Show HN: Hacker-AI chose this title

Thanks for testing! I'll write a description of how it makes the predictions and add it to the tool.

But in short, it uses a machine learning model that I trained with a dataset that contains all stories and comments between 2006 and 2017: https://www.kaggle.com/hacker-news/hacker-news

I've tested various approaches, and currently, the algorithm takes the title as an input and transforms it into an array of numbers between 0 and 1 (each character is a number). Then I give these arrays to the machine learning model (brain.js feed-forward neural network) and the number of scores as an output. After learning and iterating over the data, it spits out the prediction model that I can use to predict the outcome of different title variations.

I've tested the algorithm with approx. 10.000 posts and it has been able to predict 60% of the cases correctly. So, it's not perfect yet, but I use this method in a situation where I don't have any experience of which type of title would work + I don't have time to do "proper" pre-testing.

Thanks for the feedback and glad to hear you like it! I'll add the predicted number of points to the UI. That's a good addition imo as well.

The predicted number of points are now displayed in the UI.

With ”Biden sucks” you could expect something more interesting in the context of hackernews. ”Trump sucks” is something so obvious and whole heartedly agreed in hn that it is a blasé/tldr. :)