PlanSync
Digital delivery for data centers — BIM to O&M
What it does
PlanSync is the digital delivery workspace for data centers: drawings, BIM, issues, RFIs, assets, and O&M in one place — from construction through handover. Free PDF viewer forever. 14-day Pro trial, no card required.
From BIM to operations — connect drawings, assets, commissioning, and O&M in one facility workspace for data-center delivery.
Drawings, BIM, assets, commissioning, and O&M in one workspace — from construction through handover. Built for owners, GCs, MEP, commissioning, and facility ops. Drawings, BIM models, equipment records, commissioning documents, inspections, and O&M information are often scattered across disconnected systems. Drawings, models, inspections, and equipment lists — PlanSync keeps them tied to the facility instead of buried in folders. PlanSync layers drawings, BIM, assets, commissioning, and operations into a single facility workspace. Every plan, revision, markup, and issue stays tied to its exact location. Bring IFC/BIM models into the same spatial context as drawings, systems, and assets.…from plansync.dev
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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.
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