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Handle Factor

No-code tool to build personalised frames based on user profile and activity

Handle Factor

Created At

Frameworks

Winner of

The Graph - Best use of The Graph Network Pool

Project Description

Handle Factor is a no-code tool where you can build personalised frames for each type of Farcaster user. This means that different content, action and prices will be shown to each user depending on their behaviour. On Handle Factor you can:

Choose a frame type: e.g. Buy Now frame or Staking Frame Add Token/NFT or Protocol conditions: e.g. User has as an NFT or user has made a swap on Uniswap Analyse these conditions across multiple wallets linked to their Farcaster ID Track performance and get insights of your frames interactions Customise product offering and price depending on the aforementioned criteria by adding specific conditions. This way you can improve the content and actions provided to each user depending on their activity and profile

This way you can now create frames with more valuable content for each user

How it's Made

We've developed a no-code tool as a Frames Factory. This tool allows users to specify their criteria for purchasing a particular asset. We personalise the frame content and the offered asset by analysing the user's historical data. The process begins with users configuring their frames through a Next.js application. Once configured, the frame is deployed on Vercel. Users can then share their frames via Warcapst, enabling others to interact with them. Each interaction results in the creation of an embedded wallet using Privy, where the asset is transferred. Upon clicking the initial button, the frame sends queries to Airstack and The Graph to gather token holdings and historical protocol data. Using this data, we customise the subsequent view. Finally, a transaction is initiated on Base's marketplace to purchase the NFT. For analytics purposes, we track the usage of frames, their origin applications, and whether users who interacted with them ultimately made a purchase. This data is sent to the Pinata Analytics API.

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