job-intel-dashboard — launch kit

1-liner

Hiring-trends dashboard from apply/'s catalog. Sells to recruiters / VCs / talent platforms as quarterly reports + feeds.

Tweet hook

Most hiring-trend reports lag by 2 quarters. They're built from scraped LinkedIn posts months after they appeared.

apply/ trace data is real-time + structured. Anonymized rollup is sellable to ATS vendors + recruiters + VCs.

$5-25K per report 🧵

Outreach (B2B PMs, not cold-email)

• LinkedIn DM ATS-vendor PMs
• Reach VC platform/talent leads on Twitter
• Direct to talent-platform founders

Outreach template

Subject: anonymized hiring-trends rollup Q2 2026

Hi {first} — for {VC firm / ATS vendor / talent platform}.

I aggregate anonymized job-posting data across major ATSes; quarterly
rollups capture role-family velocity, salary deltas, ATS adoption shifts.

5-page sample free. Full quarterly $15K. Continuous feed $1-5K/mo.

Sample finding: "Workday adoption among $50-200M-rev tech companies grew
14% Q1→Q2; Ashby up 38% in same cohort."

Reply if useful for your team.

SEO content

1. "Hiring-trend benchmarks Q2 2026 — public abstract"
2. "ATS adoption shifts: what we're seeing"
3. "Salary band drift in tech roles 2026"

job-intel-dashboard

Job-market intelligence dashboard. Reads (read-only!) the apply/ pipeline's verified-alive catalog and produces market-trend rollups sellable to recruiters, VCs, and talent teams.

What gets sold

• Quarterly reports $5-25K each: "Hiring trends in CRM Analytics / DataOps / etc., Q2 2026."
• Continuous data feed $1-5K/mo: weekly JSONL of postings by (role family × ATS × salary band × state).
• Custom analyses $5-50K: client-specific competitive-hiring intel.

Like ats-fingerprint-intel (#18), this monetizes the trace data the apply/ pipeline incidentally generates while doing its real job.

Hard rule

Never writes to apply/ data. Only loads verified_alive_catalog.yaml read-only. The apply/ pipeline owns its data; we're an independent analytics consumer.

Run

cd C:\openclaw-products\job-intel-dashboard
python -m venv .venv
.\.venv\Scripts\activate
pip install -e .

jobintel build --out snapshots/2026-04-29.json

Output schema:

{
  "as_of": "2026-04-29",
  "total_active_postings": 1832,
  "by_ats": {"workday": 412, "ashby": 219, "greenhouse": 567, ...},
  "by_role_family": {"data_analytics": 188, ...},
  "by_salary_band": {"175-225k": 412, ...},
  "by_state": {"CA": 187, "NY": 142, ...}
}

Roadmap

• Time-series storage (each daily snapshot rolled into a Postgres history)
• Web dashboard (Plausible-style charts)
• Recruiter-friendly report generator (PDF)
• Cross-company benchmarking (anonymized)