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).
Turn any video into a clean, timestamped contact sheet that ChatGPT, Claude, Gemini, and other GGUF, MLX vision models can understand in one glance. Instead of uploading a video, Squish compiles the entire clip into a single image with timecodes, making it easy to ask questions, summarize events, debug UI recordings, analyze tutorials, or share stories with AI. Works entirely in your browser for the web app.
Hi everyone! I’m Wutty 😅
I kept running into the same problem: AI models are great at understanding images, but sharing an entire video with them is still awkward, expensive, or simply unsupported.
So instead of trying to make every AI understand video directly, I built Squish.
Squish compiles a video into a single timestamped contact sheet. You can paste that one image into ChatGPT, Claude, Gemini, or any vision model and ask questions about the whole clip.
It started as a personal tool for debugging screen recordings and sharing Stories/Reels with AI, but it quickly became useful for tutorials, bug reports, cooking videos, DIY projects, and many other workflows.
I’d love to know:
* What would you use it for?
* What’s missing?
* Which AI workflow should Squish integrate with next?
Thanks for checking it out!
Ran a 12 minute screen recording through it and ChatGPT picked up the flow without me splitting the file, which saved a ton of back and forth. Really nice that it stays in the browser.
About Squish on Product Hunt
“Turn any video into one AI-ready image.”
Squish was submitted on Product Hunt and earned 4 upvotes and 3 comments, placing #159 on the daily leaderboard. Turn any video into a clean, timestamped contact sheet that ChatGPT, Claude, Gemini, and other GGUF, MLX vision models can understand in one glance. Instead of uploading a video, Squish compiles the entire clip into a single image with timecodes, making it easy to ask questions, summarize events, debug UI recordings, analyze tutorials, or share stories with AI. Works entirely in your browser for the web app.
Squish was featured in Productivity (655.7k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 325.1k products, making this a competitive space to launch in.
Who hunted Squish?
Squish was hunted by Natthawut P.. 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 Squish stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Natthawut P.