Postgres to Slack, daily signup updates everyone trusts
Pull daily signup counts from Postgres and post the same update to Slack. Keep standups…
Automate weekly and monthly reporting without spreadsheets chaos. Pull data from your tools, clean it, and deliver clear dashboards and summaries to Slack or emailβon schedule.
You connect the tools where your data lives (ads, CRM, project apps, spreadsheets), then schedule a workflow to pull new records, clean them up, and publish results. Many teams write metrics into Google Sheets or Airtable, then push a short KPI summary to Slack or Gmail. You can also add AI to explain changes, flag odd spikes, and turn raw tables into a readable weekly update. The workflow runs on a timer or when new data arrives.
No. Most Flowpast workflows are plug-and-play: connect accounts, choose a report template, and set a schedule. If you can handle basic settings like date ranges and filters, youβll be fine. When you want something customβlike blending HubSpot pipeline with campaign spendβlight tweaks help, but you donβt need to code.
For many teams, it cuts reporting work in half, and sometimes more. If you spend about 2 hours every week exporting data, cleaning it, and writing updates, automation can turn that into a quick review and a few edits. The bigger gain is consistency. You stop missing deadlines, and you stop sending numbers you donβt fully trust. That makes reviews faster and conversations more useful.
Youβll need access to the accounts you want to report on (for example Google Sheets, Slack, HubSpot, Airtable) and permission to connect them in n8n. Pick a workflow, add your credentials, and set where the output should go (a sheet, a table, an email, or a Slack channel). Some setups also need a shared dashboard file or a destination database. Frankly, the only βhardβ part is agreeing on the KPIs first.
Pull daily signup counts from Postgres and post the same update to Slack. Keep standups…
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