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[VELOCITY_REPORT//2026-W28]
Jul 6 – Jul 12, 2026

strix added 10,030 stars in 7 days

strix added 10,030 stars in 7 days · ~4 min read

[TL;DR]
  • 01strix added 10,030 stars in 7 days
  • 02The Agents niche added 88,601 stars this week
  • 03Anti-pattern: elder-plinius/CL4R1T4S — stars-up-commits-down.
  • 04Quiet org spotlight: vllm-project.
[Hero accelerator]

usestrix/strix

usestrix/strix is the week's biggest breakout — score 2.00/10, current class accelerating. 38,073 total stars, 47 contributors.

[Movers]
Accelerating
  • JuliusBrussee/caveman+7,506
  • DietrichGebert/ponytail+7,095
  • Zackriya-Solutions/meetily+6,624
  • Leonxlnx/taste-skill+5,411
  • Panniantong/Agent-Reach+5,205
Stalling
(none)
[Niche of the week]
Agents

Across all tracked Agents repos, the ecosystem added 88,601 stars in 7 days — the largest niche-level move on The Terminal this week. The action is here.

HHI before: 3,647HHI after: 4,179
[Anti-pattern alert]
stars-up-commits-down · elder-plinius/CL4R1T4S

elder-plinius/CL4R1T4S added 670 stars this week against only 1 contributors (44,886 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 14.9, 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 9.90/10 · +2,759 stars/7d · class stable
  • microsoft/generative-ai-for-beginnersscore 8.02/10 · +262 stars/7d · class stable
  • FlowiseAI/Flowisescore 6.91/10 · +209 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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