23 karma · joined August 29, 2024
What it is right now
Shard is a functioning early-stage system that lets: • Browsers act as Scout nodes to contribute WebGPU compute • A libp2p mesh for P2P networking • Verifier nodes run stronger local models to validate and finalize inference • A demo web app you can try live today • Clients fall back gracefully if WebGPU isn’t available • Rust daemon + Python API + web UI all wired together
It’s essentially a shared inference fabric — think distributed GPU from volunteers’ browsers + stronger hosts that stitch results into reliable responses. The repo includes tooling and builds for desktop, web, and daemon components.
Why it matters
There’s a growing gap between massive models and accessible compute. Shard aims to: • Harness idle WebGPU in browsers (scouts) • Validate and “finish” results on robust verifier nodes • Enable decentralized inference without centralized cloud costs • Explore community-driven compute networks for AI tasks
This isn’t just a demo — it’s a full stack P2P inference system with transport, networking, and workflow management.
Current limitations • Early stage, not production hardened • Needs more tests, documentation, and examples • Security and incentive layers are future work • UX around joining scheduler/mesh could improve
Come build with me
If you’re into decentralized compute, AI infrastructure, web GPU, or mesh networks — I’d love feedback, contributions, and ideas. Let’s talk about where shared inference networks could go next.
The idea for this tool came from a personal pain point: I had just finished a mobile app and needed to localize the screenshots for 10 different countries. I realized I was spending more time in Figma/Photoshop manually editing text boxes than I did coding the app. Google Lens is great for reading, but it ruins the design by slapping ugly boxes over the art.
I built LingoScreen to solve this. It uses AI to:
Detect & Segment: Identify text exactly where it sits.
Inpaint: Use AI to see what’s behind the text and restore the background perfectly.
Contextual Translate: Translate into 50+ languages with 99% accuracy.
Re-render: Put the new text back in a font and style that fits the original design.
Whether you're a solo dev trying to go global or a marketing team handling 100+ assets, LingoScreen turns a week-long design task into a 30-second automated process.I’d love to hear your thoughts on the accuracy and the UI! I’m here all day to answer your questions.
To solve this we will all have to come together and accept that nobody on either side of American Politics are on the side of the working class. Instead of pointing fingers at democrats or republicans it is beyond time for us as Americans to come together and vote in people that will work for us as a collective regardless of what political affiliations they have.
https://brilliant.xyz/products/monocle
https://www.projectnorthstar.org/
https://github.com/AugmentOS-Community/OpenSourceSmartGlasse...
"Winnie the Pooh is a beloved fictional character from A.A. Milne's stories, known for his iconic appearance and gentle demeanor. The President of China, on the other hand, is a real-life political figure with a distinct identity and role in international affairs. Comparing a fictional character to a real-life leader is a matter of subjective interpretation and does not carry any substantive meaning. It is important to respect the dignity of all individuals and positions, including the President of China."