MARKET RESEARCH
Keyword watchlist scanner to Coda tracker
On a schedule, searches GitHub for repos matching your topic keywords, scores each on recent star growth.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled scan cadence
- ActionSearch GitHub per watchlist keywordGitHub
- LogicScore on growth and recency, drop low signal
- ActionRead existing Coda tracker rowsCoda
- OutputUpsert qualifying repos into CodaCoda
What it does
Maintains a living Coda tracker of open-source projects in the topics you care about. Instead of relying on the global trending list, it searches GitHub for your specific keywords (e.g., "vector database", "agent framework"), scores each match on recent growth, and keeps the tracker rows in sync.
When to use it
Use it when you watch a defined niche rather than all of GitHub — analysts tracking a category, founders monitoring competitor tooling, or teams curating a build-vs-buy shortlist.
How it works
- 1A scheduled trigger fires on your chosen cadence.
- 2A GitHub action runs a search query per watchlist keyword and returns matching repos with star and update metadata.
- 3A logic step scores each repo on recent star growth and recency, then drops low-signal matches below threshold.
- 4A Coda action reads existing tracker rows to find new versus known repos.
- 5A Coda output step upserts each qualifying repo, updating growth scores on existing rows and inserting new finds.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect CodaDocs, packs, 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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