ManageCrew
Construction management made simple.
What it does
ManageCrew brings construction teams daily work into one place. Manage projects, tasks, crews, daily logs, documents, schedules, and change orders without relying on WhatsApp, spreadsheets, or complicated enterprise Software. Built for small and growing construction teams, ManageCrew keeps project management simple, practical, and easy to use. This is our first Product Hunt launch, and we’re excited to hear what you think.
Manage jobs, crews, schedules, and daily logs in one simple place. Built for small commercial general contractors.
The simple, all-in-one platform for small commercial GCs to manage crews, logs, and projects without the enterprise software bloat. Simple tools designed for contractors, not software engineers. Maintain full operational control over all active commercial job sites. Track client details, site locations, project status, and recent daily logs from a unified dashboard built specifically for GCs. Empower foremen to submit detailed daily field logs with site photos in seconds. Standardize log submissions, capture crew counts, document material usage, and note site delays. Optimize labor deployment with a clean weekly calendar view. Schedule shifts, assign crew members to active projects, check…from managecrew.site
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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