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.

CategoryMarket Research
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook with target repo nameHTTP webhook
  • ActionCollect repo metadata from GitHubGitHubGitHub
  • ActionRetrieve velocity history from BigQueryGoogle BigQueryBigQuery
  • ActionGather external reputation via Brave SearchBraveBrave Search
  • LogicSynthesize structured deep dive
  • OutputPublish one-pager to CodaCodaCoda

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

  1. 1A webhook trigger receives the target repository name.
  2. 2A GitHub action collects repo metadata, contributor counts, releases, and license.
  3. 3A BigQuery action retrieves the repo's logged star/fork velocity history.
  4. 4A Brave Search action gathers external mentions, comparisons, and recent news.
  5. 5An agent step synthesizes a structured deep dive with strengths, risks, and momentum read.
  6. 6A Coda output step publishes the one-pager to the research workspace.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect BigQueryDatasets, queries, schemas.
  4. 4
    Connect Brave SearchWeb, news, image, video search.
  5. 5
    Connect CodaDocs, packs, automations.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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