agents technique

Daily cross-source mention tracking for agents: 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.

106 mentions, last 7 days 226 mentions, all stored days tracked since 2026-06-19
Daily total mentions · 2026-06-19 to 2026-07-10
034682026-06-19: 3 mentions2026-06-20: 3 mentions2026-06-21: 7 mentions2026-06-22: 7 mentions2026-06-23: 15 mentions2026-06-24: 9 mentions2026-06-25: 6 mentions2026-06-26: 10 mentions2026-06-27: 4 mentions2026-06-28: 6 mentions2026-06-29: 10 mentions2026-06-30: 9 mentions2026-07-01: 10 mentions2026-07-02: 10 mentions2026-07-03: 11 mentions2026-07-04: 6 mentions2026-07-05: 8 mentions2026-07-06: 9 mentions2026-07-07: 4 mentions2026-07-08: 5 mentions2026-07-09: 6 mentions2026-07-10: 68 mentions06-1906-3007-10
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 31 31
Hacker News stories 24 47
Research papers 17 114
GitHub trending repos 34 34
Receipts · current items mentioning agents
news The so-called 'first' AI-run ransomware attack still required human involvement Mon, 06 Ju hn 97% of websites expose zero tools an AI agent can use 2026-07-09 · external ↗ paper CausalDS: Benchmarking Causal Reasoning in Data-Science Agents 2026-07-10 · external ↗ repo addyosmani/agent-skills 2026-07-10 · trending today news Mark Zuckerberg tells staff AI agents haven't progressed as quickly as he hoped Thu, 02 Ju hn The true cost of saying "Hi" to an AI agent 2026-07-09 · external ↗ paper Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for Database Bypass 2026-07-10 · external ↗ repo vxcontrol/pentagi 2026-07-10 · trending today
How this is counted

Each item counts once per day if its title (plus summary or description where available) contains agents 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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