MARKET RESEARCH
On-Request Competitor Hiring Briefing
An agent that, when a Slack request names a company, scrapes that company's current openings, analyzes them against history.
How it runs
The automated pipeline, trigger to output.
- TriggerSlack chat request names a target companySlack
- ActionApify scrapes the company's current openingsApify
- ActionPull prior snapshots for trend context from SnowflakeSnowflake
- LogicAgent reasons over role mix, seniority, geo, and deltas
- OutputReturn the structured briefing in the Slack threadSlack
What it does
Instead of a standing scan, this is an on-demand analyst. A team member asks the CEO for a hiring read on any company, and the agent gathers that company's live job postings, reasons over the role mix and recent changes, and produces a narrative briefing covering which functions are growing, what new bets the postings imply, and how it compares to prior quarters.
When to use it
Use it for ad-hoc deal prep, board questions, or competitor reviews where someone needs a fast, defensible read on a specific company's hiring posture without waiting for the next scheduled report.
How it works
- 1A chat request in Slack names the target company and asks for a hiring briefing.
- 2The agent triggers Apify to scrape the company's current public openings.
- 3It pulls any prior snapshots for that company from Snowflake for trend context.
- 4The agent reasons over role mix, seniority, geo, and deltas to infer strategy.
- 5It composes a structured briefing with findings and confidence notes.
- 6The briefing is returned in the Slack thread that requested it.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect ApifyActors, scrapers, datasets.
- 3Connect SnowflakeWarehouses, queries, shares.
- 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
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.