Automations, described by what they do

15,351 working automation workflows. Every description is composed from the workflow's own steps: what starts it, which services it touches, whether it hands judgement to a model, and how much there is to read.

Browse the libraryBrowse by job

Cleaned of credentials and personal data. Ready to import.

Running now3 steps

Send daily Mailchimp subscriber reports to Slack

Waiting for a trigger
Workflows15,351working automations
Call a model7,615hand a step to AI
Services60apps they connect
Small5,286readable in one sitting

What they're for

17 kinds of job

The library

252 found

AllContentAlerts and monitoringData collectionIntegrationsLead generationResearch and reportingAI assistantsSchedulingMoney adminDocuments and filesChat assistantsCustomer supportE-commerceCRMHiringSetup and learningStrategy and planningSlack ✕

Lead generationEnrich form leads with Lusha and HubSpotStarts on another system calling it · 10 stepsHubSpotSlackLead generationFind emails with DropcontactStarts on someone submitting a form · 10 stepsAirtableSlackLead generationGenerate local business leads with Google Places and NotionStarts on another system calling it · 10 stepsNotionSlackLead generationJotform lead qualification with Hunter.io and SlackStarts on an event in a connected app · 10 stepsGoogle SheetsHubSpotSlackLead generationRoute medical equipment form leads to Google Sheets and SlackStarts on someone submitting a form · 10 stepsGoogle SheetsSlackLead generationScore multi-signal buying intent and prioritize leadsStarts on a clock · 10 stepsGoogle SheetsSlackLead generationAutomated lead qualification & nurturing with JotFormStarts on an event in a connected app · 11 stepsEmailGoogle SheetsHubSpotSlackLead generationCapture and deduplicate website leads in Google SheetsStarts on another system calling it · 11 stepsGoogle SheetsSlackLead generationEnrich IP addresses with IPinfo and SlackStarts on another system calling it · 11 stepsSlackLead generationEnrich domain contact data in paced batches with ApifyStarts on a clock · 11 stepsApifyGmailGoogle SheetsSlackLead generationEnrich up to 1500 emails per hour with DropcontactStarts on a clock · 11 stepsPostgresSlackLead generationReal estate property matching & lead management with AirtableStarts on another system calling it · 11 stepsAirtableGmailSlackLead generationReal-time lead enrichment in Slack with Extruct AIStarts on an event in a connected app · 11 stepsSlackLead generationRoute Tally affiliate leads to Google SheetsStarts on an event in a connected app · 11 stepsGoogle DriveGoogle SheetsSlackLead generationTurn lead emails into LinkedIn profiles with Google SheetsStarts on an event in a connected app · 11 stepsGoogle SheetsSlackLead generationAutomated lead capture, scoring & CRM integration with HubSpotStarts on another system calling it · 12 stepsHubSpotSlackLead generationMonitor supply chain risks with ScrapeGraphAI and SlackStarts on a clock · 12 stepsEmailSlackLead generationScore and enrich inbound leads with Lusha and SlackStarts on another system calling it · 12 stepsHubSpotSlackLead generationEnrich inbound leads with ApogeoAPI and SlackStarts on another system calling it · 13 stepsGoogle SheetsSlackLead generationFind and score Reddit B2B leads with OpenAI and Google SheetsStarts on a clock · 13 stepsGoogle SheetsSlackLead generationQualify and book Facebook leads with ElevenLabs and CalStarts on another system calling it · 13 stepsGmailSlackSupabaseLead generationScore and route inbound leads with Claude and HubSpotStarts on another system calling it · 13 stepsGmailHubSpotSlackLead generationSmart Lead Qualification & Routing from Typeform to HubSpotStarts on another system calling it · 13 stepsGoogle SheetsHubSpotSlackLead generation# Unified Lead & Support Automation - L0 (Legacy) Free TemplateStarts on another system calling it · 14 stepsEmailGoogle SheetsHubSpotSlack

Start small

A few you can read in one sitting

What we took out

Cleaned before anything was stored

These files carry more of whoever built them than is obvious. All of it is stripped, and every file was checked, not sampled. Where an author left a live document behind, it is replaced with the placeholder the careful ones used, so you can still see what belongs there.

Triggers

What starts them

  1. A clock4,166
  2. An event in a connected app3,946
  3. Another system calling it2,801
  4. An arriving email1,591
  5. Someone submitting a form1,545
  6. Someone opening a chat with it895
  7. A change in a Google Sheet216

Services

What they touch

Google Sheets5,229Gmail3,419Slack2,307Telegram1,809Google Drive1,540Email863Airtable554Google Calendar480Notion471RSS404Postgres306WhatsApp285

Read the workflows

Filter 15,351 automations by what they do, what they connect to and how big they are, and open the definition itself, ready to import.

Q&A

What are these?

Working automations: the definition of each, ready to import, with a description composed from its own steps.

Why are some descriptions unflattering?

Because they say what the workflow does. One that is four steps and a webhook is described as four steps and a webhook, so you can decide from the page whether it is worth your afternoon.

What was removed from the files?

Instance identifiers, canvas notes with personal links and email addresses, saved credential names, and live documents left in by their authors. Every file was checked, not sampled.

What do I need to run them?

A workflow automation tool that imports these definitions. Each imports as it is; you add your own credentials.