| Profile | Match | Link | Company | Title | Country | |
|---|---|---|---|---|---|---|
Marcus Chen | 97% Open-to-Work Signal Flipped on LinkedIn "open to work" three days ago. Recent Application Applied to two similar backend roles this week. | Backend Engineer | ||||
Priya Nair | 94% Resume Refresh Updated her resume and LinkedIn summary 6 days ago. Recruiter Response Replied to a recruiter InMail about a PM opening this week. | Senior Product Manager | ||||
Tomas Novak | 91% Layoff Signal Current employer announced layoffs affecting his team last week. Job-Board Activity Actively browsing and saving DevOps listings daily. | DevOps Engineer | ||||
Isabelle Laurent | 89% Open-to-Work Signal Turned on "open to work" visible to recruiters last week. Recent Application Applied to three growth-marketing roles in the past 10 days. | Marketing Manager | ||||
Diego Fernandez | 86% Recruiter Response Replied positively to recruiter outreach about a sales engineering role. Resume Refresh Refreshed his resume and portfolio two weeks ago. | Sales Engineer |

Backend engineer flagged open to work this week. Strong Go and distributed-systems background, actively applying to senior roles.
Candidate sourcing automation is the use of AI to continuously find candidates who are actively job searching right now and match them to a specific open requisition — not a database of everyone who might theoretically fit the title. Instead of a recruiter manually re-checking LinkedIn for an "open to work" badge or waiting for inbound applications, it reads the signals that show someone wants to move today: a refreshed resume, a recent application elsewhere, active job-board browsing, or a layoff at their current employer. That turns a slow, manual req into a live shortlist of people who are both qualified and ready to talk.
Manual sourcing means a recruiter scanning LinkedIn and job boards by hand, req by req, and a basic ATS sourcing module only searches whoever is already sitting in your own database. Lessie AI closes that gap: describe the open role in plain English and an AI agent reads active job-search signals — open-to-work flags, recent applications, resume refreshes, job-board activity, and layoffs — assembled live across 100+ sources, then ranks the candidates showing them against your req, finds verified contacts, and drafts outreach that references the exact signal and role. You go from an open requisition to a warm conversation without stitching together a job board, a database search, and a mail tool.
The six signal sources Lessie AI reads to find candidates who are actively looking for a new role right now
The LinkedIn "open to work" flag and similar public status changes are the clearest sign a candidate wants to move now, not someday.
Candidates who have applied to similar roles elsewhere in the last few weeks are actively in-market for exactly the req you have open.
A freshly updated resume or profile summary usually means someone is preparing to job search, even before they flip on "open to work."
Browsing, saving, and applying on job boards shows a candidate is actively shopping the market this week, not passively scrolling.
A layoff, hiring freeze, or funding crunch at someone's current employer is a strong, fast-moving signal that they are about to start looking.
Candidates who reply to recruiter messages or engage with recruiting content show they are open to a conversation right now, not just curious.
Four steps from an open req to a shortlist of actively job-searching candidates with verified contacts
Describe the req you're hiring for — title, must-have skills, seniority, location — in plain English, no rigid Boolean strings.
An AI agent watches open-to-work flags, recent applications, resume refreshes, job-board activity, and layoff signals across 100+ sources for candidates who fit.
Every candidate comes with the signal behind them and a match score, so recruiters work the shortlist that is both qualified and actively looking, not a cold database dump.
Get verified emails for each candidate plus AI-drafted outreach that references the open role and the exact signal that put them on your list.
AI-powered tools to find actively job-searching candidates and reach them before another recruiter does
Manual sourcing means checking LinkedIn by hand, and a basic ATS sourcing module only searches your own database. Lessie AI reads active job-search signals live across 100+ sources, so you see who is actually looking today.
Being active isn't enough — a candidate also has to fit the req. Lessie AI ranks candidates on both the strength of their active job-search signal and how well they match the specific open role, so your shortlist is who to call, not just who is looking.
