LEAD GENERATION
Agent-Researched Dependent-Org Accounts From Star Spikes
On a daily schedule, an agent investigates organizations whose engineers recently starred your repo, builds a full company research dossier with web context.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule starts run
- ActionCollect stargazer orgs from GitHubGitHub
- ActionAgent runs iterative web researchExa
- LogicAgent assesses fit and finds champions
- ActionCross-check signals via Brave SearchBrave Search
- OutputPush account dossier to HubSpotHubSpot
What it does
Each day an autonomous agent takes the orgs behind recent stargazers, researches each company end to end — what they build, their stack, why your tool fits, who to contact — and produces a narrative account dossier rather than a row of fields.
When to use it
Use this when you want deep, reasoned account research instead of a flat enrichment record. The agent decides what to dig into per company, so dossiers read like an SDR did an hour of homework on each target.
How it works
- 1A daily schedule starts the run.
- 2Collect orgs tied to stargazers from the last day via GitHub.
- 3For each org, the agent runs iterative Exa and Brave searches to gather product, stack, and hiring signals.
- 4The agent reasons over the findings to assess fit and identify likely champions.
- 5It drafts a structured account dossier with a recommended outreach angle.
- 6Push the dossier into HubSpot as a company record with the research attached.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect ExaNeural search across the web.
- 3Connect Brave SearchWeb, news, image, video search.
- 4Connect HubSpotCRM, deals, marketing, support.
- 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.