Should I trust this over my recruiter’s advice?

Use the calculator for the math; use your recruiter for context. Recruiters know specific company comp bands; calculators cover the general market.

How accurate are these benchmark numbers?

Benchmarks reflect publicly-available aggregate data; individual outcomes vary by company, location, role specifics. Use as a starting range, refine with role-specific data from levels.fyi / Glassdoor.

How do tax implications affect this comparison?

Significantly. W-2 vs 1099 same gross can differ 25-35% in net after self-employment tax. Compare on after-tax basis, not headline numbers.

How often should I update my rates?

Annually for salaried; quarterly for freelance; after every meaningful win (new client tier, promotion, viral content moment) for creators.

What about equity, benefits, and bonuses?

Total compensation = base + equity + bonus + benefits. RSU equity vests over 4 years; signing bonus is one-time; health and 401k match have real value but aren’t cash.

How do I negotiate higher than the calculated number?

Bring concrete data to the conversation: comparable offers from peer companies, market data from levels.fyi or Salary.com, and a justified anchor 10-20% above your true target.

Career & Growth · Free tool

Resume Keyword Match Scorer

Paste a job description and your resume to score keyword matches, see matched terms, and identify gaps. Free ATS pre-check with no sign-up, in seconds.

Updated June 2026

Job descriptionYour resume

Keywords to scan:(Top-N most frequent meaningful words from the JD.)

Paste a JD and your resume above to score the match.

Heuristic only. ATS systems also weight job titles, certifications, and skill synonyms. Don’t keyword-stuff — read the missing list, then rewrite real bullets that include the terms you actually have experience with.

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What it does

Paste a job description and your resume. See your top-keyword match score, the matched terms, and the gaps — without paying Jobscan or Teal premium. Career math compounds: a $5K higher starting salary becomes $50K+ over a career via standard raises.

Long-term career planning depends on understanding lifetime earnings curves and savings rates more than monthly cash flow. The gap between “rough estimate” and “defensible number” is exactly where good tooling earns its keep — the math is reproducible, but knowing which inputs matter and what the result means is half the work.

Sponsorship and ad rates vary 5-10x between newsletter / podcast / YouTube; don’t apply one industry’s benchmarks to another. A common pitfall: underbidding freelance work to win a project, then resenting the rate. Treat the tool’s output as a starting point and validate against authoritative sources for any consequential decision.

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How to use it

Open the tool and review the interface.
Enter or paste your input.
Configure any relevant options.
Run the tool and review the output.
Iterate or refine based on the result.

When to use this tool

Pre-negotiation when you need a defensible target number.
Setting up creator-revenue projections for taxes and budgeting.
Comparing offers with different mixes of salary, equity, and benefits.
Annual rate-review for freelancers as the market shifts.

When not to use it

For one-off opportunistic deals that don’t fit standard rate frameworks.
When the negotiation depends on relationship dynamics more than numbers.
Cross-border compensation comparison (different currency, tax, COL contexts that simple calculators don’t handle).
Highly specialized roles (executive comp, equity heavy, regulated industries) where personalized advice is essential.

Common use cases

A salaried W-2 workers planning negotiations working through resume keyword match scorer for a real decision.
A early-career workers comparing offers working through resume keyword match scorer for a real decision.
A founders setting their own compensation working through resume keyword match scorer for a real decision.
A content creators forecasting platform-specific earnings working through resume keyword match scorer for a real decision.

Frequently asked questions

Should I trust this over my recruiter’s advice?: Use the calculator for the math; use your recruiter for context. Recruiters know specific company comp bands; calculators cover the general market.
How accurate are these benchmark numbers?: Benchmarks reflect publicly-available aggregate data; individual outcomes vary by company, location, role specifics. Use as a starting range, refine with role-specific data from levels.fyi / Glassdoor.
How do tax implications affect this comparison?: Significantly. W-2 vs 1099 same gross can differ 25-35% in net after self-employment tax. Compare on after-tax basis, not headline numbers.
How often should I update my rates?: Annually for salaried; quarterly for freelance; after every meaningful win (new client tier, promotion, viral content moment) for creators.
What about equity, benefits, and bonuses?: Total compensation = base + equity + bonus + benefits. RSU equity vests over 4 years; signing bonus is one-time; health and 401k match have real value but aren’t cash.
How do I negotiate higher than the calculated number?: Bring concrete data to the conversation: comparable offers from peer companies, market data from levels.fyi or Salary.com, and a justified anchor 10-20% above your true target.

Show the math + sources

Formula

Score = matched_keywords / top_N_keywords × 100. JD is tokenized (lowercase, alphanumeric + hyphen + plus + dot), stopwords + sub-3-character tokens dropped. Tokens ranked by frequency; top N (default 30) become the keyword set. Resume tokenized identically; coverage = |keyword_set ∩ resume_tokens|.

What this assumes

Pure surface-keyword matching. No NER (named entity recognition), no skill-synonym graph, no title normalization. Real ATS systems (Greenhouse, iCIMS, SAP SuccessFactors) layer additional signals — treat this score as directional, not authoritative. Keyword-stuffing inflates the score but fails on a phone screen.

Sources

Methodology last verified: 2026-05-03

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