Launching today
CraveLens
See it. Crave it. Get it.
12 followers
See it. Crave it. Get it.
12 followers
CraveLens is a Chrome extension that uses on-device AI to identify food in supported videos and selected webpage regions, then prepare personalized Swiggy carts for your review.
Products used by CraveLens
Explore the tech stack and tools that power CraveLens. See what products CraveLens uses for development, design, marketing, analytics, and more.
Design & Creative 1
Design & Creative 1
SwiggyOrder food online from India's best food delivery service!
4.1 (8 reviews)
Building a seamless bridge from a visual craving to a ready-to-order meal required an API ecosystem capable of handling dynamic cart states, live payment availability, and hyper-local restaurant matching. The Swiggy Model Context Protocol (MCP) servers provided authoritative tool schemas that allowed the local agents to autonomously verify items, customize carts, and process UPI or COD checkout natively. The robust integration tools empower authentic, end-to-end commerce directly from the browser window while maintaining strict cart ownership and duplicate-submission protections.
LLMs 1
LLMs 1
Google Gemma 4Google's most intelligent open models to date
5.0 (2 reviews)
Delivering a privacy-first AI food discovery experience required keeping video frames and visual cravings securely on-device. Gemma 4 provided the ideal balance of reasoning capability and memory efficiency for local execution. Running the E2B and E4B instruction-tuned models locally via LiteRT and WebGPU inside the browser extension eliminated cloud inference latency. This architecture protected user data without compromising the agent's ability to orchestrate complex cart mutations, verify menu items, and process follow-up instructions.
Engineering & Development 2
Engineering & Development 2
Google Cloud PlatformA suite of cloud computing services by Google
5.0 (219 reviews)
Orchestrating complex workflows between the browser extension, local AI context, and external food delivery APIs results in highly variable traffic patterns. Google Cloud Run provides an exceptional container-based deployment environment that automatically scales the lightweight Node.js API server from zero to instantly handle sudden bursts in active cart sessions. This serverless execution model ensures compute resources are only utilized during active agent events, telemetry collection, and checkout verification, completely removing the operational overhead of managing underlying infrastructure.
CloudflareThe web performance & security company
5.0 (266 reviews)
Routing traffic securely from the public extension to the backend API required strict access controls and a zero-trust architecture. Cloudflare's Edge Proxy and Cloudflare Tunnels allowed specific API and WebSocket routes to be exposed without opening origin server ports to the public internet. The seamless integration of Cloudflare Access ensured that internal admin endpoints remained protected by strict, identity-based policies while preserving ultra-fast, unhindered edge routing for standard user inference and telemetry traffic.