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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 görüntüleme • 6 gün önce
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 görüntüleme • 16 gün önce
MY Automation has ONE critical dependency: ME...
GitHub Projects Community48,120 görüntüleme • 18 gün önce
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 görüntüleme • 1 ay önce
One file, many faces. Generate media polyglots that morph between image, video, PDF, or ZIP!
GitHub Projects Community102,843 görüntüleme • 11 ay önce
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 görüntüleme • 2 ay önce
Most developers know how to ship a feature. Turning every release, demo, and product update into content people can quickly understand is a different job. Fetra AI is built for that second part. It helps teams turn product and brand context into short-form content, then plan, schedule, and publish it from one place. We tested Fetra AI with a sample brand, and two workflows stood out: • Blitz generates a stack of branded video concepts you can review and choose from, instead of starting with an empty prompt. • Viral Remix takes a short reference clip and a product image, then rebuilds the format around your own product. The video below shows that flow, from building the brand profile to generating new concepts and adapting product assets into short-form content. Fetra also includes AI UGC, content planning through Marco, scheduling, and publishing across nine platforms. The value here is less about promising virality and more about reducing the repetitive work between shipping something and turning it into clear, usable content. For indie developers, technical founders, and lean product teams, that can make the content side of building much easier to manage.
GitHub Projects Community11,484 görüntüleme • 28 gün önce
Most tools help you write, edit, or design in separate places. Felo takes a different approach with an intelligent canvas workspace where documents, slides, and collaboration all stay in the same space. It is positioned as an agent workspace for documents rather than a collection of isolated AI tricks. 🔗 | Felo AI (EN)
GitHub Projects Community60,187 görüntüleme • 9 ay önce
Search inside an agent workflow is different from search in a browser. A human can scan links, skip noise, and decide what is worth trusting. An agent needs cleaner context up front. We tested AnySearch inside a real agent workflow to see how structured, source-backed search changes the next reasoning step.
GitHub Projects Community11,839 görüntüleme • 1 ay önce
Automate your entire short video workflow with one engine.
GitHub Projects Community26,094 görüntüleme • 4 ay önce