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[VELOCITY_REPORT//2026-W30]
Jul 20 – Jul 26, 2026

graphify added 6,356 stars in 7 days

graphify added 6,356 stars in 7 days · ~4 min read

[TL;DR]
  • 01graphify added 6,356 stars in 7 days
  • 02The MCP niche added 69,636 stars this week
  • 03Anti-pattern: elder-plinius/CL4R1T4S — stars-up-commits-down.
  • 04Quiet org spotlight: langchain-ai.
[Hero accelerator]

Graphify-Labs/graphify

Graphify-Labs/graphify is the week's biggest breakout — score 1.92/10, current class stable. 92,537 total stars, 163 contributors.

[Movers]
Accelerating
  • diegosouzapw/OmniRoute+5,044
  • stablyai/orca+4,962
  • tirth8205/code-review-graph+4,265
  • DietrichGebert/ponytail+3,775
  • NousResearch/hermes-agent+3,136
Stalling
(none)
[Niche of the week]
MCP

Across all tracked MCP repos, the ecosystem added 69,636 stars in 7 days — the largest niche-level move on The Terminal this week. The action is here.

HHI before: 495HHI after: 481
[Anti-pattern alert]
stars-up-commits-down · elder-plinius/CL4R1T4S

elder-plinius/CL4R1T4S added 367 stars this week against only 1 contributors (45,817 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]

langchain-ai

langchain-ai is shipping quietly — 5 tracked repos with a combined velocity score of 10.8, 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 9.67/10 · +859 stars/7d · class stable
  • microsoft/generative-ai-for-beginnersscore 7.66/10 · +312 stars/7d · class stable
  • FlowiseAI/Flowisescore 6.28/10 · +171 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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