This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
WikiCrawl
AI narrates how any two wikipedia articles are related
Hi. WikiCrawl is a pet project that attempts to describe how any two Wikipedia articles are related to one another by crawling through wiki links towards each other and extracting snippets surrounding the links in articles. 29/05/26: It's back. It's quicker. It's smoother. It now does what I had set out to do back in 2019. The AI narrative is here.
Completed a university assignment and then got curious about BFS being applied on Wikipedia. I wanted to have one functional non-CRUD website that did something. So I worked on it when I wasn't working and then I launched it in 2022. I wasn't happy with it and it was burning a hole in my pocket so I killed it. I recently found time to work on it and finally got to do the AI narrative thing I wanted to do back in 2019. So I'd say this is site is finally complete.
love the honesty. 'ish. it's still buggy' is the most relatable maker comment I've seen. the concept is fun though, wikipedia rabbit holes are already addictive enough without an AI narrating the path between them
About WikiCrawl on Product Hunt
“AI narrates how any two wikipedia articles are related”
WikiCrawl was submitted on Product Hunt and earned 3 upvotes and 3 comments, placing #67 on the daily leaderboard. Hi. WikiCrawl is a pet project that attempts to describe how any two Wikipedia articles are related to one another by crawling through wiki links towards each other and extracting snippets surrounding the links in articles. 29/05/26: It's back. It's quicker. It's smoother. It now does what I had set out to do back in 2019. The AI narrative is here.
WikiCrawl was featured in Education (78.7k followers), Artificial Intelligence (471k followers) and Data Visualization (3.6k followers) on Product Hunt. Together, these topics include over 130.2k products, making this a competitive space to launch in.
Who hunted WikiCrawl?
WikiCrawl was hunted by Pankaj Ahuja. 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.
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Pankaj Ahuja