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TIMING

Wikipedia pageview forecasts, no LLM, just stats

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This is 1 of 101 launches in specialized analytics platforms — see how it stacks up on momentum and crowding →

124 other launches read as similar to this one →

Details

External ID
1259319
Source
PH
Company
—
Product
TIMING
Website domain
producthunt.com
Launched
Oct. 13, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Data & Analytics

Description

For any Wikipedia topic, TIMING pulls 90 days of daily pageviews from the Wikimedia Analytics API, computes a 7-day rolling average and a linear regression on log(1+views), and flags rupture points with a z-score at 2σ (after subtracting the expected false-positive rate from pure noise). It outputs two normalized scenarios (continuity vs rupture), and every sentence is a template filled from the actual computed numbers, no LLM involved. Free, no account needed.

Enrichment

Niche
specialized analytics platforms
Vertical
Media & entertainment
Function
Analytics & BI
Audience
Prosumer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
statistical pageview forecasting for wikipedia
Manually corrected
False

Could you build this?

Yes This is a straightforward dashboard that queries the public Wikimedia Analytics API and runs basic summary statistics and regressions in JavaScript or Python.

Competitors

Other products that read as similar to this one — 124 launches clear the similarity bar, closest 8 shown.

Attention rank: #51 of 125 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 325 days after the earliest competitor.

Other launches for this product