LEAD GENERATION
Trending HuggingFace Spaces → Attio Lead Records
Each morning, pulls trending HuggingFace Spaces, identifies the authoring person or org behind each one, enriches with public links, and creates or updates a lead record in Attio.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily morning schedule
- ActionFetch trending HuggingFace SpacesHugging Face
- ActionResolve each Space author profileHugging Face
- LogicDedupe against existing Attio records
- ActionUpsert net-new authors as Attio leadsAttio
- OutputWrite run summary of new leads
What it does
Scans the trending HuggingFace Spaces feed daily, extracts the author handle behind each Space, and turns active ML builders into structured lead records in your Attio CRM — deduplicated so you never create the same person twice.
When to use it
Run this when your ICP is people actively shipping ML demos and tooling. Trending Spaces surface builders with real traction, making them strong outbound targets for developer-tools, inference, or infra products.
How it works
- 1A daily schedule fires the workflow each morning.
- 2A HuggingFace action fetches the current trending Spaces with their author handles, like counts, and SDK type.
- 3A second HuggingFace action resolves each author's profile (display name, org-vs-user, public links).
- 4A logic step dedupes against existing Attio records by HuggingFace handle and drops authors already in the pipeline.
- 5An Attio action upserts each new author as a lead, stamping the Space name, traction metrics, and source.
- 6The final output writes a run summary so you can see how many net-new leads landed.
Set it up
What you configure once, before turning it on.
- 1Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 2Connect AttioReal-time CRM with structured data + powerful views.
- 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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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.
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