MARKET RESEARCH
Leaderboard Trend Dashboard Feed
Daily, captures full leaderboard rankings and metrics into a structured Airtable table so trends, score climbs, and lab momentum can be charted over time.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule
- ActionPull complete leaderboard with metricsHugging Face
- LogicNormalize records with capture date
- OutputAppend daily rows to AirtableAirtable
What it does
This workflow builds the historical dataset behind a competitive-trends dashboard. Each day it captures the entire HuggingFace leaderboard — ranks, scores, model families, and submitting orgs — normalizes the records, and appends them to an Airtable table. Over weeks the accumulated rows let you chart score progression, lab momentum, and how quickly new architectures climb.
When to use it
Use it when a single digest isn't enough and you want queryable time-series data for charts, pivots, or analyst exploration. Ideal for research ops building a living view of the open-model market rather than point-in-time alerts.
How it works
- 1A daily schedule triggers capture.
- 2HuggingFace returns the complete leaderboard with all metrics.
- 3A logic step normalizes each model into a consistent record shape with the capture date.
- 4Airtable appends the day's rows to the historical table.
- 5The run finishes by confirming the snapshot count, leaving the dataset ready for dashboard charts.
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 this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.