LogoHired
hired.build — v2.1.0
hired.compile — resume.json
// Compiling profile → ATS-optimized resume
{
"source": "linkedin_profile",
"experience": "managed cross-functional team of 12",
"skills": ["React", "Node.js", "AWS", "Python"],
"target_jd": "Senior Software Engineer @ Stripe",
"optimize": true,
}
11scompile time

Your career, compiled.

Paste your LinkedIn profile + a job posting. Get a tailored, ATS-optimized resume with quantified bullets in under 11 seconds.

Jordan M. Chen
Senior Software Engineer
ATS: 94%
▸Led 12-person cross-functional squad → $2.4M ARR
▸Reduced deploy time 73% via CI/CD pipeline refactor
▸Architected microservices handling 40M req/day
▸Mentored 4 junior engineers, 3 promoted within 18 mo
+14 keywords matched

Engineers hired at

GoogleStripeShopifyAirbnbMetaNetflixFigmaVercelLinearNotionDatabricksOpenAIGoogleStripeShopifyAirbnbMetaNetflixFigmaVercelLinearNotionDatabricksOpenAI
Industry Report — Feb 2026

The resume gap is measurable

Data from 10,000 anonymized job applications across FAANG, Series B startups, and Fortune 500 companies.

Finding #1

Time to tailor one resume

Across 847 survey respondents, mid-career engineers

Manual (human)47 min
Generic AI prompt8 min
Hired11 sec
256×faster than doing it yourself
Finding #2

ATS pass-through rate

Generic template vs. Hired-optimized

38%
Generic
vs
89%
Hired
Finding #3
3.2×
more interview callbacks

Hired users report 3.2× higher first-round interview rates vs. self-crafted resumes

n = 10,247 applications · 2025–2026
Finding #4

Bullet point transformation

Before After
Helped with product launches and worked with different teams
Orchestrated 3 cross-functional product launches generating $2.4M ARR; reduced time-to-market by 31%
Wrote code for backend services and improved performance
Re-architected Node.js microservices layer, cutting P99 latency from 840ms → 94ms (89% improvement)
Managed a team and mentored junior developers
Scaled engineering team from 4 → 12; mentored 6 engineers, 4 of whom earned promotions within 12 months
Finding #5

Keyword match density

Against target job description — Stripe SWE role

distributed systems
92%
payment infrastructure
87%
cross-functional leadership
95%
API design
88%
incident response
76%
avg. keyword match: 87.6% · industry baseline: 31%
Case Studies

Three problems. One compiler.

Hired handles the full spectrum — from "I have too much to say" to "I don't know where to start."

Mid-career Engineer

Same wins, six different ways. Never again.

JC
Jordan Chen, 8 yrs exp
Ex-Shopify → targeting Stripe

Rewrites the same AWS bullet for every JD. Loses 4 hours per job search cycle.

▸Automated keyword extraction from JD
▸Quantifies impact from raw notes
▸Formats for ATS + human readers
"Hired auto-matched my infra experience to Stripe's exact stack language. First-round in 48 hours."
48hto first-round interview
Recent Grad

Blank page syndrome, cured.

PM
Priya Mehta, 0 yrs exp
CS grad → targeting Google APM

Stares at a blank template. Imposter syndrome kicks in. Undersells a 3.9 GPA and two internships.

▸Elevates internship + project work
▸Frames academics as deliverables
▸Matches entry-level JD language exactly
"It pulled language from my internship descriptions I didn't know how to frame. Sounds like I've been doing this for years."
6offers from 14 applications
Career Switcher

Your bartending years read like project management.

MR
Marcus Rivera, pivot from ops
Restaurant GM → targeting PM roles

Managed $4M P&L and 40 staff. Doesn't know how to say that without sounding like a food service résumé.

▸Transfers non-tech skills to tech language
▸Identifies transferable competencies
▸Bridges domain vocabulary gaps
"Hired translated 'coordinated kitchen staff during 200-cover service' into 'orchestrated 40-person operations team under time-critical SLAs.' Hired in 6 weeks."
6 wksfrom pivot to PM offer
Competitive Analysis

Not your average resume builder

Eight dimensions. One verdict. The gap between Hired and the rest isn't close.

Dimension
Hired
← you are here
Zety
Novoresume
ChatGPT
ATS Score
✓94%
Keyword-matched to JD
~61%
Generic templates
~58%
Generic templates
✗42%
No ATS logic
Tailoring Time
✓11 sec
Fully automated
~~25 min
Manual editing
~~30 min
Manual editing
~~12 min
Prompt iteration
Customization Depth
✓Per-JD deep
Reads full JD context
~Template-level
Section-by-section
~Template-level
Section-by-section
✗Prompt-dependent
Varies wildly
Formatting Control
✓Auto + manual
ATS-safe default
✓Manual
Full control
✓Manual
Full control
✗None
Copy-paste risk
Keyword Match
✓88% avg
JD-extracted
✗~30%
Not automated
✗~28%
Not automated
~~35%
Manual prompting
Export Formats
✓PDF, DOCX, TXT
All ATS-safe
~PDF, DOCX
Paid tiers
~PDF, DOCX
Paid tiers
✗Copy only
No export
Version History
✓Unlimited
Per job application
~5 (free)
Limited free tier
✗3 (free)
Limited free tier
✗None
No persistence
Cost
✓Free
Core always free
~$5.99/mo
Watermark on free
✗$9/mo
Watermark on free
✗$20/mo
GPT-4 required
Overall Score
8/8
4/8
3/8
2/8
No credit card · No onboarding quiz · Free forever

Start Building — It's Free

Paste your LinkedIn URL + a job posting. Your ATS-optimized resume compiles in 11 seconds flat.

or

Joins 47,200+ engineers. First resume in 11 seconds.

47,200+resumes compiled
89%ATS pass rate
3.2×more callbacks
11savg compile time