Serverless SaaS BoilerplateHacker-AI - A/B test your HackerNews titles with AI before publishing | Product Hunt

Increase your chances of getting featured

on Hacker News and Product Hunt

A/B test your post titles and product descriptions with machine learning.

Title A
Title B

This prediction model is a combination of a pre-trained feed-forward neural network and a bag-of-words based NLP analysis. Its accuracy in our latest test is approximately 70% when guessing a winning title by using titles that resemble Hacker News style. We update the model with new data from Hacker News API monthly.

Meet the Developer

Ideas, questions, feedback? Don't be a stranger.


Kimmo Ihanus

Growth Hacker. Developer of Hacker-AI. Co-Founder at

Kimmo has over 10 years of experience helping all size companies and growth teams reach top results with AI and data. Kimmo has been using Hacker-AI's approach in various growth projects to make marketing teams more efficient and increase the impact of marketing messages.

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