LEAD GENERATION
On-Demand HuggingFace Spaces Author Scout → Slack Digest
On a manual run, searches HuggingFace Spaces for a keyword or topic, identifies the authors behind the top results.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with topic keyword
- ActionSearch Spaces by keywordHugging Face
- ActionEnrich distinct authorsHugging Face
- LogicRank by traction and recency
- ActionPost prospect digest to SlackSlack
- OutputLog topic and shortlist size
What it does
Gives your team a one-click way to scout HuggingFace for builders working on a chosen topic. It searches Spaces by keyword, resolves each author, ranks them by traction and recency, and drops a clean prospect digest into Slack.
When to use it
Use it ahead of a campaign, a conference, or a new-segment experiment when you want a fast, human-reviewable shortlist rather than a standing pipeline feed. The Slack digest keeps a human in the loop before anyone gets added to a CRM.
How it works
- 1A manual trigger starts the run with a topic keyword as input.
- 2A HuggingFace action searches Spaces matching the keyword and returns the top results with authors and like counts.
- 3A HuggingFace action enriches each distinct author with profile and public links.
- 4A logic step ranks authors by traction and how recently they shipped, keeping the strongest.
- 5A Slack action posts a formatted digest with author, Space, score, and quick links to the chosen channel.
- 6The output records the topic and the shortlist size for the run log.
Set it up
What you configure once, before turning it on.
- 1Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 2Connect SlackChannels, DMs, threads, mentions.
- 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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