

vllm-project is shipping quietly — 4 tracked repos with a combined velocity score of 14.7, but no single repo cracked the top 50 by 7-day stars. Either the work is spread evenly across a portfolio, or the discovery surface has not caught up to what they are building.

[On the cusp]
  • ZhuLinsen/daily_stock_analysisscore 9.88/10 · +1,166 stars/7d · class stable
  • FlowiseAI/Flowisescore 6.74/10 · +184 stars/7d · class stable
  • microsoft/generative-ai-for-beginnersscore 6.69/10 · +279 stars/7d · class stable
[Methodology]

Every number on this page comes from beam's daily ingest of GitHub, npm, PyPI, Hacker News, arXiv, HuggingFace, Docker, Stack Overflow, and Discord — fused into a 0–10 velocity score per repo. Read the full methodology.

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