hacker-ai.com uses machine learning to predict the success of Hacker News post titles. If you're uncertain about what title to use, trust statistical mathematics! Pre-test your "Show HN" titles and increase your chances of hitting high points in Hacker News.
@uvic sorry to hear that. I use this tool whenever I just can't make up my mind which title to use. It's better to use data than to rely on bare guessing.
btw. I like the idea in PRA. Coding is not my strongest skill so technical implementation is a bottle-neck for me always. Hope you get crowd to that platform
We always use this method to optimize our HN posts when we are unsure about which title to choose. Now we decided to create a UI so others can use it as well. The algorithm is currently able to guess 60% of the times correctly. We are continuously developing the algorithm, but it is already better than a random guess. Try it out and tells us what you think!
@ihmissuti Congratulations on the launch!
You might be also interested in this need gap - 'A/B test social media posts without posting' - https://needgap.com/problems/174... posted on my problem validation platform.
TITLE A: Someone should sell this- Montessori toys [4% better]
TITLE B: How you can earn $46k/M selling Montessori toys
Tried it for one of our ProdcutByte products, lets see what happens!
Will definitely give it a try the next time I post to HN. Tried out a few variations on my last HN post and pretty much every alternative scored much better than what I used.
And that post did really poorly, so guess I should test more ideas first!
The web-ui you built around the ML prediction algorithm is really nice. Simple and clean.
Very cool technology. Looking forward to perhaps expanding it to ProductHunt :). Would love a tool to let me know if my upcoming launch title and post is catchy. Congrats on the launch!
Hacker-AI updates! I've added Product Hunt as a channel! So now besides Hacker News, you can pretest your Product Hunt taglines and description texts before submitting your products here ;)
The prediction models are now updated with new data regularly, and the Hacker News algorithm has an update that improved its accuracy (from approx. 60% -> 70%) in guessing the winning title.
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