TechbyJeel Tools
170+ free online tools for everyday digital tasks
What it does
TechbyJeel Tools is a growing collection of 170+ free online tools for everyday digital tasks. Compress images, merge PDFs, format JSON, generate CSS, work with colors, check SEO, calculate finances, and more - all from your browser. No installation or complicated setup. Built for developers, designers, creators, students, marketers, and busy professionals. We're launching on Product Hunt to get your feedback and discover which tools we should build next. 🚀
Free online tools for PDF, image, text, developer and SEO tasks. Compress images, merge PDFs, format JSON and more - no signup, no uploads, no watermarks.
TechbyJeel Tools is a growing library of free online tools that run entirely in your browser. Compress an image, merge a PDF, count words, format JSON or generate a QR code in seconds - with no signup, no upload and no watermark. Students, developers, designers, marketers and business owners use these tools every day to finish small tasks fast and keep their files completely private. Six focused collections covering the everyday jobs people search for. Shrink JPG, PNG and WebP files without visible quality loss. Beautify, minify and validate JSON with clear error messages. Add a text or logo watermark with full control over position and opacity. Calculate loan EMI, total interest payable,…from techbyjeel.com
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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.
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