... Kubernetes, Terraform, Nginx, Redis, PostgreSQL, SQLite, Figma, Notion, Linear, Jira, Slack. COMPANIES & LABS WE WANT AT THE TABLE: OpenAI, Anthropic, Google DeepMind, Microsoft, Meta AI, xAI, Moonshot AI, NVIDIA, Mistral AI, Cohere, Stability AI, Midjourney, Runway, ElevenLabs, Replicate, HuggingFace, LangChain, Vercel, Cloudflare, Stripe, Shopify, Notion, Linear, Figma. FOR CONTRIBUTORS: Verified dev badge. Tiered system access. Fair credit/revenue distribution. Owners, devs, superusers, archival users everyone gets a seat. Distributed. Transparent. Actually fair. FOR BACKERS / SPONSORS: ~$500 2K/mo covers Render ...

... your AI project open source on GitHub or HuggingFace? I'm building a feature that lets maintainers claim their project on opensourceai.tech to keep information up to date and help more developers discover it long after launch. Would you use it? What features would you expect as a maintainer ...

... providers improved the economics, but we still had to choose between speed, cost, and capability. So we asked: why keep optimizing around compromises instead of designing for the actual problem? Metis is trained from scratch and open-sourced on HuggingFace. That freedom lets us explore efficient architectures larger labs may consider too experimental. With Metis-1.6, we re also preparing a paper on our new MoRE architecture, Mixture of Recursive Experts. Without getting too technical, MoRE combines sparse expert ...

... then? :) Comment from Sleek Zheng(@sleekzheng): My current 5 as a developer: 1. Codex - for coding, refactoring, and exploring unfamiliar codebases 2. GitHub - source of truth for everything I ship 3. Cloudflare - hosting, workers, DNS, and quick experiments 4. HuggingFace - A hub for the world's cutting-edge models. 5. Product Hunt - mostly for seeing how makers explain products in one sentence The pattern for me: the best tools reduce context switching, not just task time. Comment from Chloe ... ... more than enough for all text operations .. my top 5 stack is: - Figma, Framer, Affinity (for design) -

... just shipped the first feature for oneInfer-edge and it's open source. Ever copy a HuggingFace model ID, spend 2 hours setting things up, and then watch it fail because your VRAM was off by a few GB? Yeah. We've all been there. oneInfer-edge now tells you if your machine can run any

... just shipped the first feature for oneinfer-edge and it's open source. Ever copy a HuggingFace model ID, spend 2 hours setting things up, and then watch it fail because your VRAM was off by a few GB? Yeah. We've all been there. oneinfer-edge now tells you if your machine can run any

... Labs. I started building InfraOne because I kept seeing the same things like everyone students, engineers, and developers were curious about AI, but got literally stuck before they could even actually try anything. They would find a model on HuggingFace or github or from friends, follow steps from ChatGPT or Gemini, and then spend hours dealing with Python versions, PyTorch, CUDA, dependencies, GPU issues, or setup errors. like a war with dependencies and then give up ...... Most people ...

... days ago, we released our Qwen3-TTS-Streaming-ONNX repository. Today, it has already passed 750+ downloads on HuggingFace , and people are still downloading it every day. Honestly, it s exciting to see growing interest around the real-time voice AI technology we re building at VertoX . Especially because this is still an early version, and we have many more updates coming. Right now, a lot of work is happening behind the scenes around streaming speech translation, low-latency ...

... Fine-tuning AI models is still way harder than it should be. Every time I tried, I had to: - find datasets - clean messy data - write training code - debug notebooks - deal with GPUs Even with tools like HuggingFace or Colab, it s still frustrating. So I built something for myself: Miniclay AI. The idea is simple: You describe the model you want, and it handles everything. finds datasets cleans data (this is the hardest part) runs the training pipeline gives ...

... visibility first. Here s what I ve been shipping recently: Added an AI Storage category (shoutout to Takahito Yoneda for the idea ) (this one was long overdue tbh) Detects local models and ML caches from tools like Ollama, HuggingFace, Whisper, PyTorch Support for custom AI storage paths so non-standard setups don t get missed 30 40% faster scans especially noticeable on heavier setups A dedicated Code Editors category

... embeds, all that) and combine it with the local AI chat experience of LM Studio in one app. So you can: - Organize notes, images, audio, and video in a local vault - Search and download open-source GGUF models from HuggingFace right inside the app - Load a model and chat with it 100% on-device, no API keys, no cloud - Use your notes as context for the AI, or let it edit your files directly with agent mode (with undo/approve ...

... about moving fast from idea to production without getting stuck on infrastructure. A simple stack that works well: Frontend and Backend: @Google Antigravity , @Cursor , @Claude Code Databases and RAG: @Pinecone Cloud and DevOps: Bult.ai LLMs: @OpenAI , @Google Gemini, @HuggingFace , @Ollama Bult.ai handles deployment, infrastructure, SSL, domains, scaling, and CI CD, so you can focus on building the product, not managing servers. Curious what stacks other vibe coders are using ...

... attempt to make AI resources a bit more organized and accessible - kind of like having a personal AI newsletter that actually gets read. What started as a way to keep track of interesting AI developments from huggingface spaces for myself has turned into this little corner where I curate bite-sized AI content. No grand ambitions here, just trying to make the overwhelming world of AI a bit more digestible one byte at a time. Would love to hear ...

