sundas arif@sundasarif

Problem Traditional reservation systems use basic lists and forms. They often ignore the physical floor, make table combinations difficult, limit staff visibility, and may face concurrent booking conflicts. Composable Floor makes the restaurant floor central to booking and operations. Solution Composable Floor offers a visual 2D/3D floor experience for restaurant discovery, availability, table-group selection, and staff operations. PostgreSQL constraints and atomic booking logic help protect reservation correctness. Key Differentiator Our key differentiator is the combination of a functional 3D floor, composable table groups, and database-level double-booking prevention. The floor shows real table states, while the database remains the source of truth. Frontend Technologies Next.js, React, TypeScript, Tailwind CSS, CSS design tokens, React Three Fiber/Three.js, Zustand, and Zod. Backend Technologies Next.js API routes, Supabase Auth, PostgreSQL, RLS, constraints, triggers, atomic booking logic, advisory locks, Realtime, and polling fallback. Target Users Restaurant guests, hosts, servers, floor managers, restaurant managers, and owners—especially teams needing flexible table combinations and better floor visibility. Future Scope Smart table recommendations, demand heatmaps, QR check-in, email confirmations, advanced floor editing, saved layouts, utilization analytics, restaurant branding, and offline staff support.

LabMate AI is an AI-powered laboratory research copilot designed to help students, researchers, and PhD scholars move from a research idea to a structured research plan more efficiently. Researchers often spend significant time searching across papers, protocols, documentation, and analysis resources to determine how an experiment should be designed and analyzed. LabMate AI brings these planning steps into one workflow. Users describe their research title, hypothesis, experimental technique, sample type, key variables, and expected outcomes. The application then uses AI to generate a structured research plan that can include research objectives, experimental workflows, protocol guidance, materials and reagents, quality-control checklists, bioinformatics or computational analysis pipelines, statistical analysis recommendations, visualization suggestions, expected outcomes, and common best practices. The application is primarily built with Native.builder, using its AI-assisted application development capabilities to create the React-based interface and user workflows. Supabase provides authentication and backend services, while an external LLM API powers AI research-plan generation. Generated research plans can be persisted and accessed through the application for continued use. Our goal is to reduce fragmented research planning and give researchers an intelligent starting point for designing experiments and organizing their analysis workflow. LabMate AI is designed as a research productivity tool and does not replace expert scientific judgment or guarantee scientific accuracy.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.