Shortlisted, before you even asked.
Brief your AI employee on the role. He sources the market, filters the noise and hands you options to review.
- Senior Backend Engineer based in London with 11+ years building payments infrastructure at fintech scale-ups.
- Led the migration to event-driven architecture at Monzo, cutting settlement latency by 40%.
- Deep experience in Go, Kubernetes and high-throughput distributed systems in regulated environments.
Brief him once. Shortlist in hours.
No Boolean searches. No LinkedIn premium tabs.
Brief the role
Tell your AI employee the role: title, must-have skills, seniority and location. He stores it in your Company Brain so every future search improves.
He sources across the market
Your employee scans LinkedIn, GitHub, referral networks and passive pools 24/7, cross-matching every profile against your brief and your existing pipeline.
You get options to verify
Irrelevant profiles are filtered out first. The remaining candidates land in your Tasks inbox with match rationale and a draft outreach message, so you can apply your expertise before anyone is contacted.
Built to find the right fit, not just any fit.
Matching signals and ready-to-send outreach, in one motion.
Every shortlist backed by signals
The agent cross-matches profiles against your brief, your Company Brain and live market signals. No guesswork, every candidate has a rationale you can read in seconds.
Draft in the shortlist, send in minutes
Every shortlisted candidate comes with a personalised draft outreach. Edit, approve, and send without leaving your Tasks inbox.
The same employee who finds clients also finds candidates.
You hired one AI employee. He runs business development on Monday and sourcing on Tuesday, with the same Company Brain behind both. No extra subscription, no separate tool, no second login.
Company Brain remembers every candidate
Past shortlists, rejected profiles, placed candidates and warm referrals feed back into the Brain. Every new role benefits from everything that came before it.
Sourcing runs while you sleep
Brief the role before you leave on Friday. By Monday morning your shortlist is ready and the first outreach messages are queued for review.
We had the network; boilr showed us who's actually hiring, so we close deals before competitors spot them.
Questions, answered.
How does the agent find candidates?
The agent searches LinkedIn, GitHub, passive talent pools and referral signals. He cross-matches every profile against the role brief you give him and your Company Brain, so the shortlist reflects your real criteria, not keyword guesses.
Does it replace my sourcing process?
No. It is an extra pair of hands on your desk. You stay in the loop, review the shortlist, edit the outreach, and decide who to approach. The agent handles the hours of searching so you focus on the conversations.
What if a candidate is already in my pipeline?
The agent checks your existing pipeline and flags duplicates before adding anyone to the shortlist. No awkward double-touches.
Can I adjust the matching criteria mid-search?
Yes. Update the brief at any time and the agent re-runs the search with the new criteria. Changes flow into your Company Brain so future roles on the same desk benefit too.
How does candidate sourcing connect to client outreach?
The same employee handles both motions. Once a candidate is shortlisted, your AI employee can draft speculative introductions to the right clients and queue them as ready-to-send Tasks, closing the loop without switching tools.
Your next shortlist is already being sourced.
Brief the role today. Your AI employee starts sourcing immediately, so your shortlist is ready before your competitors have opened LinkedIn.