Leaderboard is a Farcaster frame server that generates comprehensive channel leaderboards within Farcaster frames. Users can input a channel name to access detailed engagement statistics for top contributors. The application leverages both the Nanograph API and Lum0x SDK to provide a rich, multi-dimensional view of user engagement within specified channels. Key features include: Channel-specific leaderboards displaying top 10 contributors Detailed engagement metrics: casts, likes, recasts, and overall engagement score Customizable timeframe for data analysis (currently set to weekly) Interactive frame navigation with options to refresh data or start a new search The application integrates Nanograph API to identify top contributors for a given channel, while the Lum0x SDK is used to fetch detailed engagement data for each contributor. This combination provides a nuanced view of user activity and impact within Farcaster channels. Engagement score is calculated based on a weighted sum of likes and recasts, offering a comprehensive measure of a user's influence within a channel. Tech stack: Frog: Framework for building Farcaster frames NextJS API routes for the frame server Neynar: Farcaster Hub for frame validation Vercel for deployment

statframe is a Farcaster frame server designed to render detailed user analytics within Farcaster frames. Users can input their Farcaster ID or username to access personalized statistics, including user profile information, casting activity over the past 30 days, engagement rates, Moxie earnings, and top channel contributions across multiple frame routes that persist input data. The application integrates the Lum0x SDK to retrieve detailed user profile stats (followers, following), cast stats (casts, reactions, recasts, replies), and Moxie earning stats (total earned, cast earnings, frame developer earnings, other earnings). The Nanograph API is used to fetch user contribution metrics across various channels to identify and display the user's top channel based on the highest contribution. Engagement rate is calculated as the total interactions (likes, recasts, and replies) divided by the number of followers, multiplied by 100%. Caching is implemented to reduce load times. Tech stack used: Frog: a framework for building Farcaster frames; Frog UI: for Frame UI components; Neynar: Farcaster Hub for utilizing Frog devtools for local frame validation; NextJS API routes for the frame server; Vercel for deployment. Github Repo: https://github.com/ss251/farhack-frames-app | Frame URL: https://farhack-frames-app.vercel.app/api

Pokeframes combines the nostalgic excitement of Pokémon battles with cutting-edge blockchain technology. Players can mint their own unique Pokémon NFTs and engage in battles against others in a secure, transparent, and verifiable environment. With the power of the Open Frames standard, players can enjoy the game from anywhere! Check our demo available in the link down below. Features: - Pokemon NFTs: minting ownable and unique pokemons is available - Battle P2P: creating battles that anyone can join and play asyncronously - Techstack: • Node.js • Nanograph • Lum0x • SQLite - Nanograph was essential to build Pokeframes leaderboard. In a short, it was used to query and filter most active users in the Pokeframes channel in a way that this users can be rewarded in the future. - Lum0x was essencial to get and validate Farcaster userdata in various steps of Pokeframes . Briefly, Lum0x was chosen because it's seamless to develop on top of it and focus on what really matters to Pokeframes users, the game mechanics. Check Pokeframes repo and demo below or go to https://github.com/PokeFrames https://www.youtube.com/watch?v=mi3TS-JsuKs

FrameTrain, aka "Canva for Frames", an OSS repository that represents the premier Frames builder. Featuring integrated Neynar validation, APIs for developers, and hosting for users. It's a complete toolkit that solves the biggest issue for Frames, the utility gap. ……………………………………………………………………………………………………………… …………………………… ℹ️ More Info? https://github.com/FTCHD/frametrain/wiki