Hacker-News Buddies
Details
- External ID
- 48785638
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- July 4, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.2873357228195938
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
https://hn-buddies.stupidlabs.lolFind hackernews audience whose comments matches most to you.This is based on tf-idf weighted keywords match from comments. Covers data from Jan 1, 2020 through May 31, 2026. Keywords that are too rare or too broad across authors are filtered out before scoring.Due to above filtering, a lot of the authors are NOT covered here. Full coverage would have yielded more than a few trillion records, and I don't have that much compute or disk.Details of the process: https://hn-buddies.stupidlabs.lol/about-data---You can also see who talks most about certain topic or keyword. For example,NSA: https://hn-buddies.stupidlabs.lol/?keyword=nsaTrump: https://hn-buddies.stupidlabs.lol/?keyword=trump---Global insights page: https://hn-buddies.stupidlabs.lol/insights---This also lets you uncover duplicate accounts. For example:1. "fdklhhjf" and "selamcan"2. "angkatoto" and "jalantoto"3. "Donnakravo" and "dommakravosec" and "kravossedonna" and "kravosdonna"
Enrichment
- Theme
- Hacker News clients, datasets, and tools
- Vertical
- Horizontal
- Function
- —
- Audience
- B2C
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- hacker news social network
- Manually corrected
- False
Could you build this?
Yes It computes TF-IDF similarity across publicly accessible Hacker News comment archives, which can be implemented with a basic Python data pipeline and simple web interface.
Discussion
10 comments analyzed.
Concerns raised: Missing authors due to computational limits (would create multi-trillion row dataset), Keyword-based matching instead of vector embedding similarity due to cost/compute constraints, Clustering less effective than projection at capturing separation, Term 'buddies' semantically incorrect for similarity matching
Feature requests: Add UMAP visualization, Include analytics alongside search functionality, Incorporate personality-based compatibility (temperament/MBTI types)
Competitors
Other products that read as similar to this one — 103 launches clear the similarity bar, closest 8 shown.
Attention rank: #82 of 104 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 240 days after the earliest competitor.
- 20 years of Hacker News discussions, clustered and visualized · hn · 2026-03-22 · 7 upvotes · similarity 0.54
- Show HN submissions have tripled since 2023 · hn · 2026-01-11 · 18 upvotes · similarity 0.52
- Hacker Atlas · hn · 2026-09-25 · 86 upvotes · similarity 0.52
- Hacker Smacker · hn · 2026-02-24 · 148 upvotes · similarity 0.51
- Hacker Backlinks · hn · 2026-02-06 · 6 upvotes · similarity 0.51
- How much of Hacker News is about AI? · hn · 2026-08-26 · 74 upvotes · similarity 0.46
- HN Hall of Fame · hn · 2026-07-22 · 219 upvotes · similarity 0.45
- Hacker News with AI stories filtered out · hn · 2026-08-03 · 52 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.