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Built for SWE, Product, Design & Data

Tech job boards are flooded with evergreen ghost reqs and 18-tool wishlists.

Verify real hiring signals, score your L1-L5 stack depth across SWE, PM, Design, and Data roles, and estimate missing TC bands before you apply.

L1-L5 · True Technical Depth Matching90d+ · Flags Evergreen Tech Postings3 ATS · Greenhouse, Lever & Ashby Autofill
Score Tech Roles Free
Candidate Skill Profile Match
Technical Fit + Ghost Engine

L1-L5 Stack Calibration · Unicorn JD Detector · ATS Autofill

SWE · PM · Data

Senior Backend Engineer (Go / Postgres) · Series C

L4 Stack Match · Fresh Greenhouse Req (3d) · $175K-$205K

93% Fit · Live

Staff Product Designer · Remote SaaS

L5 Systems Match · Verified Ashby Req · $165K-$190K

89% Fit · Live

'Full-Stack + K8s + PyTorch + iOS' Evergreen Post

Contradictory unicorn JD + open 112 days

Ghost / Skip
Why Generic Scanners Fail Here

A keyword scanner can't tell scripting from architecture.

Most tools count "Python" as a match whether the role needs a weekend script or a system you'll own for years. The scoring engine reads the job description's context and assigns a depth level to every requirement, then shows the exact point cost of any gap between what you have and what the role asks for.

Audience FAQ

Common Questions

Does it handle niche frameworks and newer tools?

The engine reads whatever the job description actually names, not a fixed list of popular frameworks. If a posting calls out a specific tool and describes how it's used, that's what gets scored against your resume, at whatever depth the JD implies.

How are years of experience scored?

Years of experience feed the Experience Level dimension, one of five the overall score is built from, alongside Skills Match, Seniority Alignment, Industry Fit, and Logistics and Job Quality. It's weighted, not a hard cutoff, so a strong skills match can offset a few years short of the posted range. You can also adjust how much each dimension counts through the scoring weight sliders on Pro.

What does the autofill extension actually fill in?

The Chrome extension autofills repeated fields on Greenhouse, Lever, and Ashby application forms using your saved profile, so you're not retyping the same contact and work history details on every application.

Does the H-1B data help if I don't need sponsorship?

It's there either way. The database covers filing history, approval rates, and sponsored salaries for 33,000+ employers from DOL disclosure records, useful for comp benchmarking even if visa status isn't a factor for you.

1:47 Product Walkthrough

How a Job Gets Scored in 4 Seconds

See how ShouldApply checks your skills, experience, location rules, and target pay against a live job post, then shows every missing point before you apply.

Score My Jobs Free
Technical Job Search Pipeline

How tech workers cut out ghost reqs and stack mismatches.

Calibrate your L1-L5 stack profile once, scan 4 tech sources in parallel, and autofill Greenhouse, Lever, and Ashby.

1. Map your L1-L5 technical stackStep 1

1. Map your L1-L5 technical stack

Set your production languages, systems depth, seniority level, and target TC floor.

2. Filter evergreen ghosts & unicorn JDsStep 2

2. Filter evergreen ghosts & unicorn JDs

We query Wellfound, Remotive, LinkedIn, and Indeed in parallel and strip out 90+ day zombie reqs.

3. Tailor bullets & autofill ATS formsStep 3

3. Tailor bullets & autofill ATS forms

Align your engineering or PM wins to the exact req and autofill Greenhouse, Lever, and Ashby in one click.

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