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Skim
A second pair of eyes on the papers you'll never reach
Keeping up with a field stopped being about access as papers ship by the thousand each week, and became about attention. Skim is a second pair of eyes on your reading queue: it walks the backlog while you work, scores each line against a reader profile you control, and surfaces only what matters to you: into your notes, linked back to PDF#page+line, a rare alert for the truly critical. You read deep where it counts and trust the triage everywhere else.
Hi Product Hunt!
Attention is the scarce resource: compute scales freely, a researcher's reading day does not. I don't trust a tool that reads the papers for me and hands back a verdict; that takes the one step I won't delegate. So Skim doesn't move judgment off your plate, it moves the read step off the critical path. It pre-walks the queue while you work and marks the lines that warrant a pause, in the open, with the call left to you.
That's the problem and it isn't summarizing the paper in front of you. Pasting a PDF into GPT or Claude already works for the one you've decided to read. The cost is the 100+ a week you'll never get to: the queue, not the PDF.
So Skim triages the queue, it doesn't summarize a paper. It walks your reading list while you work and scores every line against a small reader profile you keep in YAML. A line gets tinted in place, written to your notes (Obsidian / Notion / Markdown, deep-linked to PDF#page+line so checking it is one click), or rarely, ~2×/week earns an audio (mail) alert.
You don't need an invite to judge it: the demo runs live on the site right now. What it's NOT: a benchmark-chaser or a one-paper summarizer; where it's weak is written down (cold start, heuristic scorer): https://paperskim.org/why
Invite-only; request during launch day and you skip the line into this week's batch.
What I'd genuinely like feedback on:
1. Is triage-over-the-queue a real pain for you, or a nice-to-have?
2. Where would captures need to land to fit your workflow?
3. What would make the rare ~2×/week alert worth trusting?
Live demo + request: https://paperskim.org and I'll read every reply here.
One more thing for the architecture-minded: the session log is the interface: reading, triage, and execution decouple, so the log composes with autonomous agents downstream. The triage stays transparent; the judgment stays yours.
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About Skim on Product Hunt
“A second pair of eyes on the papers you'll never reach”
Skim was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #67 on the daily leaderboard. Keeping up with a field stopped being about access as papers ship by the thousand each week, and became about attention. Skim is a second pair of eyes on your reading queue: it walks the backlog while you work, scores each line against a reader profile you control, and surfaces only what matters to you: into your notes, linked back to PDF#page+line, a rare alert for the truly critical. You read deep where it counts and trust the triage everywhere else.
Skim was featured in Productivity (652.3k followers), Artificial Intelligence (469.3k followers) and Science (1.4k followers) on Product Hunt. Together, these topics include over 230.1k products, making this a competitive space to launch in.
Who hunted Skim?
Skim was hunted by Arina. 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 Skim stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Arina