What is Forte? Nearly 1 billion in funding + airdrop model, a GameFi infrastructure-level project
Recently, if you have been following airdrops, you must have seen a name starting to appear repeatedly—Forte, but most people actually don't understand what it does. Let's get straight to the point: 👉Forte is not an ordinary project; it is the infrastructure for the "GameFi + Web3 economic system," specifically designed to help games and applications build a complete on-chain economy, including token issuance, NFTs, compliance rules, and asset management. Essentially, it allows developers to directly create a "functioning on-chain economy."
More importantly, Forte is not a single chain but a cross-chain infrastructure that can integrate multiple ecosystems such as Ethereum, Polygon, etc., and control token circulation, locking, and user behavior through a rules engine, even including KYC and risk control mechanisms. This is very important because it addresses the biggest problem that Web3 has faced all along—👉the economic model and compliance issues are difficult to implement.
Back to what the market cares most about, airdrops, Forte has now entered the typical "Points + task-based" phase, allowing users to complete tasks and accumulate points through Galxe activities, which may be converted into $FORT token distribution in the future. Current main tasks include community interaction, invitation mechanisms, and wallet binding. This is the standard airdrop pre-process: 👉first collect user data, then decide on token distribution.
From a funding perspective, Forte has raised approximately 910 million USD, backed by top-tier capital such as a16z, Animoca, Solana Ventures, etc. This represents one thing: 👉it is not an experimental project but is being built as "infrastructure-level."
The strategy for this type of project is very clear: first, complete all Galxe tasks (basic points); second, continuously participate in activities (extend behavior time); third, make referrals (increase weight), because the final distribution of such Points models is usually strongly related to "activity level + contribution level," rather than simply entering the market early.
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