Without further ado, let's envision a scenario where Starknet distributes $STRK based on Nomis' Scoring solution.

Starknet Airdrop Based on Nomis’ Scoring Algorithm

Here’s how it could work:

1. Users who are active on chain at any time before the announcement of the airdrop are eligible.

2. The announcement means a snapshot, after which any onchain activity won’t count towards the airdrop distribution.

3. The users' Scores are calculated based on their pre-announcement onchain activity.

4. A user mint a Score, which is an onchain proof of their reputation (a sufficient amount of time is given for this). The last but not the least step is paying a minting fee — akin to a 2FA verification that demonstrates Anti-Sybil status.

5. Those who’ve got SBT receive an airdrop, the amount of which depends on their Score.

6. Decentralization ensures even minimal activity gets rewarded, leaving everyone satisfied.

That’s how Starknet ideally could assess users’ wallets. But let's backtrack a bit.

The Starknet Foundation planned to distribute over 700 million $STRK to nearly 1.3 million addresses. In the previous article, we discussed Starknet's criteria for selecting users, explained their ineffectiveness and dishonesty, and most importantly, highlighted the community's response to Starknet's decision on distributing $STRK. Give it a read if you missed it.

Again, Starknet set several criteria for rewarding users: 3 months of active engagement, executing more than 5 transactions, and achieving a transaction volume of over $100.

And there was a catch—the requirement for a wallet to hold over 0.005 $ETH. Not $USDT, $USDC, or any other token, but specifically $ETH. And it had to be in the wallet, not a liquidity pool. This criterion sparks controversy, as TVL or all-time liquidity highs could better demonstrate growth to investors.

As a result, only a third of the Starknet’s community received $STRK as a reward. But others contributed too. What about their rewards? Let’s dive deeper.

The Trust Issues with Trusta

Starknet Foundation teamed up with TrustaLabs to create Sybil-resistant user lists and allocate $STRK efficiently. Starknet claimed its Provisions program would empower recipients to influence Starknet’s future through governance votes, ensuring that influence matched the user’s contribution to avoid disproportionate power.

Starknet had noble intentions — aiming for a fair distribution that would benefit both users and developers to foster ecosystem improvements through proposals and governance. However, the tools they selected ultimately proved unsuccessful.

There are also questionable criteria for rewarding developers, as Starknet chose to reward individuals who made a minimum of 3 commits to the GitHub repository, including even those who simply corrected typos in the repository documentation.

Plus, Starknet introduced an 'Early Community Members' form, offering additional tokens to prompt participants. However, crypto community has noticed a mismatch between the volume of applications and the actual number of link clicks, which has sparked questions about the fairness of the distribution’s process.

Based on all these facts, it can be argued that the scoring criteria were flawed. Interestingly, even those who met Trusta’s criteria missed out on $STRK, despite showing significant activity indicators.

Efficacy: Unveiling Nomis’ Scoring Solution

Crypto community is now navigating the Sybil era, where users aim to maximize profits with minimal effort. And we believe that everyone who has contributed to the ecosystem, whether as a Sybil with multiple accounts or a user with a single account, deserves to be rewarded. How? This is precisely what we elaborate on in the following sections of the article.

For example, Nomis’ Scoring solution ensures a fair distribution of tokens through a crucial component — a non-linear function. Let's delve deeper into this concept. By scrutinizing all the wallets and evaluating their ratings, the project gains a profound understanding of its audience. With this knowledge, the team can distinguish between different user profiles.

Here comes the intriguing part: the project has the option to either exclude less active wallets from rewards or opt for a more strategic approach.

It's important to acknowledge that even these less active wallets are integral participants in the ecosystem and deserve recognition. This is where a non-linear reward distribution function comes into play. By utilizing this method, the project acknowledges and rewards all participants, albeit to varying extents, with a focus on genuine users.

A Win-Win for Both Projects and Users

Unlike KYC methods relying on passports or IDs, Nomis uses only onchain data, granting Proof-of-Humanity in a permissionless, trustless manner. When a Sybil starts performing more onchain actions, mimicking a real user, they essentially become one.

This transformation makes them a valuable contributor and early adopter, eligible for unique rewards and benefits within ecosystems.

For all users, it's that simple: just connect your wallet to Nomis, choose the ecosystem you were active in, and our AI-powered mathematical model starts scoring your onchain data.

And for every project, Nomis offers a bot-resistant solution to safeguard higher TVL growth rates. We assist projects in accelerating their growth by utilizing the airdrop GTM without the risk of being drained and overwhelmed by bots. There is no need to hire a team of analysts and mathematicians.

We transforms airdrops into a commitment towards equitable and secure rewards distribution in the blockchain ecosystem. Our AI-driven Scoring Solution ensures genuine contributors are accurately rewarded, fostering ecosystem integrity and growth. This not only streamlines the airdrop process but also builds community trust.

In essence, Nomis establishes a solid foundation for project success and meaningful community engagement, marking a step towards a fairer blockchain landscape. We can ensure the safety of your airdrop phases.

Let’s support Onchain Reputation future together!

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Learn more about Nomis’ Scoring model: Nomis White Paper

Find more about Nomis: Visit Nomis.cc

Find out how Nomis works: Why Your Nomis Score Is So?

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