I've been fascinated by the chaos of memecoin trading on Solana - it's this weird intersection of DeFi innovation and pure speculation that creates some interesting technical challenges.
After watching friends lose track of hundreds of micro-trades across different wallets (and subsequently their sanity trying to calculate P&L), I built a tool that automatically journals Solana memecoin trades by monitoring public wallet addresses.
The problem I'm solving:
Traders often use multiple wallets for different strategies
Manual trade logging is painful when you're making 10-50 trades per day
Most existing tools are either too complex or don't handle the unique aspects of memecoin trading (extreme volatility, new tokens appearing hourly, etc.)
Technical approach:
Monitors public Solana wallet addresses (no private key required)
Automatically detects token swaps and categorizes them
Calculates P&L across multiple wallets
Allows users to add context/notes to trades for pattern recognition
The interesting challenge was handling the data stream from Solana's RPC endpoints efficiently while dealing with tokens that literally didn't exist an hour ago. Also had to build some heuristics to differentiate between actual trades and other on-chain activity.
Current status: Free MVP is live. No monetization yet - just trying to validate if this actually helps people or if I'm solving a problem that doesn't exist.
What I'm looking for:
Feedback on the approach - am I missing something obvious?
Technical suggestions for handling high-frequency wallet monitoring
Whether this seems useful to anyone here (even if you're not into memecoins)
I know crypto/memecoin tools can be polarizing here, but I'm genuinely interested in the technical and UX challenges of financial data tracking tools. Even if you think memecoins are silly, the underlying problems of transaction monitoring and trade journaling apply to any high-frequency trading scenario.
Would love your thoughts. Link in profile if you want to check it out (completely free, no signup required for basic features).
Traders often use multiple wallets for different strategies Manual trade logging is painful when you're making 10-50 trades per day Most existing tools are either too complex or don't handle the unique aspects of memecoin trading (extreme volatility, new tokens appearing hourly, etc.)
Technical approach:
Monitors public Solana wallet addresses (no private key required) Automatically detects token swaps and categorizes them Calculates P&L across multiple wallets Allows users to add context/notes to trades for pattern recognition
The interesting challenge was handling the data stream from Solana's RPC endpoints efficiently while dealing with tokens that literally didn't exist an hour ago. Also had to build some heuristics to differentiate between actual trades and other on-chain activity. Current status: Free MVP is live. No monetization yet - just trying to validate if this actually helps people or if I'm solving a problem that doesn't exist. What I'm looking for:
Feedback on the approach - am I missing something obvious? Technical suggestions for handling high-frequency wallet monitoring Whether this seems useful to anyone here (even if you're not into memecoins)
I know crypto/memecoin tools can be polarizing here, but I'm genuinely interested in the technical and UX challenges of financial data tracking tools. Even if you think memecoins are silly, the underlying problems of transaction monitoring and trade journaling apply to any high-frequency trading scenario. Would love your thoughts. Link in profile if you want to check it out (completely free, no signup required for basic features).
Thanks for reading!
Rayan - FIKR