LEAD GENERATION
OSS Dependents Miner: Find Companies Using Your Package and Draft ICP Outreach into Attio
Scans the GitHub dependency graph for your open-source package, enriches each dependent repo's owning company, scores ICP fit.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule kicks off the dependents scan
- ActionFetch repos depending on your package via GitHub dependency graphGitHub
- ActionResolve each owning org to company site, size, industryBrave Search
- LogicScore ICP fit and drop personal/sub-threshold accounts
- ActionDraft a usage-specific outreach opener per qualified accountOpenAI
- OutputCreate company + person records with draft in AttioAttio
What it does
Turns your OSS adoption into a pipeline. It pulls the list of public repositories that depend on your package via GitHub's dependency graph, identifies the company behind each dependent org, scores how well it matches your ideal customer profile, and writes only the qualified accounts into Attio with a ready-to-send opening line that references the exact repo and how they use your package.
When to use it
Run it weekly if you maintain a popular OSS library and want sales to chase the companies already running your code. Best when your dependents skew toward business orgs rather than hobby projects, and you want outreach grounded in real usage signals instead of cold guesses.
How it works
- 1A weekly schedule fires the run.
- 2GitHub returns repos depending on your package plus their owning orgs.
- 3Brave Search resolves each org to a company website, size, and industry.
- 4An ICP scoring step filters out personal accounts and sub-threshold fits.
- 5OpenAI drafts a usage-specific opener per qualified account.
- 6Qualified leads land in Attio as people/company records with the draft attached.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect Brave SearchWeb, news, image, video search.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect AttioReal-time CRM with structured data + powerful views.
- 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.
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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).
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.
Classify open-text webinar poll answers with AI and enrich the lead record
For webinars that use free-text poll questions, an AI step reads each attendee's written answers, classifies intent and pain points into structured fields.
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.