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I built a tool that helps predict HN front page success

Details

External ID
47996094
Source
HN
Company
—
Product
I built a tool that helps predict HN front page success
Website domain
wannalaunch.com
Launched
May 3, 2026
Cohort
—
Upvotes
26
Upvotes percentile
0.778675282714055
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hey HN community,I built a tool that helps optimize your post for hitting the first page of Show HN.How it works: I used a Hugging Face dataset of all Hacker News posts from the past 3 years and trained a model that predicts how successful your post might be. There's still a lot of randomness on HN, so nothing is guaranteed, but the tool helps optimize your post for higher odds.A couple of interesting findings:- GitHub repo links work x3 better than regular domains - Open-source tools have a steady virality rate (13.9% - one of the highest) - "I built" outperforms "We built" - Using parentheses and mentioning technologies (Lua, Postgres, Rust, etc.) helps a ton.You can try the tool at wannalaunch.com or read the blog posts for more insights from the analysis. The model is also available as open source if you want to retrain it or look under the hood.Happy to hear the feedback!

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
predictor for hacker news front page
Manually corrected
False

Could you build this?

Yes The product analyzes post headlines/timing against a public Hugging Face dataset of HN posts using a standard pre-trained NLP/regression model accessible via a web UI wrapper.

Discussion

20 comments analyzed.

Concerns raised: Random factors make prediction unreliable despite model, LLM trend overcrowded /show with submissions, Shadowbanning and domain-related moderation issues, Success metric ambiguity (frontpage visibility vs. meaningful feedback)

Feature requests: Add parenthetical suggestions to title recommendations, Factor current event trends into predictions, Distinguish between frontpage metrics and discussion quality

Competitors

Other products that read as similar to this one — 147 launches clear the similarity bar, closest 8 shown.

Attention rank: #41 of 148 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 179 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.