LEAD GENERATION

HuggingFace Author → Company Match & Enrich into Attio

Takes new HuggingFace Space authors, uses web search to find the company they work for, classifies fit, and writes both the person and their company to Attio with a clear…

CategoryLead Generation
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew HuggingFace Space publishedHugging FaceHugging Face
  • ActionPull author handle, bio, linksHugging FaceHugging Face
  • ActionWeb search for likely employerBraveBrave Search
  • LogicClassify company ICP fit
  • ActionUpsert company + linked person in AttioAttio
  • OutputEmit enriched lead with verdict

What it does

For each new HuggingFace Space author, this workflow searches the open web to attach a likely employer, then scores whether that company fits your ICP before creating linked person and company records in Attio.

When to use it

Reach for this when a raw HuggingFace handle isn't enough and your sales motion is company-led. It bridges an individual builder to the organization buying decision, so reps open conversations already knowing where the person works and whether they're worth pursuing.

How it works

  1. 1A new-Space event from HuggingFace triggers the run.
  2. 2A HuggingFace action pulls the author's handle, bio, and any public links.
  3. 3A Brave Search action queries the handle plus profile signals to find a probable employer and homepage.
  4. 4A logic step classifies company fit — segment, size signals, and stack relevance — and routes only matches forward.
  5. 5An Attio action creates or updates the company, then the linked person record, with the fit verdict and evidence links.
  6. 6The output emits the enriched lead and its fit reasoning.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect AttioReal-time CRM with structured data + powerful views.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.