CapyData

Demo

About

# CapyData CapyData turns everyday learning into a **World ID-verified game**: you raise a virtual capybara by feeding it snippets of your life—documents, images, trivia answers—while the same interactions label data that improves AI. The app pairs a modern **Next.js 15 + FastAPI** stack with **Worldcoin’s Mini App rails** to guarantee every label comes from a real human and every reward goes back to that human. --- ## Description CapyData is a “learn-to-earn” virtual-pet platform that combines three proven ideas: 1. **Tamagotchi-style engagement** keeps users returning to care for a digital companion. 2. **NotebookLM-like personal knowledge bases** let users upload or author content and query it with AI. 3. **Scale-AI-grade data-labeling workflows**, but crowdsourced through short, fun games rather than paid task queues. --- ## User Journey - **Onboard with World ID** One-person-one-account login prevents Sybil attacks and keeps labels honest while hiding the user’s real identity with zero-knowledge proofs. - **Adopt a capybara** The pet’s health and appearance reflect the user’s activity—XP from games, new insights generated, and data contributions. - **Play micro-games** Four launch titles—*Image-Quality Judge*, *Language Flashcards*, *Mood Detective*, *Knowledge Trivia*—convert image rating, translation checks, sentiment tagging, and fact verification into enjoyable **30-120 second** rounds. Academic studies show gamification sustains data-labeling quality at scale. - **Feed data** Users can add data sources from the Internet and from personal social accounts to enable personalized insights in the future. - **Receive insights** A **GPT-4o-powered assistant** digs into the user’s personal corpus and game history to surface strengths, blind spots, and tailored learning goals. - **Explore AI studio** Provides detailed analytics on submitted data and chat interactions, inspired by best-in-class AI web2 features. - **Earn & spend** Points unlock cosmetic skins and, in the next milestone, on-chain NFTs and marketplace revenue share. --- ## Why World ID Matters Traditional crowdsourcing fights constant bot infiltration; requiring an **orb-verified World ID** ensures every label originates from a living human, improving data reliability and enabling fair reward distribution without leaking personal data. --- ## Long-Term Vision The same personal knowledge graphs that answer “What did I read last week about zero-knowledge proofs?” will become licensable datasets in an open marketplace. **World ID** and **RLS (Row-Level Security)** rules in Supabase guarantee both attribution and rev-share as that data trains future models.

How it's made

# CapyData — Tech Stack Overview ## Front-end - **Next.js 15** gives App Router, React Server Components and Turbopack for **20 % faster** dev builds. - **React 19 RC** provides streaming UI and built-in async error boundaries, which we use for game loading states. - **Tailwind CSS 4** supplies a lightweight pixel-art theme; **Radix Primitives** standardise modals and tooltips. - A **PWA manifest** lets users add CapyData to the World App home screen with offline caching for static assets. --- ## Back-end - **FastAPI 0.111** exposes JSON endpoints; the new `fastapi dev` CLI sped up local iteration during the **48-hour** build window. - **Python 3.11** workers call the OpenAI API for chat, function calls and embeddings; **GPT-4o** is the default model. - **Notte SDK** supplies lightweight embedding pipes when we need to stay entirely on-prem for private corpora. --- ## Data Layer - **Supabase Postgres** with **Row-Level Security** ensures each user reads and writes only their own pet, game and knowledge rows—even if a token leaks. - A single `game_config.ts` file in the repo holds metadata (route, rewards, colour theme) for every mini-game, hot-reloaded by both the hub page and the API to guarantee consistency. --- ## Partner Tech & Benefits **Worldcoin MiniKit**: Web-view bridge & World ID auth | Instant access to millions of verified humans, Sybil resistance --- ## Hacky but Notable - **Edge-deployed embeddings.** Because World App web-views restrict heavy downloads, we compress OpenAI embeddings with PCA to **128 dims** on the fly, then store them in a Postgres vector column (extension **pgvector**)—shrinking storage **4 ×** while keeping recall above **0.92** on our test set. - **Game-driven AI eval loop.** Every trivia answer is dual-logged: once for XP, once in an evaluation table that automatically scores GPT-4o’s own answer to the same question, providing continual supervised feedback with no extra user effort. - **Zero-config split builds.** We piggy-back Next.js Turbopack’s incremental compiler to produce both a normal web bundle and a reduced **“mini-bundle” (<200 kB)** that World App downloads after orb-verified login, shaving first-interactive to **1.1 s** on mid-range Android. --- Together these pieces create a fast, privacy-preserving playground where people, pets and models all learn from each other—and every contribution is both verifiable and rewarded.