A ranked shortlist is only useful with a way to reach people. Lessie AI finds verified contact details for each actively job-searching candidate at the moment of search, no separate data purchase required.
The reason a candidate is actively looking is your best opening line. Lessie AI drafts outreach that references both the open role and the specific signal, so a cold message reads like a timely, relevant offer.
How signal-driven active-candidate sourcing compares to scanning job boards by hand and searching your ATS's own database
| Comparison | Manual Sourcing | Basic ATS Sourcing | Lessie AI |
|---|---|---|---|
| What You Get | Recruiters scanning job boards and LinkedIn by hand, one req at a time | A search box over whoever is already sitting in your own database | Live active-job-seeker signals matched to your specific open role ✓ |
| Signal Coverage & Freshness | Whatever a recruiter happens to notice that day | Static resumes that are rarely re-checked once submitted | Open-to-work flags, applications, resume refreshes, and layoffs tracked live across 100+ sources ✓ |
| Candidate Matching Quality | Keyword and Boolean search, one req at a time | Filters over stored resumes, no signal on current intent | AI ranks active job seekers by fit and urgency for the exact req ✓ |
| Contact Accuracy | Guessed emails and LinkedIn DMs that go unanswered | Whatever contact info was submitted, often stale | 95%+ verified emails, confirmed at the moment of search ✓ |
| Outreach Automation | One-by-one manual messages, no personalization at scale | Generic auto-replies with no reference to the role | AI-personalized outreach that names the exact signal and role ✓ |
| Cost | Hours of recruiter time spent per req | Bundled into the ATS license, but sourcing stays shallow | $39.9/mo, self-serve, unlimited candidate searches ✓ |
Manual sourcing means a recruiter scanning job boards and LinkedIn by hand, req by req. A basic ATS sourcing module only searches candidates already sitting in your own database, and rarely checks whether they're still looking. Lessie AI reads active job-search signals live across 100+ sources, matches them to the specific open role you're hiring for, and hands you verified contacts plus signal-aware outreach — so you fill the req with someone who wants to move now, not whoever happens to already be on file.
From technical recruiting to executive search — automated candidate sourcing for every open req
Fill hard-to-hire engineering reqs faster by working candidates who are already looking, ranked by fit, instead of cold-messaging a passive database.
Keep multiple live reqs moving at once — automated candidate sourcing surfaces actively job-searching candidates for each role so recruiters aren't starting from zero every time.
Narrow searches move faster when you can see who is actually preparing to make a move, not just who technically fits the title on paper.
Small teams without a sourcing function can still move fast — turn layoff and instability signals into a warm shortlist for the one seat you need to fill.
AI-powered candidate sourcing automation that matches actively job-searching candidates to your open roles and automates outreach.
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Describe the developer audience and tech stack — Lessie AI surfaces DevRel leaders, advocates, and community-builders with verified emails.
Describe the diligence question — Lessie AI surfaces domain experts who actually know the market, with verified emails for paid expert calls.
Describe your event and audience — Lessie AI surfaces brands likely to sponsor, with the right decision-maker email on every row.
Describe the leadership gap — Lessie AI surfaces fractional CMOs, CTOs, CFOs, and COOs with track records that match, plus verified emails.
Describe the integration you want to build — Lessie AI surfaces SaaS companies with API surface, customer overlap, and the right BD lead with a verified email.
Find LPs — family offices, endowments, fund-of-funds, and HNW allocators — who actually back funds at your stage and thesis.
Find marketing agencies by specialty, client portfolio, and geo — with verified founder and BD emails.
Find brands that sponsor newsletters in your niche — with verified marketing-decision-maker emails.
Find newsletter writers and operators by niche, audience size, and platform — with verified direct emails.
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Find resellers, distributors, and channel partners who already sell to your ICP — in plain English, with verified emails.
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