LEAD GENERATION
Spaces Built on a Target Model → Author Shortlist in Airtable
Watches HuggingFace for new Spaces that depend on a model or library you care about, identifies their authors, and logs qualified buyer leads into an Airtable outreach base.
How it runs
The automated pipeline, trigger to output.
- TriggerRecurring poll schedule
- ActionSearch new Spaces using target modelHugging Face
- LogicFilter by traction, drop forks
- ActionLook up each Space author profileHugging Face
- ActionAppend qualified leads to AirtableAirtable
- OutputReport qualified author count
What it does
Monitors HuggingFace for newly published Spaces that use a specific base model, framework, or SDK you sell around, finds the person who built each Space, and appends a qualified-lead row to Airtable for your SDR queue.
When to use it
Use this for competitive or ecosystem plays — for example, surfacing everyone shipping demos on a particular open model so you can pitch hosting, fine-tuning, or eval tooling to people already invested in that stack.
How it works
- 1A schedule polls HuggingFace on a regular cadence.
- 2A HuggingFace action searches Spaces filtered by your target model or SDK tag, returning only ones created since the last run.
- 3A logic filter keeps Spaces above a minimum traction threshold and discards forks or duplicates.
- 4A HuggingFace action looks up each author's handle, org membership, and public profile.
- 5An Airtable action writes one row per author with the Space, the matched model, and a suggested outreach angle.
- 6The output reports the count of qualified authors added this run.
Set it up
What you configure once, before turning it on.
- 1Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 2Connect AirtableBases, tables, views, automations.
- 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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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.
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