A recruiter is searching right now

They found 38 people for the role you want.
You weren't one of them.

Four AI specialists — a recruiter, a hiring manager, and an editor — rewrite your LinkedIn About against the exact role you're chasing, until a judge scores it past the bar.

No signup to see your first score. Takes about a minute.

recruiter view
38 profiles matched sorted by relevance
Marcus Lindqvist
Staff Data Engineer · streaming & CDC
match
Priya Raghavan
Senior Data Engineer · real-time pipelines
match
Tomás Herrera
Staff Engineer, Data Platform
match
THAT'S YOU
You
indexed as "data professional"
not shown

The painful truth

You don't get rejected.
You don't show up.

The words on your profile
  • "data professional"
  • "passionate about solving problems"
  • "led various data initiatives"
  • "cross-functional collaboration"
no overlap
The words the search filters for
  • "staff data engineer"
  • "CDC pipeline"
  • "streaming infrastructure"
  • "sub-minute analytics latency"

You weren't rejected. You weren't even compared. Your profile speaks the language you used in 2021 — and the search was for the role you want in 2026.

Every untouched day, that search runs again without you in it. The loss is invisible to the person living it.

A panel, not a prompt

Four specialists argue about your profile
until it's sharp enough to land the role.

One chatbot gives you one opinion. This gives you a disagreement — and the disagreement is what makes the rewrite smarter.

The Recruiter

Searchability

"'Data professional' won't match a search for staff data engineer." Hunts for the keywords your target role is actually filtered by.

The Hiring Manager

Impact & scope

"I see no systems, no scale, no outcome. What did you actually ship?" Demands evidence over adjectives.

The Editor

Clarity & voice

"Your strongest line is sentence four. Lead with it." Cuts the throat-clearing so the good part lands first.

The Judge

The score

Scores every draft against a researched rubric for your target role. The loop reruns until it clears the bar.

How it works

Three steps. Then watch the score climb.

01

Paste your About

Drop in your current LinkedIn About section, exactly as it reads today.

02

Name the real target

Tell it the role you actually want — or paste a job description that excites you.

03

Keep what's better

The panel debates, the judge rescores, and you walk away with a version that's measurably stronger.

See it on a real About

Same person. One rewrite.
Suddenly findable.

Before indexed as "data professional"

I'm a data professional passionate about solving problems. Over my career I've led various data initiatives and worked with cross-functional teams to deliver value across the business.

After matches "staff data engineer"

I build the data platform behind a 40-person SaaS. I shipped a CDC pipeline that cut analytics latency from hours to minutes, and I own the streaming layer three product teams depend on.

87

The hiring manager flagged missing impact and scope. "Led various data initiatives" became "shipped a CDC pipeline that cut analytics latency from hours to minutes." Every change ships with the reason a critic gave for it — so you learn it, you don't just copy it.

Questions

The honest answers.

One prompt gives you one perspective. This gives four specialists arguing in parallel, against a researched rubric for your specific target role, and a judge that rescores each draft until it clears a bar.

Your About is sent to Google's Gemini to do the rewriting and scoring. It's held in memory for the length of your session and is not written to a database by us. Don't paste anything you wouldn't share with the model provider.

Paste a job description that excites you, or name a direction you're leaning toward. The rubric adapts to whatever target you give it.

A minute or two. The critics debate and the loop reruns a few times, so it's a short wait rather than instant.

Don't bring a 2019 profile to a 2026 search

The search runs tomorrow too.
Be in the results this time.

Your competition isn't writing their own LinkedIn anymore.