MARKET RESEARCH
Weekly hiring-signal territory digest published to Notion
Aggregates the week's most meaningful hiring moves across a whole territory or segment, ranks them by strategic relevance.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionLoad territory accounts from AirtableAirtable
- ActionScrape postings for each accountApify
- LogicRank top movers by signal strength
- ActionWrite ranked territory digestOpenAI
- OutputPublish dated digest page to NotionNotion
What it does
Rolls up hiring activity across every account in a territory into one ranked digest instead of per-account noise. It surfaces the handful of moves that matter most this week - new leadership, function build-outs, notable tech bets - and publishes them as a clean, linkable Notion page the whole team reads at once.
When to use it
When a team owns many accounts and needs a shared weekly view of where attention should go, rather than scattered alerts. Good for Monday pipeline and territory-review rituals.
How it works
- 1A weekly schedule starts the digest run over the territory list in Airtable.
- 2Apify scrapes current postings for each account in the segment.
- 3A logic step computes per-account deltas and ranks accounts by signal strength, keeping the top movers.
- 4OpenAI writes the digest: ranked highlights, the implied intent behind each, and a suggested action.
- 5The digest is published as a dated page in Notion and a link is posted so the team can open it.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect ApifyActors, scrapers, datasets.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect NotionPages, databases, comments.
- 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
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.
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.
Weekly Hiring-Intel Briefing for GTM
An agent reviews the week's accumulated hiring signals across all target accounts, writes a narrative briefing that infers each account's likely initiatives.
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.