LEAD GENERATION
Daily digest of new stargazers grouped by company to Slack
Once a day, pulls everyone who starred your repo in the last 24 hours, groups them by employer.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule (morning)
- ActionFetch last-24h stargazersGitHub
- LogicGroup and rank by company
- OutputPost ranked digest to Slack channelSlack
What it does
Instead of per-star noise, this produces one clean daily summary. It collects the last day of new stargazers, clusters them by the company on their profile, counts how many engineers from each org starred, and posts a ranked list to a Slack channel. Companies with multiple stargazers float to the top as the strongest accounts.
When to use it
Use this when per-event alerts would be too noisy but you still want a daily pulse on which companies are paying attention to your project. Great for a #growth or #sales-signals channel.
How it works
- 1A daily schedule kicks off the run each morning.
- 2The flow fetches all stargazers added in the trailing 24 hours from GitHub.
- 3Stargazers are grouped by their org/company field and counted.
- 4A ranking step sorts orgs by stargazer count, then recency.
- 5The formatted digest is posted to the chosen Slack channel as a single message.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.