I'm Adrin, co-founder of Oculi Medical. We're building Kim, a personal AI health assistant.
Kim connects to your wearables and blood labs to deliver personalized insights. Ask any health question and Kim answers backed by your data and medical research. All your health data lives in one place, presented in a way that's actually easy to understand.
Kim also tracks calories, scans food products, and tells you what's healthy or not based on your personal data. Kim suggests supplements based on your data along with research. Run experiments to discover which supplements work for your body. The more you use it, the smarter it gets.
Hi everyone! I m Shweta from India . I m a QA Engineer with 2.5 years of experience in manual and API testing. I enjoy exploring new tech products, finding bugs, and learning about startups and AI tools.
Excited to be part of this community and discover amazing products here!
I started as a dancer. And like every dancer, I was always hunting for something that actually fit the moment, not just whatever was free and legally safe enough.
Hey I'm Francois. I'm launching a product a product Wednesday. The interweb said this is the place to announce it so here we are. I am excited to start, and I think the tool is cool and I want people to use it.
I design, build, and ship production-grade AI systems - not just models, but full-stack products that scale, perform, and deliver real-world impact. My work spans the entire AI lifecycle, from training foundation models and building multimodal pipelines, to orchestrating distributed systems, deploying retrieval-augmented agents, and designing seamless user experiences. I focus on turning AI innovation into reliable, scalable, and usable products.
Core strengths:
Python & FastAPI for robust AI pipelines, APIs, and microservices
PyTorch & JAX for LLMs, diffusion, and multimodal models in research and production
Distributed GPU orchestration using AWS, Modal, and custom worker clusters
Retrieval & agent systems with vector databases, embeddings, RAG workflows, and hybrid search
TypeScript & React for high-performance, AI-powered frontends and interactive applications
I m co-founding Raghim AI around a practical question: how do teams improve customer support and day-to-day productivity across West & Central Africa and beyond without fighting where regulations and risk management say data and workloads must live?
What is the most cost-effective hardware configuration for maximizing capacity in a non-redundant plex server storage setup?
The most cost-effective approach for non-redundant plex server storage is a JBOD (Just a Bunch of Disks) configuration using high-capacity SATA hard drives.
I ve spent my career as a UI/UX designer, obsessing over every pixel and every micro-interaction. But recently, I faced a hard truth: A beautiful interface cannot save a product that nobody wants. In the age of AI, building has become easy. But choosing what to build has become harder than ever. I saw too many talented founders (and designers) wasting months on "ghost ideas" based on AI hallucinations or gut feelings that didn't scale.
I am currently building an app for iPhone and Google Play store. Like many others, I am using Claude Code to assist with coding, and my general knowledge from school to fill in the gaps on the backend. I am heavily underprepared for the marketing angle, and was hoping anyone could share with me some of their tools, best practices, etc.
