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Project Mosaic
Zero-install decentralized AI compute in your web browser
Project Mosaic replaces expensive centralized data centers with a browser-native decentralized AI compute grid. Using WebGPU, everyday consumer devices can collaboratively train and fine-tune foundation models on the edge with zero setup—no Python or CUDA drivers required. Key Features: • Zero-install WebGPU & Wasm fallback • 100% Zero-Leakage Edge Privacy • Gamified AI training via Retro Arcade
Hey Product Hunt community! 👋
I'm the founder of Project Mosaic. For the past few months, my team and I have been obsessed with one question: Why does training AI models still require multi-million dollar data centers and complex CUDA environments?
We built Project Mosaic to turn any browser into an active AI training node. Whether you are fine-tuning a small language model on your own documents or playing an arcade game while your browser computes micro-batches in the background, everything runs locally via WebGPU with complete privacy.
What you can try right now:
Click ⚡ Continue as Guest (no registration wall) to test in-browser fine-tuning.
Check your hardware compatibility across WebGPU, WebGL, and WASM.
Compare edge latency against frontier models in the A/B Battle Arena.
We would love your candid feedback on performance, latency, and device fallbacks. What should we add next?
Right now, the AI industry is running headfirst into a massive bottleneck: multi-billion-dollar data centers that burn city-scale electricity, cost $100M+ to build, and centralize everyone's private data. Meanwhile, billions of dollars of high-performance consumer silicon (Apple Silicon, RTX GPUs, modern NPUs) sit idle on our desks.
We asked a fundamental question: What if we could train massive foundation models across a decentralized swarm of everyday browsers instead of renting giant server farms?
Today, we are excited to launch Project Mosaic V1:
Zero-Install WebGPU: Train lightweight 4-bit LoRA parameter updates locally inside your browser with automatic Wasm fallback.
100% Zero-Leakage Privacy: Data stays in device memory; only scrambled mathematical parameter summaries leave the machine.
EcoMind Built-In Search: A sustainable search fallback that resolves out-of-domain queries without blowing up memory limits.
Gamified Compute (Arcade Hub): Anyone can contribute compute micro-batches simply by playing retro web games like Neural Super-Highway Racer.
We’d love to hear your raw feedback, stress-test results, and questions. I'll be hanging out in the comments all day to answer your technical questions about our WebGPU architecture! 🚀
About Project Mosaic on Product Hunt
“Zero-install decentralized AI compute in your web browser”
Project Mosaic was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #4 on the daily leaderboard. Project Mosaic replaces expensive centralized data centers with a browser-native decentralized AI compute grid. Using WebGPU, everyday consumer devices can collaboratively train and fine-tune foundation models on the edge with zero setup—no Python or CUDA drivers required. Key Features: • Zero-install WebGPU & Wasm fallback • 100% Zero-Leakage Edge Privacy • Gamified AI training via Retro Arcade
Project Mosaic was featured in Web App (123.5k followers), Artificial Intelligence (477.4k followers) and Tech (631.3k followers) on Product Hunt. Together, these topics include over 323k products, making this a competitive space to launch in.
Who hunted Project Mosaic?
Project Mosaic was hunted by Project Mosaic. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Project Mosaic