MARKET RESEARCH
Weekly OSS landscape brief published to Coda
Once a week, ranks the fastest-rising trending repos from BigQuery history, enriches the top movers with web context.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionRank top movers from BigQuery historyBigQuery
- LogicSelect top movers, dedupe vs last week
- ActionEnrich repos with Brave Search contextBrave Search
- ActionDraft landscape brief with OpenAIOpenAI
- OutputPublish brief to Coda docCoda
What it does
Turns a week of accumulated trending-repo snapshots into a readable narrative brief in Coda. It surfaces the top momentum gainers, explains what each project is using fresh web context, and groups them by category so non-engineers can scan the OSS landscape in two minutes.
When to use it
Use it for a recurring Monday market-research digest when leadership or product wants a curated weekly read on emerging open-source tools without parsing raw tables.
How it works
- 1A weekly scheduled trigger fires.
- 2A BigQuery action queries the past seven days of snapshots and ranks repos by aggregate star velocity.
- 3A logic step selects the top movers and dedupes against last week's brief.
- 4A Brave Search action pulls a one-line description and recent news for each top repo.
- 5An OpenAI action drafts the brief with categories, rankings, and short writeups.
- 6A Coda output step writes the formatted brief into the team's research doc.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect Brave SearchWeb, news, image, video search.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect CodaDocs, packs, automations.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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