Score your headline, and see exactly where it gets cut off.
Shapes, not text to paste. A generated headline reads exactly like every other headline from the same generator, which is the problem this tool exists to solve.
Role + specialism + proof
{Role} | {What you specialise in} | {Concrete proof}
Backend Engineer | Payments and high-throughput APIs | Scaled checkout to 40k req/s
The default for anyone with shipped work behind them. The proof is what stops it reading like a title.
Role + who you help + how
{Role} helping {audience} {outcome} through {method}
Data Analyst helping D2C brands cut acquisition cost through cohort analysis
Consulting, freelance and client-facing work, where the buyer matters more than the employer.
Role + stack
{Role} | {Tech 1} · {Tech 2} · {Tech 3} | {Context}
Frontend Developer | React · TypeScript · Next.js | Design systems at scale
Engineering roles where recruiters search by technology. Every tool named is a term you can be found on.
Student or career changer
{Current status} moving into {target role} | {Evidence so far}
Final-year CS student moving into ML engineering | 3 deployed projects, Kaggle top 8%
Before the first role. Name the target, then the evidence — never "aspiring", which invites a filter.
Seniority + domain + scale
{Seniority} {Role}, {Domain} | {Scale you operate at}
Senior DevOps Engineer, Fintech | 200+ microservices across 3 regions
Senior and staff roles, where scale is the thing that differentiates rather than the tools.
Everything here runs in your browser — the headline is never sent anywhere, and there is no upload endpoint on this site. The score models what a reader and a keyword search can be shown to do; it is not a prediction of profile views or recruiter interest, and any tool claiming to predict those is guessing at a ranking nobody publishes.
Your LinkedIn headline is the 220 characters that follow your name everywhere on the platform — search results, comments, invitations — and most of it is cut off in the places it is read most. This tool scores what you wrote and shows the truncated versions live, so you can see which words survive.
220. That is the hard limit the field enforces — text beyond it cannot be saved. The more useful number is where it gets cut visually: roughly the first 60 characters show under your name in search results and beside comments, and less than that on a narrow phone. The tool previews both.
It names a role, narrows it with a specialism, and puts both before the truncation point. "Software Engineer" is searchable but says nothing; "Software Engineer | Payments infrastructure | Scaled checkout to 40k req/s" is searchable and tells a reader why to click. What it should not contain is adjectives about how good you are.
No. The headline outlives the job search and follows you into every comment and invitation for years. LinkedIn has a dedicated availability setting that recruiters filter on directly, which is both more effective and removable — the tool flags "seeking opportunities" phrasing for this reason.
No, and be sceptical of anything that claims to. LinkedIn does not publish its search ranking and it changes. The score models what can actually be shown: that readers see the front of the line first, that unverifiable adjectives are skipped, and that search matches the words you used rather than their synonyms.
No. Everything is scored by JavaScript in the page, with no upload endpoint and no request to LinkedIn — this tool has no connection to LinkedIn and is not affiliated with it.
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