MARKET RESEARCH
Term Velocity Tracker: Brave + Exa to Coda Dashboard
Cross-checks a watchlist of emerging terms across Brave Search and Exa to score how fast each term is gaining traction.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule triggers run
- ActionPull term signals from Brave SearchBrave Search
- ActionPull fresh sources from ExaExa
- LogicCompute velocity score and weekly delta
- OutputUpdate Coda velocity dashboardCoda
What it does
Measures momentum, not just presence. For each term on your watchlist it gathers result volume and recency signals from both Brave Search (mainstream web) and Exa (semantic, fresher sources), combines them into a weekly velocity score, and updates a Coda table that charts which terms are accelerating, flat, or fading.
When to use it
Use it when you have several candidate names for a category and need data on which one is actually winning adoption before you commit messaging and SEO budget. Best for teams deciding which emerging label to standardize on.
How it works
- 1A weekly schedule triggers the run.
- 2Brave Search returns result counts and recent hits per watchlist term.
- 3Exa returns semantically matched recent sources per term for a freshness signal.
- 4A logic step normalizes both signals into a single velocity score and compares it to last week's.
- 5Scores and week-over-week deltas are written to a Coda dashboard table for charting.
Set it up
What you configure once, before turning it on.
- 1Connect Brave SearchWeb, news, image, video search.
- 2Connect ExaNeural search across the web.
- 3Connect CodaDocs, packs, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Discover Adjacent Segments from BigQuery and Rank Expansion Bets
On a schedule, scans BigQuery public industry data for fast-growing NAICS sectors adjacent to your core segments, scores them as expansion bets.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
