How SafeMeme Works

Understanding the risks before you invest

Our Mission

SafeMeme is an educational tool designed to help you understand the risks associated with memecoins and other speculative tokens. We analyze smart contracts and on-chain data to provide you with a clear safety score and detailed risk breakdown.

Important: We do NOT provide financial advice or investment recommendations. Our goal is to educate you so you can make informed decisions and practice DYOR (Do Your Own Research).

Risk Checks Explained

🍯

Honeypot Detection

Critical

A honeypot is a scam where you can buy tokens but cannot sell them. We check for common honeypot patterns in the contract code.

✅

Contract Verification

High

Verified contracts have their source code publicly available on block explorers. Unverified contracts are extremely risky as you cannot see what the code does.

🔒

Liquidity Lock

High

Locked liquidity means the developers cannot remove trading liquidity (a "rug pull"). Unlocked liquidity is a major red flag.

🪙

Mint Function

Medium

If the contract has a mint function, the owner can create unlimited new tokens, diluting your holdings. Fixed supply is safer.

👥

Holder Concentration

Medium

If a few wallets hold most of the supply, they can manipulate the price. More distributed ownership is healthier.

How We Calculate Safety Scores

We start with a base score of 100 and deduct points based on risk factors:

  • •Honeypot detected: -99 points (almost certain scam)
  • •Unverified contract: -40 points
  • •Liquidity not locked: -30 points
  • •Mintable supply: -20 points
  • •High holder concentration: -5 to -15 points
70-100
Relatively Safe
40-69
Moderate Risk
0-39
High Risk

Data Sources

Currently, SafeMeme uses mock data for demonstration purposes. This allows you to explore the interface and understand how risk analysis works.

In a production environment, SafeMeme would integrate with real blockchain APIs such as:

  • →Block explorers (Etherscan, BscScan) for contract verification
  • →DEX aggregators (DexScreener, GeckoTerminal) for price and liquidity data
  • →On-chain analytics for holder distribution and wallet analysis
Start Analyzing Tokens