LCP
Overview

A provably fair enabled lottery platform providing the rarest cryptos in the world via bidding. There is no crypto required to enter the draw.

At A Glance

industry
Industry
Blockchain as a Service (BaaS)
region
Region
USA
duration
Duration
4 Weeks

Technical Stack

Node.js
DynamoDB
Solidity
CryptoSlam
Serverless
Shopify
Ethereum

Client Profile

The client is based out of New York, offering the most exclusive NFT projects by entering a lucky draw via bidding without paying in crypto.

Challenge

  1. The client could not get hold of a fair system to select and announce their lottery winners. They required a platform that would provide end to end solution for the lucky draw system with a fair judgment for the lottery selection.
  2. The client wanted a foolproof solution to manage all the NFTs available for the lotteries to win.
  3. The client wanted an automated system to carry out the whole process of the lucky draw.
Diagram of provably fair lucky draw platform for exclusive NFTs, showcasing transparent selection process and system architecture

Solution

  1. Seaflux developed a platform for lucky draw participation with a provably fair winner selection system for transparent decisions. The contract for provably fair has been written in solidity and deployed on the Ethereum blockchain.
  2. Seaflux created the admin portal to handle the automation to carry out the whole process lucky draw, from selecting NFTs and accepting registrations to the duration of the lottery winners, developed using ReactJS.
  3. Admin can start the provably fair algorithm for winner selection as per convenience with the click of a button.
  4. The management of all the NFTs for the lucky draw and transaction payment has been built using Shopify.
  5. The platform shows the most trending Blockchain and NFTs collection in the last 24 hours by their sales volume, implemented using the Cryptoslam API.

Key Benefits

  1. The platform created a user base of more than 50k in the initial 6 months of its launch.
  2. Automating the process saved the client's operation cost by almost 29%.

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