AI-driven wiki aggregator created to enhance user experience on Wikipedia by streamlining knowledge consumption. Add timelines, top questions, and chat to every Wikipedia article, customize every design aspect, and make Wikipedia your own!
Streamline Wikipedia knowledge and answer your questions
AI-driven wiki aggregator created to enhance user experience on Wikipedia by streamlining knowledge consumption. Add timelines, top questions, and chat to every Wikipedia article, customize every design aspect, and make Wikipedia your own!
👋 Hello Product Hunters! I'm Tomer Lerner, creator of Wikiwand Wikiwand was founded over a decade ago (crazy!) by @liorgrossman and Ilan Lewin. I joined as the first employee to design and help with client-side development. Initially, we focused on enhancing Wikipedia's UX, which, at the time, lagged behind most web products. It was a huge success, with most users arriving via our Chrome extension. The challenge was to find effective ways to monetize and continue improving the product. We eventu
Huge congrats to the Wikiwand team on today's launch! I just played around with Wikiwand and loving how it tidies up Wikipedia - the added timelines and top questions are genius! Quick question: Are there plans to integrate Wikiwand with other online knowledge bases (e.g. Wiktionary, Wikiquote) for an even broader research experience?
It's amazing to see how far Wikiwand has come! This new version is a real game-changer and a whole new way of learning any topic. Amazing work @tomerlerner
@tomerlerner You did an amazing job, this is several levels up
your UI is great and it's so performant. Very pleasant experience to use. I'm going to have to try it more in practice to see if I can get value out of the AI features but its very promising 🔥
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.