Source profile
TechSpot
✓PC hardware, software, and performance-focused coverage. Good for benchmarks, GPUs/CPUs, and industry moves. Often includes detailed reviews and technical testing. Useful for enthusiast and pro-user hardware signals.
Official source: NoMainstream media: NoLast activity: 1h ago
20 items analyzedVisit site ↗
Insights Metrics v2
Metric board
Publisher typeWhether the publisher is an official company channel or a mainstream outlet. Best-effort editorial judgements, hand-set per source.
24h
independent
Sample: 12Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
7d
independent
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
independent
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Articles publishedThe number of final articles from this source whose event date falls in the window, with the change from the previous window. Counts what we collected; sources run on different schedules.
24h
12
Sample: 12Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
7d
87was 94
▼ 7% (corpus -10%)
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
396was 18
Not enough data for a change figure
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Active daysThe number of days in the window with at least one final article from this source. For sources that rarely expose a publish date, this is based on collection date.
24h
- Active days
- 1
- Dated share
- 83.3%
Sample: 12Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
7d
- Active days
- 7
- Dated share
- 80.5%
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
- Active days
- 30
- Dated share
- 85.9%
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Topic mixThe five categories that appear most often in the source's final articles. Same generous multi-labelling as E7.
24h
Not enough data
not offered for this window
7d
Business37%
Gaming28%
AI26%
Hardware24%
Gadgets21%
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
Business36%
Gaming29%
AI28%
Hardware28%
Gadgets18%
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Content-type mixWhat kind of pieces the source publishes. Coarse AI labels - labelled 'AI-classified article type'.
24h
Not enough data
not offered for this window
7d
News reporting52%
Announcement24%
Untyped16%
Breaking news3%
Other3%
Analysis1%
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
News reporting41%
Announcement32%
Untyped17%
Breaking news5%
Analysis3%
Other2%
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Tone mix and net toneThe distribution of article-level sentiment in the source's final articles, plus net tone. Official channels are self-promotional by nature.
24h
Not enough data
not offered for this window
7d
Positive41%
Negative26%
Mixed20%
Neutral13%
Net tone: Positive · 0.16
Sample: 70Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
Positive51%
Negative25%
Mixed15%
Neutral9%
Net tone: Positive · 0.26
Sample: 346Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Most-covered entitiesThe top 5 linked entities in the source's final articles. Catalog gaps and disabled forms under-count.
24h
Not enough data
not offered for this window
7d
Apple7%
PlayStation 57%
Alphabet6%
Amazon6%
OpenAI5%
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
Microsoft7%
Windows7%
Apple6%
NVIDIA6%
Alphabet4%
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Regional focusWhich parts of the world this source's coverage concerns. The AI's reading of the article's geography, not the outlet's country of registration.
24h
Not enough data
not offered for this window
7d
Global 46.0% · Unspecified 4.6%
US71%
__no_region__14%
EU11%
Sample: 44Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
Global 59.3% · Unspecified 2.5%
US75%
EU11%
__no_region__7%
Sample: 153Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Audiences coveredWhich audiences this source's articles say are affected. Consumers is the corpus default; read every number as a deviation from it.
24h
Not enough data
not offered for this window
7d
Consumers62%
Others26%
Developers13%
- Consumers+18.0pp vs baseline
- Others+0.9pp vs baseline
- Developers-2.9pp vs baseline
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
Consumers56%
Others23%
Developers15%
- Consumers+11.0pp vs baseline
- Others+4.6pp vs baseline
- Developers+1.6pp vs baseline
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Sourcing-strength mixHow often the AI judged an article's own sourcing to be strong versus thin, for this outlet's articles. The model's assessment of one article's sourcing, made without browsing. Never a publisher reliability or trust score, never used to rank sources.
24h
Not enough data
not offered for this window
7d
High57%
Medium33%
Low3%
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
High76%
Medium21%
Low1%
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Confidence mixHow sure the model was about its own reading of each article. Uncalibrated self-confidence, descriptive only.
24h
Not enough data
not offered for this window
7d
Medium46%
High41%
Low7%
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
High53%
Medium43%
Low2%
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Stance profileWhere the stories sit in a trend's life - accelerating, mature, or an early signal. An AI reading of the article's framing, not a market judgement.
24h
Not enough data
not offered for this window
7d
Accelerating51%
Early signal23%
Mature21%
Other0%
Sample: 87Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
Accelerating67%
Mature17%
Early signal14%
Other0%
Sample: 396Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Event types coveredWhich kinds of events this outlet reports on. Same 2026-08-10 start date and New-Product skew as E12.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (16 of 20)
30d
132 rated (33.3% of coverage)
New Product54%
Software Release36%
Lawsuit10%
Open Source6%
Partnership6%
Sample: 132Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Evidence-basis mixHow much of this outlet's coverage is built on official confirmation versus rumor, anonymous sourcing, or opinion. Correlated with the outlet's beat, never used as a trust ranking.
24h
Not enough data
not offered for this window
7d
71 rated (81.6% of coverage)
Official announcement56%
On record sources34%
Analyst estimate6%
Anonymous sources3%
Rumor or leak1%
Sample: 71Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
233 rated (58.8% of coverage)
Official announcement59%
On record sources34%
Analyst estimate3%
Opinion2%
Anonymous sources1%
Rumor or leak1%
Sample: 233Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Story-phase mixWhether this outlet mostly breaks stories first or mostly follows up, reacts, and explains. Orthogonal to S5's content-type mix by prompt design.
24h
Not enough data
not offered for this window
7d
79 rated (90.8% of coverage)
First report98%
Follow up1%
Reaction or analysis1%
Sample: 79Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
244 rated (61.6% of coverage)
First report97%
Reaction or analysis3%
Follow up1%
Sample: 244Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
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