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MY Automation has ONE critical dependency: ME...
GitHub Projects Community48,267 views • 2 months ago
Looking for one particular file in a library containing years of photos, videos, screenshots, documents, and project files can be a nightmare. MUZIM by MUZIM by OpenSoul approaches this differently. It understands the content itself, so you can search based on what you actually remember. The interesting part starts when remembering the moment is enough: 👇
GitHub Projects Community46,085 views • 2 months ago
One finding getdesign.md 's The State of DESIGN.md 2026 stood out: 37.5% of web builder and app platform users want to leave and rebuild with Claude, Gemini or ChatGPT. Even for Lovable, v0 and Bolt, it’s roughly 1 in 3. Based on 65K+ onboarding responses ↓
GitHub Projects Community56,413 views • 3 months ago
AI API costs rarely break the budget all at once. They grow with every model, agent loop, retry, provider account, and bill. puts 50+ text, image, and video models behind one OpenAI-compatible API, with market rates typically 30–70% below official list pricing.
GitHub Projects Community21,915 views • 1 month ago
GPT-6 Astra can already plan, code, and build. The more interesting question is what happens when it can call a dedicated 3D tool at the exact moment a project needs an asset. So we connected Hyper3D Rodin MCP and asked Astra to build an interactive Solar System Explorer. Astra handled the app logic and integration. When it needed 3D models, it called Hyper3D Rodin directly. Hyper3D Rodin generated the required assets, and Astra brought them back into the project and continued building from there. That is where the workflow gets useful. Instead of stopping to search for assets or creating them manually, Astra can keep moving while Hyper3D handles the specialized 3D generation, with more control over the output and assets that are easier to integrate into the final project. The result is a browser-based solar system where the generated 3D models are part of the actual experience, not just outputs sitting in a model viewer.
GitHub Projects Community11,097 views • 1 month ago
Mini AI video models usually come with an obvious tradeoff. You get faster generation and lower cost, but the output often starts to look compromised: weaker motion, softer details, flatter lighting, and less cinematic control. So we tested Dreamina Seedance 2.0 mini side by side against Dreamina Seedance 2.0 to see how much of that tradeoff actually shows up in the final render. Officially launched by ByteDance's official product Dreamina: Dreamina Seedance 2.0 mini! Delivers on-par performance with Dreamina Seedance 2.0, but at a lower cost and faster speed.
GitHub Projects Community26,029 views • 3 months ago
