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Kehai

Cookieless web analytics with a forecast that grades itself

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This is 1 of 113 launches in algorithmic and prediction market trading tools — see how it stacks up on momentum and crowding →

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Details

External ID
1268960
Source
PH
Company
—
Product
Kehai
Website domain
producthunt.com
Launched
Oct. 10, 2026
Cohort
—
Upvotes
2
Upvotes percentile
0.76
Tags
Analytics, Marketing, Privacy

Description

Kehai is cookieless web analytics hosted in the EU. Reports are counted from recorded events without sampling, and imported or modeled numbers keep their own labels. The forecast tests itself on your history and shows its error next to the answer. Pacing tells you mid-month whether a target is still in reach. Sales and refunds come from the shop itself, AI referrals and bots get their own reports, and a read-only MCP server lets your assistant ask.

Enrichment

Niche
algorithmic and prediction market trading tools
Vertical
Marketing
Function
Analytics & BI
Audience
B2B
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
cookieless web analytics with predictive forecasting
Manually corrected
False

Could you build this?

Partial While collecting cookieless analytics and displaying charts is straightforward, processing non-sampled clickstream ingestion reliably at scale and implementing self-evaluating statistical forecasting models requires specialized data engineering.

What it would actually take: Requires an event collection gateway feeding an analytical columnar database like ClickHouse or DuckDB for exact-count unsampled metrics. The analytical forecasting engine needs time-series forecasting (e.g., Prophet, ARIMA, or custom regression pipelines) coupled with rolling backtesting validation logic to compute error intervals dynamically.

Competitors

Other products that read as similar to this one — 20 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 21 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 83 days after the earliest competitor.

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