MARKET RESEARCH
Hugging Face watched-author dataset release alert
Triggers on a Hugging Face Hub webhook when a tracked org or author publishes a new dataset, verifies it matches your domain.
How it runs
The automated pipeline, trigger to output.
- TriggerHugging Face Hub webhook on dataset eventHugging Face
- LogicConfirm new dataset matches watched author and domain
- ActionRead card for summary and modalityHugging Face
- OutputPost instant Discord alertDiscord
- OutputSlack DM the owning analystSlack
What it does
Gives you near-real-time alerts the moment a specific lab, company, or author you follow on Hugging Face drops a new dataset. Rather than polling, it listens for a Hub webhook, confirms the release fits your research domain, and immediately notifies your team channel and the analyst who owns that author so nobody learns about a key release late.
When to use it
Use it when a handful of high-signal sources (a named research lab, a frontier-model org) matter enough that you want push notifications the instant they publish, not a next-morning digest.
How it works
- 1A Hugging Face Hub webhook fires on a dataset event from a watched author.
- 2A logic step confirms the event is a new dataset and matches your domain tags, discarding edits and off-topic releases.
- 3An action reads the dataset card for a one-line summary and modality.
- 4The output posts an instant alert to a Discord channel.
- 5A second output sends a Slack direct message to the analyst who owns that author.
Set it up
What you configure once, before turning it on.
- 1Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 2Connect DiscordCommunity channels + voice + bots.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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