Pump.fun Twitter Alerts

Direct answer

Pump.fun Twitter alerts should combine tracked account monitoring, keyword filters, OCR, and token detection before downstream trading logic acts.

What to monitor

Pump.fun social monitoring starts with the accounts and keywords that reliably precede launches, migrations, or high-volume attention.

• Creator and project accounts
• Memecoin KOL accounts
• Launch keywords and ticker patterns
• Screenshots that include contract addresses

Why enrichment matters

TweetStream is useful because OCR and token detection can surface contract-like data that a plain text alert may miss.

Implementation asset: adaptable code example

Use this filter for pump.fun watchlists where screenshots and launch language matter. Adapt the terms, tracked accounts, and destination to your own routing rules.

const watchTerms = ["pump.fun", "launch", "bonding", "contract"];
const destination = "pumpfun-watchlist";

export function routePumpFunSignal(event: {
  d?: {
    author?: string;
    detected?: { tokens?: Array<unknown> };
    ocr?: string;
    text?: string;
  };
}) {
  const text = `${event.d?.text ?? ""} ${event.d?.ocr ?? ""}`.toLowerCase();
  const matchedTerm = watchTerms.find((term) => text.includes(term.toLowerCase()));
  const hasTokenSignal = Boolean(event.d?.detected?.tokens?.length);

  return {
    author: event.d?.author,
    deliver: Boolean(matchedTerm || hasTokenSignal),
    destination,
    matchedTerm,
  };
}

Why implement this with TweetStream

You can build this workflow from raw APIs, polling, and custom scraping, but TweetStream is the better starting point when speed, structured payloads, token/OCR enrichment, and reliable WebSocket delivery matter. Start the 3-day trial and route your first high-signal accounts into your alerting or trading flow.

Questions