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dotdotduck
Turn your existing site into an AI-native site
Your site already works. Turn your existing site into an AI-native site. No jarring sidebar, no clunky AI integration — your original interface stays, while the user experience gets better. For developers and PMs, in three lines — - Command Palette & Voice: power-user tools at your fingertips - On-Page Agent: operates the page, not a chat box - Inline AI & Long-Press: help on selected text Every interaction becomes a clean signal of user intent. One SDK. Your interface, unchanged.
Hey Product Hunt, I'm Kuei, co-founder of dotdotduck — and we're relaunching.
There's a new demo video at the top of the page. If you've got a minute, watch that first; it shows the whole thing end to end.
When we first posted, one line did all the work in the comments: clicks tell you what happened; intent signals tell you what the user wanted to happen.
Analytics stops at the click. We're trying to capture the gap between what someone intended and what they actually did — every accept, reject, hesitation, and dead-end — as a structured signal.
The rest is deliberately boring. Instead of bolting a chatbot to the corner, we leave your interface exactly as it is and let AI work inside it: a command palette, an on-page agent that operates the real page, inline AI on any selection, voice, and long-press.
Our take on trust: it doesn't come from replacing your UI with AI; it comes from letting AI work inside an interface people already understand. So every agent action asks for approval first — it can do most of the work, but the last step stays with you — and every rejection becomes another signal showing where it misread you.
To be straight about where we are: we're observing behavior, not claiming proof. We treat these signals as research inputs, not validation. The hard part was never collecting them — it's knowing which ones actually mean something before they're allowed to steer a roadmap.
That last part is where I'd genuinely love your thinking:
🔍 Signal vs. noise: UI-level intent capture can produce a flood of data. Where's the line between a signal that's truly actionable and noise dressed up as insight?
🤝 Making value legible: Behavioral capture only feels fair when the payoff is visible. How do you connect "I was observed" to "this got better" for the user, not just the team?
🕹️ Recovery and trust: When an agent operates the real page, where should the human-in-the-loop line sit — approve before, interrupt during, or undo after? Does asking for approval kill the magic, or build it?
📐 The shift itself: If AI becomes part of the interface, do buttons and dashboards start to matter less — or more?
Want to feel it rather than read about it?
Open the demo, hit Ctrl/⌘+K, and run /introduce. Then select some text for Inline AI, or hold Space to talk to the agent. (If it ever feels underwhelming, it's almost always because /introduce got skipped — that flow builds the history the dashboard reads.)
We're proudly open source (AGPL-3.0). Fork it, break it, or open an issue on GitHub — we read every single one.
Thanks for checking out dotdotduck!
About dotdotduck on Product Hunt
“Turn your existing site into an AI-native site”
dotdotduck was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #85 on the daily leaderboard. Your site already works. Turn your existing site into an AI-native site. No jarring sidebar, no clunky AI integration — your original interface stays, while the user experience gets better. For developers and PMs, in three lines — - Command Palette & Voice: power-user tools at your fingertips - On-Page Agent: operates the page, not a chat box - Inline AI & Long-Press: help on selected text Every interaction becomes a clean signal of user intent. One SDK. Your interface, unchanged.
On the analytics side, dotdotduck competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how dotdotduck performed against the three products that launched closest to it on the same day.
Who hunted dotdotduck?
dotdotduck was hunted by Kuei-Tien Lin. 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 dotdotduck including community comment highlights and product details, visit the product overview.