Design a Collector-Ready NFT Drop with this AI Prompt
NFT ideas feel generic - the ultimate AI Prompt that builds a complete concept with…
Automate crypto price tracking, signal alerts, and daily reporting across your tools. Catch moves faster, reduce manual checks, and keep your team and clients updated in real time.
A workflow watches the data you care about, then triggers actions when conditions are met. For example, n8n can pull prices from CoinGecko every few minutes, compare them to your thresholds, and send an alert to Slack or Telegram. You can also log each signal to Google Sheets for reporting and audits. If you want context, OpenAI can turn raw numbers into a short “what changed and why it matters” summary. It’s monitoring, alerting, and reporting—hands-free.
Usually, no. Most Flowpast workflows are plug-and-play: you connect accounts, choose coins, set alert rules, and hit activate. If you can use Google Sheets and Slack, you can run these. Honestly, the “hardest” step is deciding what counts as noise versus a real signal. For advanced setups (custom APIs, multiple exchanges, complex logic), you may want a technical teammate, but it’s optional.
If you’re checking prices, copying numbers into a sheet, and sending updates, automation can cut this in half or more.
Start with an n8n account (cloud or self-hosted), then pick your data source and your notification channel. Many setups use CoinGecko for market data, Google Sheets for logs, and Slack or Telegram for alerts. You’ll need API keys for any service that requires them, plus a clear list of coins, thresholds, and alert frequency. Frankly, a simple daily digest is the best first win, then add real-time alerts once the team trusts the signal quality.
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