Mintboost

Hi everyone!

As an active participant in the web3 community, I've seen firsthand the struggles that NFT projects face when it comes to launches.

NFT projects typically gather lists of interested wallets, also known as allowlists or whitelists, through various methods such as giveaways, collaborations, social media engagement and community participation.

Once a team has gathered enough interest and is ready to launch, they must decide which wallets make the cut for their allowlist. This can be a tedious, subjective and generally ineffective process.

I knew there had to be a way to help NFT projects make more informed decisions about which wallets to include on their allowlist.

I started by analyzing the transaction history and other data for each wallet (of a few allowlists I had access to) and checked whether or not they ended up minting the NFT.

I learned that by using data analysis and machine learning it was possible to create a profile for wallets that were unlikely to convert, letting me filter the allowlist to keep only the most promising candidates.

In initial testing, there was a 1.5x increase in mint rates using the filtered wallets, a significant boost. The proof of concept that it was possible to optimize allowlists was validated.

The next step is to find my first users and get some feedback. I've set up a website and am currently reaching out to upcoming NFT projects. I'm excited to see where Mintboost goes and how it can help NFT projects achieve their goals.