iFinD Data Recovery
Fast, lightweight Windows data recovery for SSD, HDD & SD
What it does
iFinD is a lightweight Windows C++ data recovery tool engineered for deep sector carving. Recover deleted files, RAW partitions, and lost photos from SSDs, HDDs, USBs, and camera SD cards. Includes 1GB free recovery and instant file preview.
Recover deleted files, photos, and videos with iFinD Data Recovery. Free Windows data recovery software for HDDs, SSDs, USB drives, SD cards, and lost partitions.
iFinD Data Recovery is a free Windows data recovery software that helps recover deleted files, photos, videos, and documents from HDDs, SSDs, USB drives, SD cards, and formatted partitions. iFinD Data Recovery is one of the best free-to-use data recovery software on the market, delivering enterprise-grade recovery capabilities . Whether your files were lost due to accidental deletion, partition damage, OS reinstallation, or unknown system errors, it restores your data without any quality loss — making it a reliable data recovery software for both home users and IT professionals. From unrecognized USB flash drives to corrupted SD cards and external hard drives, iFinD's advanced scan engine…from ifind-recovery.com
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Open-source GTM skills for technical founders
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OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.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 · 17d ago · simedw.com