Workfry | Global Expertise Marketplace
Expertise Meets Opportunity
What it does
Workfry is a global professional expertise marketplace that directly connects enterprise leaders and businesses with specialized consultants, execution partners, and domain experts. Spans AI transformation, cloud architecture, cybersecurity, corporate strategy, chemical formulation, and industrial engineering. Facilitates direct collaboration using clear project briefs, milestone governance, and transparent budget structures.
Connect with specialized consultants, specialists, and multidisciplinary execution partners across technology, engineering, operations, strategy, and industry on Workfry.
Connect with consultants, specialists and multidisciplinary execution partners across technology, engineering, operations, strategy and industry. We specialize in connecting high-intent enterprises with vetted specialists who solve complex formulation, industrial engineering, and modern digital challenges. End-to-end technical formulation, pilot scaling, shelf-life validation, thermal process profiling, and regulatory compliance for packaged consumer goods. Detailed Project Reports (DPR), cleanroom architecture, process piping, equipment layout optimization, Lean Six Sigma, and vendor qualification. Enterprise multi-agent swarms, customized RAG architectures, predictive maintenance…from workfry.com
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.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