Demo tourFirst time here? Start like this
- Search a word — try Claude OpenAI MCP or use the search box at the top. It first looks through collected conversation; for a word that is not there, the results page offers Search the web now (3 per visitor).
- See whether it matters — the big verdict on this page (calm / watch / rising / alert) answers "do we need to act now?"; below it are the stories driving it and the rules that fired.
- Triage mentions — on the Mentions page, mark each one to do / done / ignored, like an inbox.
- Add your own subscription — on the Subscriptions page, enter a brand name and its usual spellings; verdicts and mentions then filter by it. For a new name, run Search the web now once on the mentions page to get data; a self-hosted install collects on a schedule.
Your changes are visible only to you; press Reset in the yellow bar at the top to start over at any time.
How to read this page: verdict first → then the stories driving it → then the caliber (Zone 7, every threshold printed)
01Verdict · All keywords · 7d
Calm
Nothing needs action right now.
Evidence quality · high75/100
Evidence quality = how hard the evidence is (sample, sources, baseline, freshness), not how severe things are. The verdict and the evidence score are two different things.
- google-news, hn, gdelt-news, bluesky, lemmy, reddit are newly connected (873 mentions) with no history, so they are left out of the volume ratio.
- Volume 0.0× baseline, 13% negative: both under the watch line.
- To reach Watch: 76 more negative mentions
03Volume & sentiment
873 mentions in 7d, no baseline yet
Daily mentions
Sentiment split
Daily mean sentiment (−1 to +1; days without mentions break the line, never interpolated)
04Stories driving it
Story clusters ranked by mentions
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1
Anthropic launches Claude Duet, a proactive agent app taking on Meta's Muse and OpenAI's Dots - Dealroom 17 mentions · Negative 0% · first seen google-news · 2 Source
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2
One HTTP Request and the Tool Shows Up https://nicheof.one/feed/one-http-request-and-the-tool-shows-up/ 14 mentions · Negative 0% · first seen bluesky
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3
What to know about security bug impacting wide swaths of the internet 13 mentions · Negative 0% · first seen gdelt-news
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4
OpenAI models are coming to Google Cloud 8 mentions · Negative 0% · first seen google-news · 3 Source
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5
OpenAI Expands ChatGPT Ads to 26 New Countries - PYMNTS.com 7 mentions · Negative 0% · first seen google-news · 2 Source
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6
Uber gives more than 30 , 000 staff OpenAI ChatGPT Work agent 7 mentions · Negative 0% · first seen google-news · 2 Source
05Source × sentiment
Source
| Source | n | Share | Negative | Mean |
|---|---|---|---|---|
| google-news | 304 | 35% | 21 | +0.06 |
| hn | 133 | 15% | 14 | +0.02 |
| gdelt-news | 132 | 15% | 17 | +0.01 |
| bluesky | 127 | 15% | 12 | -0.01 |
| lemmy | 113 | 13% | 33 | -0.04 |
| 64 | 7% | 17 | +0.04 |
06Data health
Data sources
| Source | Status | Last stored | In window | Total |
|---|---|---|---|---|
| google-news | Fresh | just now | 304 | 304 |
| hn | Fresh | just now | 133 | 133 |
| gdelt-news | Fresh | just now | 132 | 132 |
| bluesky | Fresh | just now | 127 | 127 |
| lemmy | Fresh | just now | 113 | 113 |
| Fresh | just now | 64 | 64 |
07Caliber & assumptions
Verdict rules · Evidence-quality breakdown
07Caliber & assumptions
Verdict rules · Evidence-quality breakdown
| Condition | Result |
|---|---|
| n < 5 | Insufficient data |
| Mentions ≥ 3.0× Baseline & Negative share ≥ 30% | Alert |
| ≥ 2.0× Baseline | Negative share ≥ 35% | Elevated |
| ≥ 1.5× Baseline | Negative share ≥ 20% | Watch |
| — | Calm |
| Baseline = mean daily mentions over the 28 days before the window × window days. Sources with no history before the window are excluded from the ratio (counted in every other number). | |
| Part | Score |
|---|---|
| Sample size (50+ mentions = full) | 30 / 30 |
| Source spread (3+ sources = full) | 20 / 20 |
| Comparable baseline (share of mentions from sources with history) | 0 / 25 |
| Sentiment backend (lexicon baseline) | 5 / 5 |
| Freshness (newest mention ≤6h = full) | 20 / 20 |
| Evidence quality | 75 / 100 |