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Dev tools · May 3, 2026

IB

I built a tool that helps predict HN front page success

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…

I built a tool that helps predict HN front page success launched on May 3, 2026 with 26 votes, #847 of 20,538 launches that month and more than 95% of that year's launches.

Visit wannalaunch.com ↗Alternativestop 4% of May 2026

In plain words

This tool helps creators optimize Hacker News posts for frontpage success using a machine learning model trained on three years of HN data. It analyzes post elements like links, language, and technologies to predict engagement likelihood. The creator trained the model on a Hugging Face dataset and discovered that GitHub links significantly outperform other domains, open-source tools show strong virality rates, and certain phrasing choices improve performance. The model is available as open source for users who want to examine or retrain it.

written from the facts on this page · September 2026

From the sources

Predict how well your Show HN post will perform before you submit.

In the maker’s words, at launch

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…

Does a similar job

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