Reclaim — get your application in front of the people who hire
For mid-career tech workers between jobs<br>Stop applying into the void.Start reaching the people who hire.<br>Your AI agent matches roles to your real experience, tailors each application honestly, and gets you in front of hiring managers directly — while you sleep.<br>Start your 7-day free trialSee it working — no signup →How it works ↓<br>7-day free trial · no charge today · cancel anytime<br>Already have an account? Sign in
your morning queue · example<br>Last night, while you slept — your agent ran the search.<br>02:14scanned 312 new postings across dozens of companies<br>02:16✓ 4 strong matches to your experience<br>02:19tailored résumé + cover letter — drafted<br>02:22⚑ stretch flagged: they want "Kafka", you ran RabbitMQ<br>02:30identified the likely hiring managers for a Staff Eng role<br>02:31✓ outreach drafted + LinkedIn search ready for you▍
Free · no signup<br>Get an instant, honest read of your résumé.<br>Drop your PDF. In seconds, see your real score, where you're genuinely strong, and where you're stretching — the honest read, not a keyword-stuffing trick.
Get an instant honest read of your résumé<br>Drop a PDF here or click to upload — free, no signup. Real score, real stretches. Not a keyword-stuffing tool.
We monitor open roles at
The black hole<br>You're not getting rejected. You're getting filtered.<br>You spent years getting good at the work. Then you got laid off, and the job search turned out to be a second job — one nobody trained you for. You tailor a résumé, hit apply, and it vanishes. No reply. No rejection. Nothing.<br>Apply to 200 roles and most never reach a person. An algorithm scores you on keyword overlap and drops you before a hiring manager ever sees your name — and the bills don't pause while you wait for silence.
applied · Senior SWEno response<br>applied · Staff Engno response<br>applied · Platform Leadno response<br>applied · Backend SWEno response<br>applied · Eng Managerno response<br>applied · Senior SWEno response
200 sent · 0 humans reached
Filtered before you're read<br>An ATS scores you on keyword overlap and drops experienced candidates over phrasing, not fit. A human never sees your name.
Silence you can't debug<br>No reply, no rejection, no signal. You can't tell if it's your résumé, the algorithm, or the void — so you can't fix it.
Volume tools make it worse<br>Spray-and-pray apps fire the same generic you at roles that were never a match. Faster failure is still failure.
How it works<br>One agent, running the whole search — start to human.<br>01<br>It watches the boards so you don't have to<br>Your agent monitors hundreds of open roles across dozens of company career pages and surfaces the ones that actually match your stack, seniority, and salary floor — no more refreshing job boards at midnight.
board scan<br>Stripescanning<br>Datadog3 new<br>Ramp1 match<br>Plaidscanning
02<br>It tailors each application — honestly<br>For every match, it reframes your real experience to what the posting asks for and drafts a résumé and cover letter to fit. It never invents a title, a skill, or a year you didn't work.
match · tailored<br>Staff Engineer<br>Ramp · Remote (US)
match 86<br>résumé tailoredcover letternothing invented
03<br>It preps you — and flags your stretches<br>You get predicted screening questions and interview prep, plus a clear flag wherever your application leans on adjacent experience — so you walk in ready to speak to it, never caught off guard.
stretch flagged<br>⚑One stretch on this application<br>they want: Kafka<br>you have: RabbitMQ (adjacent)
Here's how to speak to it in the screen →
04Premium · Founding<br>It gets you to the human, not the portal<br>For every match, your agent identifies the likely hiring managers and recruiters, hands you the exact LinkedIn searches to find them, and drafts a short, specific message grounded in your real experience. Then it tracks the whole conversation — your outreach, their replies, your follow-ups — so you never go in cold or lose a thread. You send; we make sure you're never doing it blind.
outreach · drafted<br>likely: Eng Manager · Staff Eng<br>“Hi Dana — I saw the Staff Eng role. I've spent six years on payments infra at scale, and one project maps almost exactly to what you're building…”<br>Premium · FoundingFind on LinkedIn · draft ready
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Shown, not told<br>Here's the actual work it does.<br>What lands in your queue: a morning digest of roles matched to your experience, and your own bullets — before and after the tailor.<br>today's digest · 5 of 38 matched · example<br>Staff Software Engineer<br>Databricks · SF · Hybrid
92<br>Software Engineer, Payments<br>Stripe · NYC · Hybrid
88<br>Sr. Software Engineer, Infra<br>Figma · Remote (US)
84<br>Sr. Backend Engineer<br>Notion · SF
81<br>Staff Engineer, Platform<br>Coinbase · Remote (US)
79<br>+ 33 more, ranked by fit
Every score is fit to your résumé and preferences — seniority, stack, salary floor — not keyword overlap. Weak fits never make the digest.
before · from your résumé<br>“Built a payments service with retries and a...