Hacker-AI

Hacker-AI

A/B test your HackerNews titles with AI before publishing

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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.
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Launch tags:
Productivity•Analytics•Marketing
Launch Team

What do you think? …

Uvictor
It would be nice if it suggested titles....😉 ...I will be launching tomorrow ...I will let you know how it goes....if you want
Kimmo Ihanus
Maker
@uvic got that right ;) maybe on next iteration.. good luck on your launch and let me know how it went
Uvictor
@uvic @ihmissuti unfortuantely it didn't get any traction..that might be bcoz of the product though..cool product will be using it again...
Kimmo Ihanus
Maker
@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
Uvictor
@ihmissuti bro thnx...
Kimmo Ihanus
Maker
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!
Abishek Muthian
@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.
Kimmo Ihanus
Maker
@ihmissuti @heavyinfo definitely! Commented that one in your platform.
Hamza Nouali
Nice product Kimmo, I'll give it a real test on HN. Thank you!
Kimmo Ihanus
Maker
@hamza__nouali Thanks! Let me know how it works. There's already good feedback on improving the prediction model by eg. adding readability scores to the algorithm. So I'm extremely happy to hear any experiences and then tweak it accordingly.