Crowdsourced employer ghost-rate leaderboard. Know before you apply.
Job seekers submit application outcomes by company. The leaderboard ranks employers by their ghost rate so candidates can stop wasting time on companies that never reply.
Live demo: https://ghost-rate-tracker.fly.dev/
From r/recruitinghell (7,400 upvotes):
"I have applied to 312 jobs in the last 4 months. 78% never sent any response. Not even a rejection. Just silence."
Glassdoor ranks companies on culture, salary, and interview difficulty. Nobody tracks the one metric job seekers actually need before sending that first application: does this company respond at all?
pip install -r requirements.txt
python seed.py # optional: populate sample data
uvicorn app:app --port 8080
# Open http://localhost:8080Set DATABASE_URL to a Postgres connection string for production.
The default is a local SQLite file (ghost_tracker.db).
- Leaderboard ranked by ghost rate (% of applicants who received no response)
- Per-company detail page with response-time histogram (0-3, 4-7, 8-14, 15-30, 30+ days)
- Sector and company-size filters (Tech, Finance, Healthcare, etc.)
- Anonymous submissions with IP hashing -- no account required
- Math captcha plus honeypot field to block automated spam
- Rate limiter: 5 submissions per IP per hour
- Autocomplete company search via
/api/companies?q=
Glassdoor and Levels.fyi are employer review platforms. They track salaries, interview processes, and culture scores -- but neither surfaces ghost rates or response-time distributions as a first-class metric. This tool does exactly that and nothing else.
pytest tests/ -vMIT. See LICENSE.
Built by Manifold. Demand-signal data behind this tool: $1 catalog at https://buy.stripe.com/7sYfZh2h38IBbFvfrf5wI00 -- storefront at https://manifold-storefront.vercel.app