MARKET RESEARCH
On-demand deep dive on a trending repo
Triggered by a webhook with a repo name, an agent gathers GitHub stats, web reputation, and historical velocity from BigQuery.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook with target repo nameHTTP webhook
- ActionCollect repo metadata from GitHubGitHub
- ActionRetrieve velocity history from BigQueryBigQuery
- ActionGather external reputation via Brave SearchBrave Search
- LogicSynthesize structured deep dive
- OutputPublish one-pager to CodaCoda
What it does
Produces an on-demand analyst-style deep dive for a single repository. Given a repo name, it assembles GitHub signals (stars, contributors, release cadence, license), pulls external reputation from the web, layers in the velocity history you've been logging to BigQuery, and writes a structured one-pager to Coda.
When to use it
Use it when a teammate flags a project worth investigating and you want a consistent, sourced brief in minutes instead of an hour of manual tab-hopping — ideal for diligence, partnership scoping, or build-vs-buy calls.
How it works
- 1A webhook trigger receives the target repository name.
- 2A GitHub action collects repo metadata, contributor counts, releases, and license.
- 3A BigQuery action retrieves the repo's logged star/fork velocity history.
- 4A Brave Search action gathers external mentions, comparisons, and recent news.
- 5An agent step synthesizes a structured deep dive with strengths, risks, and momentum read.
- 6A Coda output step publishes the one-pager to the research workspace.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect BigQueryDatasets, queries, schemas.
- 4Connect Brave SearchWeb, news, image, video search.
- 5Connect CodaDocs, packs, automations.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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