PaperTrack
Know exactly who's reading your documents — page by page
What it does
PaperTrack is a secure document-sharing and virtual data room platform for teams who send sensitive documents. Instead of sending a file and hoping for the best, PaperTrack gives you page-by-page analytics on who opened your document, which pages they spent time on, and when they're viewing it live. Every link can be protected with a password, expiration date, dynamic watermarking, and NDA-gated access. PaperTrack also offers full data rooms with folder-level permissions and audit logs.
Know exactly who reads your pitch decks, proposals, and data rooms. Track views with page heatmaps, watermarks, NDA gates, and granular access controls.
PaperTrack brings page-by-page analytics, dynamic watermarking, NDA gates, and virtual data rooms to your pitch decks, proposals, and confidential files. PaperTrack is a secure document sharing platform that provides page-by-page reading dwell time analytics, dynamic recipient watermarking, click-through NDA gates, virtual data rooms, and granular access controls. Senders track exactly who opens shared documents, which pages attract the most attention, and prevent unauthorized distribution without compromising security. Power every step from first share to final signature, without losing visibility. Know when a document is opened, which pages get attention, and who is ready for the next…from papertrack.io
Does the same job
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com