Flick through an article too fast and Skim Recap hands the skipped passage back in a card beside your cursor. If a term stops you, select the word or phrase and press Feynman: Gemma uses the surrounding paragraph, nearby context, heading, and page title to explain what it means here. Everything runs locally through LiteRT-LM and WebGPU—no account or hosted LLM API.
Hi Product Hunt 👋
I built Skim Recap because I kept flicking past several screens of long articles, then wondering whether I had skipped the part that mattered. It detects a fast scroll and recaps exactly that skipped stretch beside your cursor—not the whole article and not everything above it.
The feature I’m happiest with in 0.4 is Feynman.
A recap is deliberately limited to what the passage said. That keeps it faithful, but it also means a recap cannot explain a term the page never defined. My first attempt simply re-explained the whole passage. It produced a longer recap, because the extension still did not know which word had stopped me.
Now you select a word or phrase—on the page or inside the recap card—and press Feynman. The selection becomes the subject. Gemma uses its paragraph, nearby context, the closest heading, and the page title to decide which meaning fits. “Argument” in a logic article and in a function signature should not receive the same explanation.
Also new in 0.4: recaps stop at a sensible number of points, Retry asks for a genuinely different expression, and the card runs in a shadow root so host-page CSS cannot restyle it.
Everything runs locally with Gemma 4 E4B, LiteRT-LM, and WebGPU. No account or hosted LLM API. The honest trade-off is a one-time 2.97 GB model download, plus WebGPU and substantial local disk/memory requirements.
I’d especially love feedback on two things: does the fast-scroll threshold feel natural, and does the Feynman explanation use enough context without becoming too long?
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About Skim Recap on Product Hunt
“Recaps what you skipped and explains where you get stuck”
Skim Recap launched on Product Hunt on August 18th, 2026 and earned 81 upvotes and 1 comments, placing #22 on the daily leaderboard. Flick through an article too fast and Skim Recap hands the skipped passage back in a card beside your cursor. If a term stops you, select the word or phrase and press Feynman: Gemma uses the surrounding paragraph, nearby context, heading, and page title to explain what it means here. Everything runs locally through LiteRT-LM and WebGPU—no account or hosted LLM API.
Skim Recap was featured in Chrome Extensions (52.8k followers), Productivity (659.4k followers) and Artificial Intelligence (477.2k followers) on Product Hunt. Together, these topics include over 287.9k products, making this a competitive space to launch in.
Who hunted Skim Recap?
Skim Recap was hunted by yui M. 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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yui M