Development of an automatic airdrop claim system

Launching a token airdrop requires an automatic airdrop claim system that combines off-chain calculations and on-chain verification via a Merkle proof structure. This cryptographic commitment scheme distributes tokens fairly while minimizing transaction costs. Our turnkey token distribution system covers the full cycle: snapshot, anti-Sybil analysis, tree construction, smart contract deployment, and claim UI. With over 5 years in the market and more than 50 completed projects, we ensure security and transparency. According to Optimism distribution data, Sybil filtering saves a project between $50,000 and $200,000 depending on pool size. For a standard airdrop with 100,000 addresses, the development cost is approximately $20,000. Typical project cost ranges from $15,000 to $50,000 depending on complexity.

Development of an automatic airdrop claim system

At the core is a Merkle proof system serving as a verifiable proof of inclusion. Each leaf node is computed as keccak256(keccak256(abi.encode(account, amount))). The smart contract stores only the root hash (32 bytes). For one million addresses, the proof consists of 20 hashes (640 bytes calldata), achieving a 5000x gas reduction compared to on-chain mapping. Users execute a single claim() transaction with their proof.

What are the benefits of automation?

This automatic airdrop claim system eliminates manual errors, speeds distribution, and cuts gas expenditure. For one million participants, total gas remains under $10,000 at standard prices. A custom indexer processes data in hours instead of days. Consequently, a ready system is delivered in 2–3 weeks rather than months of development.

Gas optimization using tree-based verification

Using a Merkle structure reduces claim costs to one transaction per user. For a pool of 1 million addresses, savings exceed $50,000 compared to full mapping. The distribution contract is further optimized for cold storage reads.

How do we protect against Sybil attacks?

The Sybil problem

Creating multiple addresses to receive a larger token allocation is a real threat. According to Optimism data, ~17% of eligible addresses were flagged as fake. Our automatic airdrop claim system employs three methods:

• Address funding analysis: We build a funding graph; if N addresses received ETH from one source and performed similar actions within a narrow window, they are clustered as Sybils.
• Temporal clustering: We scan for mass registrations over short periods. A cluster of 50 addresses activated within 10 minutes triggers a stop signal.
• On-chain identity verification: We account for ENS, Lens Profile, and Gitcoin Passport. An ENS name reduces Sybil probability to almost zero.

Filtering results

With a 10M token pool, anti-Sybil analysis saves the project about $200,000. The 23% reduction in claim gas further saves ~$5,000 at distribution.

Airdrop system development components

1. Snapshot and indexing: Collect historical events via RPC or The Graph. For large volumes, we write a custom indexer using TypeScript + viem + PostgreSQL.
2. Criterion definition: Assign weight to actions (volume, frequency, activity time). Logarithmic scaling prevents whale dominance.
3. Merkle proof construction: Off-chain calculation of root and proofs per address using OpenZeppelin standard with double hashing.
4. Smart contract: Solidity + Foundry, support for deadline and return of unclaimed tokens to treasury.
5. Claim UI: React + wagmi + RainbowKit, eligibility check via API, protection against viewing amounts before start.
6. Audit and testing: Formal verification with Slither, Mythril, and Echidna fuzzing. Code warranty provided.

Smart contract security assurance

In addition to standard tools (Slither, Mythril), we conduct formal verification with Echidna for fuzzing. Contracts are tested for reentrancy, overflow, and race conditions. For sensitive projects, external audits are engaged.

Development timeline

Cost is calculated individually depending on data complexity and functionality. Order an estimate in 1 day—we will send a commercial proposal. To get an estimate, fill out the form on the website, and we will contact you within a day.

Deliverables and support

Deliverables: Full smart contract source code, customizable claim UI source code, deployment scripts, administrative dashboard, technical documentation with API reference, airdrop launch guide, and post-deployment support for the first month. Optionally, we provide team training.

Our expertise and guarantees

With 5+ years of experience and over 50 realized airdrops, we ensure your token drop proceeds without technical failures or Sybil exploitation. Get a consultation on your project today by leaving a request.

Token Development: ERC-20, Tokenomics, Vesting

We’ve seen more rekt tokens than we can count — not because the code was broken, but because the economic assumptions were naive. A token that doesn’t collapse from inflation in six months, where governance actually works, and vesting can’t be bypassed through delegation tricks — that’s real engineering. We build under that standard.

How We Avoid Common ERC-20 Pitfalls

ERC-20 standard has nine functions. Complexity starts with extensions:

ERC-20Permit (EIP-2612) — gasless approve via signature. User signs permit(owner, spender, value, deadline, v, r, s) off-chain, spender calls permit() + transferFrom() in one transaction. Removes separate approve step. Risk: signature can be intercepted — need deadline and nonce checking. We always implement EIP-712 typed structured data to prevent signature malleability.

ERC-20Votes (EIP-5805) — snapshot balances for governance. Checkpoint system stores balance history by block number. getPastVotes(address, blockNumber) returns balance at proposal creation, not current. Prevents flash loan governance: can't borrow tokens and vote in one transaction.

Rebasing tokens (stETH, Ampleforth) — balanceOf changes automatically through internal shares ratio. High integration complexity: most DeFi protocols don't work correctly with rebasing without non-rebasing wrapper. We've deployed wrappers that decouple balance from share price for Uniswap compatibility.

