MARKET RESEARCH
Competitor Hiring-Burst Detector
Scrapes a watchlist of competitors' job boards daily, detects sudden spikes in open roles by department, and posts a Slack alert naming which competitor is staffing up where.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires the competitor scan
- ActionApify scrapes each competitor's careers pageApify
- ActionDiff current roles against prior snapshot in SnowflakeSnowflake
- LogicKeep only departments exceeding the burst threshold
- ActionOpenAI drafts the inferred strategy signalOpenAI
- OutputSlack alert names company, department, and deltaSlack
What it does
Tracks the public careers pages of a defined competitor watchlist and flags when any one of them posts an abnormal burst of new openings in a single function (e.g. ten new sales reqs in a week). A hiring burst is a leading indicator of a go-to-market push, a new product line, or a funding event, so catching it early gives your team weeks of lead time.
When to use it
Run this when you compete with a known set of named companies and want a standing early-warning system for their expansion moves, rather than checking LinkedIn by hand.
How it works
- 1A daily schedule fires the scan.
- 2Apify runs a careers-page scraper across every competitor in the watchlist and returns the current open-role set.
- 3The current snapshot is compared against the prior run stored in Snowflake to compute net-new roles per company per department.
- 4A logic step keeps only companies whose net-new count in any department exceeds the burst threshold.
- 5For survivors, OpenAI drafts a one-line interpretation of what the burst likely signals.
- 6A Slack message names each company, the department, the delta, and the inferred strategy shift.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect SnowflakeWarehouses, queries, shares.
- 3Connect OpenAIModels, embeddings, files.
- 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.
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Run this workflow in your colony.
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