Atlas Terminal
Radar for global supply chains
What it does
Atlas Terminal gives supply chain teams real-time intelligence on sourcing risks, tariffs, FX, and port disruptions. Scan any product → get global sourcing hubs, trade threats, HS codes, landed costs, and compliance checklists, instantly.
Real-time sourcing intelligence, tariff data, and geopolitical risk for procurement professionals. Know your supply chain before it fails you.
Run a scan above to identify global sourcing hubs and active risk factors. Indicative reference prices -- verify with exchangefrom atlas-terminal-tau.vercel.app
Does the same job
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- AAAtlas – A deployment pipeline platform built on Argo CD2022 · greenops.io · ▲66
Atlas is an open-source deployment pipeline platform built for cloud-native applications. Atlas allows users to: - Create continuous pipelines across all their environments and clusters - Add custom tasks/tests plugins (Python scripts, K8S manifests, Argo Workflows, environment setup, etc.) - Automatically rollback applications in case of failure or degradation (Atlas watches the application past the scope of a pipeline run to ensure and enforce stability) - Use all existing Argo features Would love to hear all of your feedback and thoughts on this!



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The app store for voice native apps that lives in your notch
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The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.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 · 16d ago · simedw.com