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).
Smack unleashes diverse AI personas on any URL - localhost, live site, or Figma prototype. They explore like real users, log every point of confusion and friction, debate their findings, and hand you a structured UX report. Distinct personas, distinct opinions, honest feedback - without the pesky humans.
Getting feedback from real humans is painful and time-consuming. Most product and engineering teams don't even bother unless they really, really have to - so we ship on gut feel and find out what's broken from users (or churn) later.
I built Smack to close that gap. Point it at any local or public URL - or a Figma prototype - and it spins up a swarm of unique AI personas that actually navigate your product. Each one has its own background, goals, and tech-literacy, so they get confused in different places, hit different blockers, and form their own opinions. They even debate each other before a report agent synthesises everything into a structured UX report you can act on.
A few things I'm proud of:
🧠 Runs entirely on-device - your URLs, designs, and findings never leave your machine 🎭 Genuinely distinct personas - not one model's hot take five times, but real disagreement ⚡ Works on localhost - test builds before they're live
Call it vibe feedback if you like. 😄
Would love to hear what you'd point it at first - and what would make it more useful for your workflow.
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About Smack AI on Product Hunt
“Real opinions. Zero humans.”
Smack AI was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #103 on the daily leaderboard. Smack unleashes diverse AI personas on any URL - localhost, live site, or Figma prototype. They explore like real users, log every point of confusion and friction, debate their findings, and hand you a structured UX report. Distinct personas, distinct opinions, honest feedback - without the pesky humans.
Smack AI was featured in Design Tools (260.6k followers), Productivity (653.5k followers) and Artificial Intelligence (470.6k followers) on Product Hunt. Together, these topics include over 275.4k products, making this a competitive space to launch in.
Who hunted Smack AI?
Smack AI was hunted by Adiv Maimon. 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 Smack AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Adiv Maimon
Hey humans 👋
Getting feedback from real humans is painful and time-consuming. Most product and engineering teams don't even bother unless they really, really have to - so we ship on gut feel and find out what's broken from users (or churn) later.
I built Smack to close that gap. Point it at any local or public URL - or a Figma prototype - and it spins up a swarm of unique AI personas that actually navigate your product. Each one has its own background, goals, and tech-literacy, so they get confused in different places, hit different blockers, and form their own opinions. They even debate each other before a report agent synthesises everything into a structured UX report you can act on.
A few things I'm proud of:
🧠 Runs entirely on-device - your URLs, designs, and findings never leave your machine
🎭 Genuinely distinct personas - not one model's hot take five times, but real disagreement
⚡ Works on localhost - test builds before they're live
Call it vibe feedback if you like. 😄
Would love to hear what you'd point it at first - and what would make it more useful for your workflow.