... free picture to my deck/slides. @Figma yes for the UI/UX apps dev. @AskYura for my business chatbot (helps a lot for ticketing and interactive FAQ). @Reddit my go-to social media platform to exchange news/info/tips. Lastly, @Qwen 2.5 @HuggingFace @v0 by Vercel for vibe coding. Comment from EW(@ez_wez): @rohanrecommends  kudos for this list! (As a new AI learner, this list is super informative and helpful) Comment from Nika(@busmark_w_nika): @rebryk  You are welcome ... ... available for free , funded by ads. More recently, I fell in love with @Dimension , a proactive AI assistant thoughtfully crafted. Looking forward to 2026! Comment from Chris Messina(@chrismessina): I've gotta go with @Windsurf I never really understood @

... touch: kare.s@velotrix.ca or search for Kare Selvaraj on linkedin. Comment from Arif Shariar(@arif_shariar): I am looking for work : Background & Skills LLM Engineer focused on post-training, GRPO/RLHF, LoRA fine-tuning, and reasoning alignment. Python, PyTorch, HuggingFace, TRL, Djang, Fast API Roles LLM Engineer / GenAI Engineer / Post-Training (RLHF) Engineer / Full Stack Engineer ( Django and Fast API) Work Type Open to full-time, contract, and freelance (remote) Get in Touch LinkedIn: https://www.linkedin.com/in/arif... ...

... creator of Medini Intelligence Medini Intelligence is an open-source AI model built for text generation, research assistance, and knowledge automation designed to be transparent, ethical, and developer-friendly. It s powered by Transformers, PyTorch, and Gradio, running on HuggingFace Spaces for easy access and experimentation. Our goal is to make responsible, explainable AI accessible to everyone from developers and researchers to educators and startups. Try it out: [

... 20th @Rybbit  launched on October 19th, ranked #1 Product of the Day @Kibo UI   Patterns launched on October 19th, ranked #3 Product of the Day @OpenStatus  launched on October 18th, ranked #2 Product of the Day @HuggingFace  launched on October 17th @Zed  launched on October 17th @Aero Hand Open  launched on October 15th @Cal.com  launched on October 15th @n8n   AI Workflow Builder launched on October 14th, ranked #1 Product ...

... recently found a dataset on @HuggingFace that has a huge list of prompts. It's called awesome-chatgpt-prompts , but they point out that it's applicable to other models as well. There are some really useful ones in it along with some funny ones like Magician and Lunatic I've found persona prompts like this to be really helpful, and I want to start trying out some of these now. I've even gotten my wife to start ... ... prompts or refining yours. Please  https://chatgpt.com/g/g-6807e693...  ;) Comment from Kuldeep Kulshreshtha(@kuldeep_kulshreshtha): @jakecrump  Kool. Comment from Kuldeep Kulshreshtha(@kuldeep_kulshreshtha): Good one. I'm not sure if this one is same as that on

... great. Comment from Jake Crump(@jakecrump): Hey Vogulam! Welcome to Product Hunt I'm curious, outside of Product Hunt , what other sites do you follow to keep up on the newest AI developments? I know I'm typically checking HuggingFace pretty often for newer models and releases. But I'm always on the look out for other sources to follow ...

... celebrate the launch of Forums, we created "Product Hunt Thread Summarizer" instantly condensing long threads into short, readable highlights. Powered by Inferless + @HuggingFace Try it yourself : https://dub.sh/producthuntapp Demo video summarizing @fmerian thread : https://x.com/aishwarya_08/statu... P.S. We're launching Inferless on PH, March 25th would love your support! What else should we build next ...

... promoting this for your product? Comment from DidiervanH(@didiervanh): @kenny_hawkins  Thanks for your comment! I very much agree that there should be content availabe to any type of mind once the interest occurs. Although indeed big consumer-facing LLMs like @ChatGPT by OpenAI @Claude by Anthropic or @DeepSeek should take their fair share in educating some fundamentals, also the individual services, whether it is an AI wrapper or using their own models would likely benefit from having ... ... sold as "AI-powered". I see the same sentiment surrounding AI in my home and the people around me. It can be difficult to encourage non-tech individuals to read an arXiv essay but maybe a firm like @Hugging

... industries like IT, healthcare, retail, E-commerce, and research. Our next-gen automation platform simplifies complex data challenges, helping businesses unlock the full potential of AI. Led by Fred, whose AI innovations have been recognized by MIT, Berkeley, and HuggingFace, AIstrova is pushing the boundaries of AI, AGI, and ASI technology. Join us as we shape a smarter, more efficient future! Explore more: dataegi.aistrova.com Follow us on X: @aistrova ...

... explored are: 1. Kaggle Datasets: A wide variety of datasets for every domain. 2. Google Dataset Search: A powerful tool to find datasets across the web. 3. UCI Machine Learning Repository: Great for classic ML datasets. 4. HuggingFace Datasets: Amazing for NLP tasks. Are there any underrated or niche resources you'd recommend? Let's share and build a comprehensive list!" Would you like to add or refine this further ...