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AI cold email generator for recruiter outreach

Generate personalized recruiter cold emails in 30 seconds. InTouch matches your resume against the job description — and writes an email that shows why you are a good fit, not a generic template. First 3 generations free to try, no credit card required.

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See how InTouch generates a personalized recruiter email from one job description and one LinkedIn URL.

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How it works

Resume + job description → personalized recruiter email in 30 seconds

01
Paste the job description
Drop in the full JD. InTouch reads the role, the company, and the actual requirements as the target the email needs to argue against.
02
Add your resume
Upload your resume once. InTouch pulls the projects, roles, and metrics that match each specific JD — this is what makes the email personalized, not a template.
03
Get a draft that shows why you are a good fit
The output matches your concrete experience to the JD requirements. Recruiter name and email come from their LinkedIn profile or the dashboard search. Edit, save, or send via Gmail.

Sample output

What a personalized recruiter email actually looks like

Each draft below is generated by matching the candidate's resume against the actual job description. The result shows specifically why the candidate is a good fit — not a generic template. Names, companies, and resumes are illustrative.

Example 1 · Mid-size company recruiter — backend engineer

Mid-size to large companies

Inputs

Job description

Senior Backend Engineer · Greenlight (Stripe-like payments)

  • 5+ yrs backend, Go or Python
  • Owned a payments or ledger system in production
  • Multi-tenant architecture experience

Resume

You: 4 yrs backend at Plaid

  • Led Go rewrite of Plaid payments service — ~$40M/mo throughput
  • Designed multi-tenant ledger schema (Postgres + event log)
  • Open-source contributor: gorilla/mux maintainer

Send to

Sarah Chen · Talent Lead at Greenlight

Company recruiter · used for name + email lookup

Generated draft — resume matched to JD

Subject

Question on the Greenlight backend role, Sarah

Body

Hi Sarah — saw the Senior Backend Engineer opening on the Greenlight payments team. The multi-tenant ledger design and Go-first stack in the JD lines up directly with what I have been doing for the last 2 years at Plaid — I led the rewrite of our payments service in Go, which now handles ~$40M/month, including the multi-tenant ledger work that the role calls out. Reaching out directly because the listing emphasized end-to-end ownership of the data layer, which is exactly the work I want to be doing next. Happy to send the ledger-schema GitHub repo if useful. Would you be open to a 15-min intro this week?

Example 2 · Alumni from your school — new grad at AI lab

Students, recent grads, international

Inputs

Job description

Software Engineer (New Grad) · Anthropic

  • ML infra and distributed systems work
  • Python or Rust
  • Open to new graduates with strong infra projects

Resume

You: Recent CMU CS grad

  • BS CS @ Carnegie Mellon, May 2026
  • Intern: Stripe (payments infra) + Datadog (distributed tracing)
  • Capstone: GPU-accelerated inference proxy in Rust, 40K LOC

Send to

Ravi Patel · Senior SWE at Anthropic (CMU CS '22)

Alumni from your school · used for name + email lookup

Generated draft — resume matched to JD

Subject

CMU CS new grad — Anthropic infra role

Body

Hi Ravi — saw you went through CMU CS too (I just graduated this May). I am applying to the new-grad infra role at Anthropic and wanted to get your read on whether the fit lines up. My capstone was a GPU-accelerated inference proxy in Rust (40K LOC, hit 1k RPS in our benchmarks), and my Stripe internship was on payments infra — so the ML infra + distributed systems framing of the JD looks like a strong match on paper. Would you be open to a 15-min chat about what the team is actually looking for? Happy to send my resume + capstone repo first so the conversation is concrete.

Example 3 · Hiring manager at a startup — founding ML platform engineer

Best for stretch roles

Inputs

Job description

Founding ML Platform Engineer · Helix AI (20-person Series A)

  • Build training infra from scratch — no platform exists yet
  • PyTorch, AWS or GCP, distributed training
  • 4+ yrs experience preferred but flexible

Resume

You: 4 yrs ML infra at Waymo

  • Built perception team training pipeline from scratch — 5M images/day
  • 2 upstream patches merged into PyTorch DataLoader
  • Owned distributed training across GCP TPU pods

Send to

David Park · Engineering Lead at Helix AI

Hiring manager · used for name + email lookup

Generated draft — resume matched to JD

Subject

Founding ML Platform role at Helix AI

Body

Hi David — reaching out about the Founding ML Platform Engineer role at Helix. The "build training infra from scratch" framing is what made me click — at Waymo I built the perception team's training pipeline from the ground up (5M images/day, ended up being the base layer most of perception ran on by the time I left). The two upstream patches I shipped to PyTorch DataLoader came directly out of that work, so the PyTorch + GCP stack in the JD is core to what I do day to day. The "no platform yet, you build it" problem is the one I want to solve next. Happy to walk through architecture decisions on a quick call this week if useful.

What's different

Why this is not just another AI email writer

Matches your resume against the actual JD
Most AI email writers take a blank prompt and produce something generic. InTouch reads the job description, reads your resume, and writes an email that argues why your specific experience matches their specific requirements — point by point.
Shows fit, not flattery
A generic email says "I would be a great fit." A fit-driven email says "your JD calls out multi-tenant ledger work — I built that at Plaid handling $40M/month." Recruiters can scan the second one in 5 seconds and know whether to reply.
Built for recruiter outreach, not sales
Tone, structure, and length are tuned for cold emails to recruiters — different from B2B sales tools repurposed for job seekers. No "synergy," no "circling back," no fluff.
3 free generations to try it
Sign up and the first 3 personalized recruiter emails are on us — no credit card required. Paid plans start at $7/month for 50 generations and unlimited saved jobs and contacts. Try first, decide later.

Start free

Generate your first recruiter email in 30 seconds

First 3 personalized recruiter emails are free to try — no credit card required. Paid plans start at $7/month for 50 generations.

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Common questions

AI cold email generator FAQ

What actually makes the email personalized?
Two inputs: your resume and the job description. InTouch matches the requirements in the JD against the specific projects, roles, and metrics on your resume — and writes an email that argues the fit point by point. Recruiter LinkedIn is only used to grab the name and find the email; it does not drive personalization.
How is this different from a generic AI email writer like ChatGPT?
A generic AI writer takes a blank prompt and produces a generic email. InTouch ingests the actual job description and your resume, then generates a message tied to a specific opportunity — showing why your experience matches their requirements. Each draft is grounded in real candidate fit, not a reusable template.
Is the AI cold email generator free?
Free to try — the first 3 personalized recruiter email generations are free with no credit card required. After that, paid plans start at $7/month for 50 generations (Basic), with Pro and Max offering more. The Chrome extension and dashboard are available on every plan, including the free trial.
How long does it take to generate an email?
Around 30 seconds end to end. The generation itself runs in 10–15 seconds. The rest is pasting the job description and confirming the recruiter's name.
Can I edit the draft before sending?
Yes — the output is an editable starting point, not a one-click send. Most users tweak the opening line and the closing question before sending via Gmail from inside the dashboard.
Does it send the email automatically?
No. InTouch generates the draft, finds the recruiter's email, and prepares the message — but you stay in control of when it sends. Follow-up cadence can be scheduled, but the first send is always your decision.
What happens to my resume and job descriptions?
Your data is used to generate the email and is stored on your InTouch account for reuse on the same job or future outreach. You can delete saved jobs, contacts, and resumes at any time from the dashboard.

Keep exploring

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