SolTrack System Architecture

SolTrack ingests blockchain data directly from Solana RPC nodes and indexers while simultaneously monitoring social signals across X and Telegram. The processing layer analyzes wallet activity, token launches, and liquidity events before passing them through the intelligence layer where wallet scoring, bundle detection, and AI filtering occur. Verified signals are stored and delivered through the dashboard, extension, and alert system.

SolTrack AI Engine

The SolTrack AI engine analyzes wallet behavior across multiple models including profitability, entry timing, and trading patterns. Wallets are scored and grouped into clusters before being correlated with social signals detected through NLP analysis. Only signals that pass the AI validation layer are delivered to users.

Trader Workflow: Finding Early Runners

When a new token launches, SolTrack detects smart wallet entries and bundle activity. The AI engine validates these signals before sending alerts to users. Traders receive intelligence before the broader market discovers the token, allowing them to position early.

Insider Wallet Identification Flow

SolTrack analyzes wallet clusters interacting with newly launched tokens. The system evaluates funding sources, synchronized entries, and repeated trading behavior across multiple wallets. These relationships are mapped into a wallet graph, where AI models estimate the probability of insider coordination. Wallets passing the threshold are labeled and tracked as insider clusters.

Meme Coin Lifecycle Intelligence

SolTrack tracks the early phases of a meme coin lifecycle. The system identifies developer accumulation, smart wallet entries, and coordinated bundle activity before social media attention begins. By detecting these signals early, traders can observe capital positioning before retail inflow drives price expansion.