Point your AI agent at any website. Get back a complete design breakdown — colors, type, spacing, and the reasoning behind every decision — ready to use in your next build.
Hi Product Hunt!
I built Taste Lab after hitting the same wall repeatedly: telling Claude "build this in the style of that site" and getting something that was technically close but clearly not it. The proportions were off. The spacing felt arbitrary.
The problem wasn't capability. It was the language I was giving the agent. Tokens say what a design is. Taste adds the why: the trade-offs that explain each specific decision.
The pipeline bans phrases like "clean and modern" entirely. If a principle could have been written without ever seeing this specific site, it gets deleted.
I'd love to know what site you run it on first!
This is exactly the kind of thing I wish existed when prompting AI builders with “make it feel like this site.” The focus on taste over tokens is sharp.
This hits a real pain. Telling an AI agent to build "in the style of X" almost always loses the spacing and type scale. The clever part is capturing the reasoning behind each design choice, not just the raw tokens. Can it export to a Tailwind config or design tokens I can drop straight into a build? Congrats on shipping.
Websites are becoming increasingly animated, how does it captuer animations styles? and unconventional animations?
Love the concept. Have you experimented with analyzing entire product ecosystems rather than individual pages? I'd be curious to see how Taste Lab handles consistency across marketing sites, product dashboards, and mobile experiences. 🤔
I like that Taste Lab explains the reasoning behind visual choices, not just colors and fonts. For AI-built frontends, that context could help avoid generic-looking pages. Would be interesting to see how it handles sites with several design systems.
I really liked ur idea,. But the logo is really not great. Please find ways to improve using product but not negatively attracting with logo
The part I'd try first is running this on a messy personal portfolio, then using the breakdown as a prompt for a redesign instead of starting from a blank style guide. I like that it tries to explain why the spacing and type choices work, not just list tokens. Does Taste Lab keep a reusable brief/history for a site, or is each scan meant to be a fresh one-off export?
Had a friend who put me on to taste lab to extract specific components and it was super helpful, thanks for the software going to be putting my boys into it that are in the space for sure.
@sunlinsen Congratulations, I like that this focuses on the reasoning behind the design, not just extracting colors and fonts. For AI-built interfaces, understanding why a layout works is much more useful than copying surface-level style tokens.
Love this! Which coding tool integration with Taste Lab do you recommend the most? Which one do you enjoy using?
Congrats on the launch. The idea of extracting a website’s design DNA is interesting, especially for people trying to improve their landing pages.
Are you mostly targeting designers right now, or founders who want to improve their own product pages?
very cool idea! does it capture interaction and motion too (transitions, easing), or is it focused on the static layer for now?
About Taste Lab on Product Hunt
“Extract any website's design DNA”
Taste Lab launched on Product Hunt on June 14th, 2026 and earned 353 upvotes and 25 comments, earning #2 Product of the Day. Point your AI agent at any website. Get back a complete design breakdown — colors, type, spacing, and the reasoning behind every decision — ready to use in your next build.
Taste Lab was featured in Design Tools (260.6k followers), Artificial Intelligence (471k followers) and Vibe coding (517 followers) on Product Hunt. Together, these topics include over 139.1k products, making this a competitive space to launch in.
Who hunted Taste Lab?
Taste Lab was hunted by Sen 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.
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Sen Lin