RoleTect
The unified command center for researchers & job seekers
What it does
Ditch massive multi-gigabyte software installs and invasive platforms. RoleTect is a fast, lightweight workspace to build, edit, and compile documents directly on your device. Ingest job posts in one click with our browser extension, tailor resumes and cover letters using your choice of AI, and get instant job-match scores without token fees. Enjoy fast on-device document compilation, total privacy, zero data tracking, and direct backups to personal cloud storage with zero telemetry hassles.
RoleTect is an ultra-lightweight (< 50MB) on-device LaTeX IDE, AI career workspace, and VPS command center. Features embedded Tectonic compilation with zero 5GB+ TeX Live bloat, 1-click browser ingestion, and local cryptographic vaults.
The unified command center and companion browser extension for precision job ingestion, folder-based document workspaces, synchronized LaTeX resume & cover letter tailoring, and direct client-to-S3 / VPS cloud backups —executed with zero telemetry. 📢 The command center will soon be source-available for public inspection & verifiable security audits. Never lose your data. 1-click snapshot & restore to AWS S3, Cloudflare R2, MinIO, Wasabi, or Backblaze B2. 55% Skill Jaccard + 35% TF-IDF Cosine similarity. Zero network calls, zero API token costs. Multi-document workspaces for master LaTeX resumes and synchronized cover letters with local disk control and direct S3 cloud backups. Ultra-light…from roletect.tech
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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