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).
Wobbli is an open-source avatar for AI chat apps. It reads while an answer streams, celebrates when it lands and slumps when a source fails: 39 states, 191 animations, a face for every name. Design yours in the studio, then add it with npm or shadcn.
Hi Product Hunt, I'm Hendrik. I build AI tools for work, and for fun.
Every AI assistant I built had the same face: a spinner. Users couldn't tell whether it was searching, stuck or done. So I gave mine an avatar that acts it out. It reads while the answer streams, digs through data during a query, cheers when the answer lands and slumps when a source fails.
Wobbli is that avatar, open source:
39 states with five ways to act each, driven by the events your agent already sends
a face for every name, the same in every app
React, a web component, or any framework; a shadcn registry item
mouth, hands and opt-in holiday costumes, and it respects reduced motion
The faces come from Blobatar by Alain (MIT). Wobbli adds the states, the event machine and the studio.
Try this: drop your name, or your agent's, in the comments and I'll reply with its Wobbli. And tell me which state is missing: I'll build the most-asked ones this week.
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About Wobbli on Product Hunt
“An avatar that acts out what your agent is doing”
Wobbli was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #111 on the daily leaderboard. Wobbli is an open-source avatar for AI chat apps. It reads while an answer streams, celebrates when it lands and slumps when a source fails: 39 states, 191 animations, a face for every name. Design yours in the studio, then add it with npm or shadcn.
Wobbli was featured in Open Source (69k followers), Developer Tools (522.5k followers), Artificial Intelligence (482.9k followers) and GitHub (41.5k followers) on Product Hunt. Together, these topics include over 278.7k products, making this a competitive space to launch in.
Who hunted Wobbli?
Wobbli was hunted by Hendrik Kleine. 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.
Want to see how Wobbli stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hendrik Kleine
Hi Product Hunt, I'm Hendrik. I build AI tools for work, and for fun.
Every AI assistant I built had the same face: a spinner. Users couldn't tell whether it was searching, stuck or done. So I gave mine an avatar that acts it out. It reads while the answer streams, digs through data during a query, cheers when the answer lands and slumps when a source fails.
Wobbli is that avatar, open source:
39 states with five ways to act each, driven by the events your agent already sends
a face for every name, the same in every app
React, a web component, or any framework; a shadcn registry item
mouth, hands and opt-in holiday costumes, and it respects reduced motion
The faces come from Blobatar by Alain (MIT). Wobbli adds the states, the event machine and the studio.
Try this: drop your name, or your agent's, in the comments and I'll reply with its Wobbli. And tell me which state is missing: I'll build the most-asked ones this week.