LEAD GENERATION
New GitHub Stargazers to ICP-Scored Outbound Packet
Watches your OSS repo for new stargazers, enriches each one's company and role, scores them against your ICP.
How it runs
The automated pipeline, trigger to output.
- TriggerNew stargazer on watched repoGitHub
- ActionFetch stargazer profile and orgGitHub
- ActionEnrich person and company via ExaExa
- LogicScore against ICP; drop low-fit
- ActionUpsert qualified lead in AttioAttio
- OutputPost research packet to sales SlackSlack
What it does
Every time someone stars your open-source repo, this pulls their public profile, enriches the person and company behind the account, scores the fit against your ideal customer profile, and hands sales a ready-to-action packet for the strong matches.
When to use it
Run this when your dev tool grows through its GitHub repo and stars are a real top-of-funnel signal. It turns vanity star counts into named accounts your team can actually reach out to, without anyone manually checking profiles.
How it works
- 1A new star on the watched repo fires the trigger.
- 2Fetch the stargazer's GitHub profile, public org, and bio.
- 3Run an Exa search on their name plus company to find role, employer, and recent context.
- 4Score against ICP rules (company size, industry, seniority). Low-fit accounts stop here.
- 5Upsert the qualified person and company into Attio with the enrichment attached.
- 6Post a packet to the sales Slack channel with the score, links, and a suggested opening line.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect ExaNeural search across the web.
- 3Connect AttioReal-time CRM with structured data + powerful views.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Lead Generation workflows
Manual Brave keyword sweep into an Airtable research board
On demand, sweeps a topic across Brave Search, clusters the results by buying stage with an LLM, and writes a deduplicated research board to Airtable with company, source URL.
Fast-track hot webinar leads into HubSpot and ping the rep on Slack
After a webinar, identify attendees whose poll answers signal high purchase intent, create or update their HubSpot contact with a lead score.
Webhook-triggered Brave rising-keyword check into a Notion trend queue
When an external trend or alert tool fires a webhook with a keyword, checks Brave for current intent volume and freshness, has an LLM judge whether it's a real warm signal.
Fuzzy-match badge companies to Salesforce accounts and enrich
Resolves messy hand-typed company names from badge scans to canonical Salesforce accounts using domain and fuzzy-name matching, enriches missing firmographics.
Daily rollup of scored webinar leads from Airtable into HubSpot lists
On a schedule, read newly scored webinar leads from Airtable, sync each into the matching HubSpot tiered list (Hot/Warm/Cold).
Instantly triage uploaded badge CSVs and notify the SDR lead
Accepts a badge-scan CSV via webhook, validates and dedupes it on the spot, checks each attendee against HubSpot.
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.
