RIG — Local-First AI Developer Platform Launch
Project brief
High-converting launch architecture and interactive product showcase for the local-first AI ecosystem.
Overview
RIG is pioneering local-first AI development tooling, giving software engineers zero-latency on-device inference, complete data sovereignty, and open-weights model orchestration without cloud API lock-in.
For their public product release, the founders needed a striking, technically rigorous web platform that spoke directly to hardcore systems programmers, AI researchers, and engineering leads.
Interactive on-page local runtime demos
Engineered interactive browser-based benchmarking widgets using WebAssembly and WebGPU detection, demonstrating real-time token generation speeds and local RAM utilization versus cloud API latencies.
Designed a sleek dark developer aesthetic inspired by modern terminal interfaces, featuring syntax-highlighted code playgrounds, downloadable CLI snippets with one-click copy, and interactive architectural diagrams.
Interactive local model benchmark comparator and developer onboarding
Launch performance & developer conversion
Built with Next.js App Router, React Server Components, and edge asset distribution, ensuring instant rendering even during traffic spikes of over 50,000 concurrent Hacker News and Twitter visitors.
Integrated automated GitHub star tracking, release changelog feeds, and multi-platform binary download routing for macOS, Linux, and Windows.
Impact
The launch generated over 38,000 developer waitlist registrations and thousands of GitHub stars within the first 72 hours, helping RIG successfully secure strategic seed funding.
Technologies
Built with modern, production-grade tools focused on long-term maintainability, security, and sub-second performance.
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