datacenter topic

Daily cross-source mention tracking for datacenter: 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.

21 mentions, last 7 days 26 mentions, all stored days tracked since 2026-06-21
Daily total mentions · 2026-06-21 to 2026-07-10
010192026-06-21: 1 mention2026-06-22: 1 mention2026-06-23: 1 mention2026-06-27: 1 mention2026-06-30: 1 mention2026-07-08: 1 mention2026-07-09: 1 mention2026-07-10: 19 mentions06-2106-3007-10
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 19 19
Hacker News stories 2 7
Research papers 0 0
GitHub trending repos 0 0
Receipts · current items mentioning datacenter
news SoftBank's CEO isn't alone in questioning Elon Musk's orbital data center hype Sat, 27 Ju hn Meta datacenter contractor flushed contaminated water 2026-07-09 · external ↗ news Amazon commits fresh $13B to AI infrastructure in India, bringing total pledges to $48B Thu, 25 Ju hn US manufacturers' energy costs soar because of AI data center demand 2026-07-08 · external ↗ news Google strengthens its Alabama presence through new investments and community support Mon, 15 Ju news Nvidia says its AI data center design runs hotter to nearly eliminate water use 2026-06-22 news Amazon employees say they face termination for backing data center limits 2026-06-18 news AI data centers just got a government-mandated fast lane to the grid Thu, 18 Ju
How this is counted

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