kre8or: Design, build, and launch faster
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What it does
Discover how it works and try it today at kre8orreview.com Hey Product Hunt! We are thrilled to introduce Kre8or AI, a unified visual workspace engineered to break the boundaries between professional AI generation and the creator economy. No more jumping between isolated design tools. Kre8or combines advanced text-to-image generation, community-driven remix culture, and direct financial rewards into a single, content engine built for founders, marketers, game developers, and artists.
Independent Kre8or Resource Center Honest reviews, practical tutorials, detailed comparisons, pricing guides, and real-world workflows to help you choose…
Honest reviews, practical tutorials, detailed comparisons, pricing guides, and real-world workflows to help you choose confidently and create better AI images. Follow a clear learning roadmap from complete beginner to confident creator. Explore the platform’s features, strengths, limitations, and ideal users. Compare plans, credits, storage, commercial rights, and overall value. Learn Studio, Workshops, prompts, image refinement, and creative workflows. Compare Kre8or with Midjourney, Leonardo, Firefly, Canva, and more. Discover practical workflows for business, marketing, eCommerce, and content. Skip the confusion and learn in the right order. Begin with the review, understand pricing,…from kre8orreview.com
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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.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Run Qwen3.8-Flash-Next (125B MoE, 104 GB at 4-bit) on Macs with a fraction of that RAM by streaming experts from SSD. MLX + Swift, Ollama-compatible API. - carloslfu/slotstream
Dev tools · 4d ago · github.com
NPC-Forge is a framework for building conversational agents that run on the CPU without relying on machine learning or LLMs. - NPC-Forge/docs/development.md at main · gioblu/NPC-Forge
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I made OwnTime to balance between competing priorities in my life. The idea is based on two main influences: the concept of "roles" from "The 5 Choices" (2015), and my repeated failure to effectively implement time blocking due to the necessary flexibility in my role. The app allows you to define time budgets, which are not much more than a few mutually exclusive countdown timers. The UX is essentially that of a chess clock for an arbitrary number of players with configurable time. The whole point of the app is to kick you out of the running role/priority when its time is up. One…
Life & fun · 4d ago · owntime.app