Memecoins are highly community-driven projects, where trust and transparency matter more than complex token mechanics. Because anyone can launch a token, the main engineering challenge isn’t about over-engineering features — it’s about building clean, verifiable, and tamper-proof smart contracts that the community can inspect and trust. My focus in these projects was to ensure maximum transparency through open-source standards, visible ownership, and locked liquidity.
All token contracts were developed using the OpenZeppelin ERC-20 Standard Library — the same framework used by most audited Ethereum projects, and deployed in Remix. By relying on these standardized, well-tested libraries, the source code could be easily verified on Etherscan or BaseScan, giving users and analytics platforms an immediate green checkmark. This approach ensures compatibility with all major DeFi tools, including Dexscreener, Dextools, and automated audit services that detect potential rug-pull or exploit risks.
After deployment, a separate task was to validate every security and trust signal. This included confirming ownership status (renounced or multi-sig), checking contract logic through automated scanners like TokenSniffer, and ensuring all rug-pull risk detectors displayed green verification marks. The goal was a fully transparent and fair-launch setup, where the development team controlled only a small, clearly visible percentage of the token supply and all liquidity was publicly locked.
Liquidity setup was handled through Uniswap V2 and V3, both on Ethereum and Base. Pairs were created against ETH or USDC, and then liquidity NFTs or LP tokens were locked via UNCX (Unicrypt) or burned. This guaranteed that liquidity could not be withdrawn, making the launch verifiably safe.
For growth and initial community outreach, I also automated mass airdrop distributions to holders of similar meme tokens, designed to target verified wallets and drive awareness among active meme communities.
For post-deployment visibility, I handled premium listings on Dexscreener, Dextools, and CoinMarketCap, integrating token metadata, logos, and price feeds.
I additionally contributed to token economy configuration — emission parameters, transaction tax setup, and initial LP weighting — to maintain economic balance without introducing opaque or exploitable features.