Fee-on-transfer tokens — percentage cut on every transfer. Breaks AMM calculations: pool receives less than expected. Uniswap v2/v3 don't support natively — needs special pair/router. We’ve built custom routers that handle fee-on-transfer tokens without reverting.

Why Tokenomics Sustainability Matters More Than Excel

Tokenomics isn't Excel table summing to 100%. It's incentive model that either works long-term or creates selling pressure killing the project.

Emission Schedule and Inflation — Fixed supply (Bitcoin model) works for store-of-value, but for utility tokens you need controlled inflation. Inflationary model (like Ethereum post-Merge) generates new tokens to incentivize participants. Key balance: emission should be <= value captured by protocol. If protocol earns $100k/month but emission is $500k/month in market value — constant selling pressure inevitable. We model these scenarios using Python simulations with cadCAD for complex systems.

Supply Distribution — No universal formula. Principle: no single entity >33% voting power at launch. Otherwise governance is fiction.

What Are the Most Critical Vesting Contract Mistakes?

Linear vesting with cliff is standard for team and investors. cliff is the period after TGE with zero availability. After cliff: linear unlock until duration. Typical implementation errors we catch in audit:

• Revocable vesting without timelock — owner can revoke immediately. Solution: revocation through multisig + governance vote with 7-day delay.
• Cliff doesn't block governance rights — with ERC-20Votes, recipient can delegate voting power from day one even if tokens aren't unlocked. We explicitly separate voting power from claim logic.
• No emergency pause — if vesting contract vulnerability discovered, need ability to pause claims. Pausable + timelock on unpause.

We’ve seen a project where the cliff was set to 0 by mistake — team could dump immediately. Our fuzz tests catch such edge cases before deployment.

Why Is Liquidity Bootstrapping Crucial for Token Launch?

Launch mechanics are critical. Three main approaches:

• Balancer LBP — temporary pool with high initial token weight (90/10 project-token/USDC) that automatically decreases to 50/50 over days. Creates downward price pressure preventing bot buys at one price. After LBP liquidity moves to permanent pool.
• Fjord Foundry — specialized platform for LBP and fair launches. Less operational overhead than direct Balancer integration.
• Uniswap v3 with limited range — add liquidity in narrow range around initial price. High capital efficiency but requires active range management.
• TWAMM — mechanics for gradual large-order sales without slippage. Implemented in FraxSwap.

LBP is 3-5x better than standard AMM listing for price discovery; we’ve seen fair launches with 50% less initial dump compared to direct Uniswap listings.

Governance Tokens and Voting Mechanics

OpenZeppelin Governor is the standard. Modular: GovernorVotes for counting, GovernorTimelockControl for timelock execution, GovernorSettings for adjustable parameters. Quorum is minimum percentage of supply for voting validity. Compound set quorum at 400k COMP (4% supply). We set quorum dynamically based on historical participation to avoid apathy or whale capture.

Flash loan governance attack — attacker borrows tokens via flash loan, delegates to self, creates proposal or votes, returns tokens. ERC-20Votes with block-based snapshot completely blocks this: must have tokens at snapshot creation moment, not voting moment.

Delegation — small holders often don't vote. Liquid delegation (like Optimism) lets delegate voting power to addresses without transfer. Critical for protocols with many passive holders.

Token Development Stack

Contracts: Solidity 0.8.x, OpenZeppelin Contracts 5.x (ERC20, ERC20Permit, ERC20Votes, Governor, TimelockController, TokenVesting).
Tokenomics audit: Python models with emission/demand simulation, cadCAD for complex systems modeling.
Deployment and management: Foundry scripts, Gnosis Safe for treasury, OpenZeppelin Defender for automation.
Analytics: Dune Analytics for on-chain metrics, Token Terminal for protocol revenue.

What’s Included in the Work (Deliverables)

• Tokenomics model with stress tests (bear market, whale exit, governance capture)
• Contract development with Foundry fuzz tests (gas optimization, reentrancy tests, overflow checks)
• Audit summary and list of edge cases covered
• Deployment scripts with Gnosis Safe admin keys
• Documentation for future upgrades and maintenance
• 30-day post-launch monitoring support

Process

1. Tokenomics design — supply model, allocation, emission schedule, vesting. Stress-test scenarios.
2. Contract development — ERC-20 + extensions, vesting, governance. Foundry fuzz tests on vesting calculations, governance thresholds.
3. Audit — special attention on governance attack vectors, vesting bypass, permit replay attacks. We use Slither and Echidna for formal verification.
4. LBP / launch — choose mechanics, set parameters, monitor first 24 hours.
5. Post-launch — monitor supply distribution via Dune, governance participation metrics, treasury management.

Timelines

• ERC-20 with permit and basic governance: 2–3 weeks
• Vesting contract with revocation and cliff: 2–4 weeks
• Full governance (Governor + Timelock + Token): 4–7 weeks
• Token + LBP + governance + vesting: 8–14 weeks

We can estimate your project within 24 hours after discussing requirements. Contact us to start the conversation — no obligation, just a technical chat about your token model. Get a detailed proposal tailored to your tokenomics and compliance needs.