benchmarks topic

Daily cross-source mention tracking for benchmarks: how many AI news articles, Hacker News stories, research papers and GitHub trending repos mention it. Deterministic whole-word counts of real stored items, updated daily.

9 mentions, last 7 days 36 mentions, all stored days tracked since 2026-06-19
Daily total mentions · 2026-06-19 to 2026-07-10
0352026-06-19: 2 mentions2026-06-20: 1 mention2026-06-21: 1 mention2026-06-22: 1 mention2026-06-23: 1 mention2026-06-24: 2 mentions2026-06-25: 1 mention2026-06-29: 2 mentions2026-06-30: 5 mentions2026-07-01: 2 mentions2026-07-02: 5 mentions2026-07-03: 4 mentions2026-07-04: 1 mention2026-07-05: 1 mention2026-07-06: 1 mention2026-07-07: 1 mention2026-07-08: 1 mention2026-07-09: 2 mentions2026-07-10: 2 mentions06-1907-0107-10
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 2 2
Hacker News stories 1 2
Research papers 6 32
GitHub trending repos 0 0
Receipts · current items mentioning benchmarks
news Introducing GeneBench-Pro: A research-level benchmark for judgment-heavy AI analysis in computational biology Tue, 30 Ju hn Agentic test processes, LLM benchmarks, and other notes on agentic coding fr 2026-07-09 · external ↗ paper RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies 2026-07-09 · external ↗ news SpaceX IPO: Live updates on everything you need to know Fri, 12 Ju paper Speaker-Aware Temporal Aggregation Strategies on Segment Representations for Depression Detection in Dyadic Interaction: A Benchmark Study 2026-07-08 · external ↗ paper AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition 2026-07-06 · external ↗
How this is counted

Each item counts once per day if its title (plus summary or description where available) contains benchmarks or one of its tracked aliases, matched case-insensitively on whole words. Heat on the Hype Meter board is scored as: raw = total mentions across sources in trailing 7 days; breadth = number of distinct sources with >=1 mention in those 7 days (1-4); heat = percentile rank of (raw * breadth) among all terms with raw>0, scaled 0-100, rounded. News and repo counts start the day tracking began; Hacker News and paper counts are backfilled from stored daily snapshots. No language model touches these numbers.

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