MARKET RESEARCH
Weekly Emerging-Jargon Digest for a Niche
Every Monday, searches Brave for recently surfaced terminology in your chosen niche, deduplicates against terms you've already logged.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly Monday schedule fires
- ActionBrave Search: recent niche contentBrave Search
- ActionOpenAI: extract candidate terms + definitionsOpenAI
- LogicDedupe against known terms in Coda glossaryCoda
- ActionAppend new terms to Coda glossaryCoda
- OutputPost new-jargon digest to SlackSlack
What it does
Runs a recurring scan that catches the new words, acronyms, and named concepts bubbling up in a specific industry niche before they go mainstream. It searches Brave for fresh content, filters out terminology you already know about, and delivers only the net-new terms as a readable Slack digest.
When to use it
Use this when you own positioning, content, or competitive intel for a niche where vocabulary shifts fast (AI tooling, fintech, climate tech) and you need a low-effort weekly pulse on what language buyers and competitors are starting to use.
How it works
- 1A schedule fires every Monday morning.
- 2Brave Search runs your niche query with a recent-time filter to pull the latest articles and discussions.
- 3An OpenAI step extracts candidate terms and short definitions from the result snippets.
- 4A logic step compares candidates against a Coda table of previously seen terms and keeps only new ones.
- 5New terms are appended to the Coda glossary for future deduplication.
- 6A Slack message posts the week's new-jargon digest with definitions and source links.
Set it up
What you configure once, before turning it on.
- 1Connect Brave SearchWeb, news, image, video search.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect CodaDocs, packs, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 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.
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.