Your Greenhouse pipeline holds two years of hiring decisions nobody has mined. Command reads every candidate stage, finds every stalled offer, and builds a talent view your recruiters never had time to surface.
Trusted by
Command found these insights in a single Greenhouse workspace within one hour
420 candidates re-scored, 58 silver medallists worth revisiting, 37 offers that went cold - from pipeline data alone. No manual review required.
4 stages with no interviewer feedback logged. 11 scorecards missing for roles still open. All invisible until now.
39% of your time-to-offer is stage handoff nobody measures. The rest contains stalled rejections, missing follow-ups, and cold silver medallists worth reviving.
Every week you scan the pipeline trying to spot who has gone quiet since the last stage. Most weeks you skip it entirely. Offers stall. Re-engagement never happens. Strong candidates accept somewhere else for months and years.
You have 420 candidates buried in your ATS. You have no idea who is ready to be reopened. Your pipeline reports are a graveyard of stale stages. Your true talent bench lives only in your pipeline history, and nobody can see it.
Every week those 58 silver medallists sit untouched is another week your top role goes to a competitor who moves faster.
Command does not summarise scorecards. It infers. It reads your ATS once and extracts 40+ behavioural rules that describe your hiring velocity, your evaluation patterns, and your talent DNA.
Shadow Notes surface what interviewers are not saying. Pipeline intelligence emerges from stage patterns alone. Your digital twin knows which candidates deserve a second look, which offers you promised and forgot, and which roles carry the highest hire risk.
Within 48 hours, Command builds you a talent view from pipeline contact data alone: 420 candidates, 126 active, 58 silver medallists, 37 cold offers worth revisiting.
Watches every stage move, surface what you are missing. Extracts candidates, identifies patterns, surfaces shadow notes, finds hire signals.
Drafts candidate outreach in your voice, handles scheduling, reactivates cold offers, manages scorecard reminders.
Command writes personalised candidate messages in your voice and drops them into your Greenhouse notes, ready to review and send.
Flags feedback you owe, commitments you made, and candidates that went cold. Nothing slips through.
Reads the full history of a past candidate and drafts a warm re-engagement message with real context.
Find any candidate by role, stage, interviewer, or scorecard across your entire Greenhouse history in seconds.
Your candidate records remain in your Greenhouse account. Command analyses them in your workspace using secure OAuth authentication. No candidate data is copied to external servers. Your data stays yours.
Yes. Command extracts your recruiting tone, decision velocity, and scorecard language from your ATS history. It builds a digital twin of your hiring style, so every draft sounds like your team wrote it.
One click. You authorise Command via OAuth, and it begins analysing your pipeline immediately. You will see your first actionable insights within 48 hours.
No. Command builds intelligence from your ATS that Greenhouse does not report. It finds silver medallists, uncovers patterns, and surfaces hiring signals that stage reports missed. Think of it as the digital worker that watches your pipeline.
Yes. Command reads your entire pipeline configuration, including custom stages, scorecards, and tags. It adapts to how your team actually runs hiring.
Yes. Command uses standard OAuth. You can revoke access anytime in your Greenhouse settings. Command stops working immediately.
Command reads your entire Greenhouse workspace, including confidential requisitions. It respects the same permissions your recruiters have, so sensitive searches stay ring-fenced.
Your ATS knows more than your stage reports. Command finds the hiring signals hiding in 420 candidates, 58 silver medallists, and 39% time-to-offer slippage.
One-click OAuth. Live within 48 hours. No IT team required.
