YC Fall 2026 x Moss: The Zero Latency Builder Sprint

Description

YC Fall 2026 x Moss: The Zero Latency Builder Sprint Build the next generation of AI applications with Moss and make latency your competitive advantage. Powered by Moss (YC F25), this builder sprint challenges you to turn ideas from Y Combinator’s Fall 2026 Requests for Startups into production ready AI applications where speed matters. Moss delivers sub 10ms semantic search without a vector database, giving AI agents instant access to the context they need. Build AI experiences that feel truly real time, whether they run in the browser, on the edge, on device, or in the cloud. The challenge is simple: Build something where fast retrieval makes the product meaningfully better. Why Build with Moss? AI applications are only as fast as the context they can access. Traditional retrieval infrastructure can add network hops, database latency, and unnecessary complexity. Moss removes that bottleneck. You will get access to Moss starter kits, technical resources, and AI powered support so you can go from idea to working prototype quickly. What Can You Build? Choose a problem inspired by YC’s Fall 2026 Requests for Startups and use Moss to make your AI application faster, more responsive, and more capable. 1. Real Time Voice and Conversational AI Build voice agents that need to understand and respond instantly for field workers, healthcare, dispatch, customer support, and more. Use Moss for: sub 10ms context retrieval, real time knowledge access, and low latency agent interactions. 2. Multiplayer AI and Collaborative Agents Build AI powered workspaces where humans and agents share context and collaborate on long running tasks. Use Moss for: fast shared context, session history, semantic retrieval, and multi agent state. 3. Local First AI and The Small Cloud Build privacy first AI tools, browser copilots, developer utilities, or applications that run close to the user. Use Moss for: local semantic search, on device retrieval, and lightweight AI experiences without heavy cloud infrastructure. 4. Agent Reliability, Security and Evaluation Build systems that make AI agents more trustworthy through runtime guardrails, evaluation, and context validation. Use Moss for: fast retrieval, continuous context evaluation, latency tracing, and real time agent guardrails. Build Fast. Get Feedback. Ship. The sprint is designed to help you spend less time building infrastructure and more time building the product. Start with Moss Get a working Moss starter kit and begin building in minutes with support for LiveKit, Next.js, Python, and FastAPI. Map Your Architecture Submit your architecture early and get feedback on your retrieval pipeline, agent state, and potential bottlenecks. Build Your Product Use Moss to power your retrieval layer and focus on the experience, intelligence, and product you are actually building. Ship It Submit your GitHub repository, architecture diagram, and a two minute demo showing what you built. Timeline September 6, 2026: Kickoff Registrations open. Get access to Moss resources, starter kits, and AI support. Start building immediately. September 20, 2026: Submissions Close Submit your GitHub repository, architecture diagram, and two minute demo video by 11:59 PM IST. September 23, 2026: Finalists Announced Top projects are revealed on the leaderboard. September 26, 2026: Grand Finale Finalists demo their products live to our judging panel, followed by the awards ceremony. Prizes ₹50,000 in cash prizes across the Top 5 teams, plus: Teams can compete individually or in pairs. How We Will Judge 35% Product and User Experience Does the product solve a real problem and is the experience compelling? 30% Technical Execution How well does the architecture and AI pipeline work? 20% Speed and Latency Did you use Moss effectively to build a fast and responsive experience? 15% Demo and Presentation Can you clearly show what you built and why it matters? Meet Moss Moss is the retrieval layer for production AI systems. When your AI application needs context instantly, Moss delivers semantic search in under 10ms without requiring a traditional vector database. That means you can build AI systems that respond faster, run closer to users, and avoid unnecessary infrastructure. From real time voice agents to local first applications and autonomous AI systems. Now it is your turn. Take a YC inspired startup idea. Build it with Moss. Push the limits of what is possible when AI retrieval is no longer the bottleneck. Build fast. Retrieve instantly. Ship something real. Hosted By AIHouse is the community layer powering this ecosystem. Built for founders, researchers, engineers, students, and AI enthusiasts, AI House creates a space where people consistently learn, share, collaborate, and grow together. Through initiatives like 100 Days of AI House, community gatherings, founder conversations, knowledge-sharing sessions, and industry collaborations, AI House has built a thriving network of 15,000+ community members who are actively shaping the future of AI. More than a community, AI House is where meaningful relationships, opportunities, and ideas are created every day. HiDevs is a Builder Intelligence Platform for the Agentic Era We help developers transform ideas into production-grade AI agents through personalized guidance, intelligent evaluation, continuous feedback, and contextual memory. By combining specialized AI agents with developer intelligence, HiDevs understands each builder's goals, tracks their progress, and provides the insights needed to accelerate their journey. Through 100+ community experiences, builder initiatives, and ecosystem collaborations, HiDevs has engaged 15,000+ developers and is building the infrastructure that powers the next generation of AI builders. Together, HiDevs and AI House are building one of the fastest-growing AI ecosystems where ideas turn into products, builders become founders, and collaborations turn into impact.