Source profile
Techloy
✓Africa-focused technology and startup publication. Covers startups, fintech, venture funding, and digital innovation across emerging markets. Strong regional signal for African tech ecosystems. Often highlights founders, funding rounds, and platform growth stories.
Official source: NoMainstream media: NoLast activity: 13h 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: 7Sample 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: 41Sample 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: 191Sample 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
7
Sample: 7Sample 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
41was 48
▼ 15% (corpus -10%)
Sample: 41Sample 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
191was 6
Not enough data for a change figure
Sample: 191Sample 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
- 100.0%
Sample: 7Sample 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
- 5
- Dated share
- 100.0%
Sample: 41Sample 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
- 22
- Dated share
- 100.0%
Sample: 191Sample 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
AI34%
Gaming34%
Business27%
Startups17%
Entertainment Industry Tech15%
Sample: 41Sample 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
Gaming33%
Business31%
AI29%
Gadgets19%
Startups17%
Sample: 191Sample 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 reporting39%
Announcement29%
Untyped15%
Other10%
Analysis5%
Breaking news2%
Sample: 41Sample 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 reporting49%
Announcement28%
Untyped14%
Other6%
Analysis3%
Breaking news2%
Sample: 191Sample 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
Positive57%
Mixed29%
Negative9%
Neutral6%
Net tone: Positive · 0.49
Sample: 35Sample 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
Positive66%
Mixed20%
Negative7%
Neutral7%
Net tone: Positive · 0.59
Sample: 168Sample 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
Alphabet12%
Fitbit7%
OpenAI7%
Steam7%
GPT-65%
Sample: 41Sample 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
Xbox8%
Alphabet6%
Nintendo Switch 25%
OpenAI5%
Meta4%
Sample: 191Sample 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 46.3% · Unspecified 12.2%
US50%
Africa15%
UK10%
Sample: 20Sample 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 53.4% · Unspecified 6.3%
US57%
Africa16%
__no_region__7%
Sample: 81Sample 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
Consumers46%
Others37%
Developers12%
- Consumers+2.2pp vs baseline
- Others+11.1pp vs baseline
- Developers-3.3pp vs baseline
Sample: 41Sample 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
Consumers61%
Others22%
Startups12%
- Consumers+16.1pp vs baseline
- Others+2.9pp vs baseline
- Startups+3.5pp vs baseline
Sample: 191Sample 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
High68%
Medium27%
Low0%
Sample: 41Sample 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
High74%
Medium23%
Low0%
Sample: 191Sample 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
Medium54%
High42%
Low0%
Sample: 41Sample 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%
Medium44%
Low0%
Sample: 191Sample 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
Accelerating61%
Mature24%
Early signal10%
Other0%
Sample: 41Sample 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%
Mature20%
Early signal10%
Other0%
Sample: 191Sample 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 (6 of 20)
30d
65 rated (34.0% of coverage)
New Product60%
Software Release26%
Funding Round17%
Lawsuit3%
New AI Model3%
Sample: 65Sample 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
34 rated (82.9% of coverage)
Official announcement53%
On record sources41%
Opinion6%
Sample: 34Sample 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
110 rated (57.6% of coverage)
Official announcement62%
On record sources34%
Opinion5%
Sample: 110Sample 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
35 rated (85.4% of coverage)
First report97%
Explainer or recap3%
Sample: 35Sample 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
113 rated (59.2% of coverage)
First report98%
Explainer or recap2%
Sample: 113Sample 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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