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HackerSwipe
Discover Hacker News stories tuned to you in seconds
HackerSwipe turns Hacker News into swipeable cards so you can decide what is worth reading in seconds. Every story includes the main bullet-point takeaways, category, estimated reading time, and a match score. Stories you like are saved in a separate tab, and your feed keeps a mix of personalized, trending, and random picks so you still discover new topics. No signup required.
Hey everyone, I'm a CS Junior and I built HackerSwipe as a side project because I got frustrated opening Hacker News stories that sounded interesting from the headline, but turned out to be something totally different once I clicked.
The idea was to make HN feel a little easier to browse without losing the fun of discovering new stuff. So instead of just showing headlines, HackerSwipe turns stories into cards with short AI summaries, a match score, and an estimated reading time. If something looks interesting, you can dive in faster. If not, you move on.
A couple of things I cared about while building it:
- the feed adapts to what you actually read
- stories you like are saved in a separate tab
- the feed still keeps trending and random picks, so it does not get repetitive
- you can view your stats such as favorite categories and swipes
I tried to keep it lightweight and useful rather than overcomplicating it. You can try it with no signup, and I would really appreciate feedback on whether the summaries help, whether the recommendations feel accurate, and what would make it more interesting/useful.
Thanks for checking it out!
About HackerSwipe on Product Hunt
“Discover Hacker News stories tuned to you in seconds”
HackerSwipe was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #123 on the daily leaderboard. HackerSwipe turns Hacker News into swipeable cards so you can decide what is worth reading in seconds. Every story includes the main bullet-point takeaways, category, estimated reading time, and a match score. Stories you like are saved in a separate tab, and your feed keeps a mix of personalized, trending, and random picks so you still discover new topics. No signup required.
On the analytics side, HackerSwipe competes within Productivity, Artificial Intelligence and Community — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how HackerSwipe performed against the three products that launched closest to it on the same day.
Who hunted HackerSwipe?
HackerSwipe was hunted by Pranav Sethia. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of HackerSwipe including community comment highlights and product details, visit the product overview.
Pranav Sethia