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Running Analytics on 22 GB of Hacker News in SQLite

Details

External ID
46444657
Source
HN
Company
—
Product
Running Analytics on 22 GB of Hacker News in SQLite
Website domain
philippdubach.com
Launched
Dec. 31, 2025
Cohort
—
Upvotes
5
Upvotes percentile
0.10400763358778627
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

First of all please go check out the amazing project this analysis is based on: https://news.ycombinator.com/item?id=46435308For my paper [1] I analyzed HN attention dynamics using 72k temporal snapshots from December 2025 to model decay curves, preferential attachment, and engagement survival. Today I’ve cross-referenced these findings with the recent 22GB HackerBook SQLite export to validate my early-engagement prediction models on this 22GB historical subset.[1] Preprint available on SSRN: https://dx.doi.org/10.2139/ssrn.5910263

Enrichment

Theme
Hacker News clients, datasets, and tools
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
analytics on hacker news data
Manually corrected
False

Could you build this?

Yes This is an analytics project and data pipeline querying a 22 GB SQLite dataset, which standard AI coding tools can easily write queries, scripts, and chart visualizers for.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 50 launches clear the similarity bar, closest 8 shown.

Attention rank: #44 of 51 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 63 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.