Benchmark Radar Day 49: Who Reads the Radar — Researchers Strip and WeChat Group
Published:
Day forty-nine of Benchmark Radar. The README starts naming its readers: a researchers-by-institution strip with official logos, built by a script, plus a fresh WeChat group code for daily discussion. Scoreboard: 185 stars, 30 forks.
Author: Koutian Wu; GitHub: ktwu01
Benchmark Radar is live. Track new AI benchmarks, datasets, and leaderboards every day: open the dashboard or star it on GitHub. Read the paper: arXiv:2609.11115.
PR #622 adds the researchers-by-institution section to the README. The statement sits under the title, a logo strip names industry labs with their LLMs alongside universities (Amazon, Google, ByteDance, Alibaba, StepFun, Kuaishou, Zhihu, Carnegie Mellon, Auckland, Tsinghua, SJTU, Harvard, MIT, NUS), and a build script generates the strip from official institution logos so the claim stays checkable.
PR #623 refreshes the WeChat group QR code, the room where daily benchmark updates and eval discussions happen in Chinese.
The daily snapshot recorded, contribution scores updated. Quiet infrastructure days keep the living database alive: every snapshot is another dated data point the trends and saturation views can use.
Why this matters.
A project that says who uses it answers a newcomer’s first question: people like me already trust this. Institution logos carry that answer faster than any paragraph. The WeChat room gives Chinese readers a place to ask questions the dashboard cannot answer alone.
Issues addressed
- #622: researchers-by-institution section in README
- #623: WeChat group QR code refresh
- scoreboard: 185 of 1,000 stars, 30 forks
Day fifty: paper links go live across the project, a Hugging Face upvote call joins the README, and a paper-of-the-day laurel marks the dashboard.
Want to follow Benchmark Radar? Star the repo on GitHub for daily updates, or open the live dashboard to explore the scans. Read the paper: arXiv:2609.11115.