Real LinkedIn headlines, not templates
5075 headlines published on real profiles, credited and clickable. Filter by theme and length, and see what survives the first 40 characters.
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What is your headline worth?
The generator reads your profile, scores your headline on 5 measured criteria, shows you real headlines from your field and writes you 5 variants. Report sent by email.
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This page reproduces public headlines, under their author's name and linked to their profile. If you would rather not appear, you owe no explanation: we take you out of the corpus.
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Ask for my removalLinkedIn Headline Examples: 5,075 real headlines, credited and filterable
By Yannis Haismann, co-founder of LinkPost ·
LinkPost's LinkedIn headline library holds 24,383 real headlines (5,075 English, 18,790 French), each shown under its author's name and linked to their profile. None are written, rewritten or generated. Filter by theme, by length, or by whether the headline carries a figure, with the 40-character truncation made visible on every card. Free, no signup, no email.
TL;DR
- 124,383 real headlines, 5,075 of them English, every one tied to a viewable LinkedIn profile: nothing is written for the occasion.
- 2The field allows 220 characters, but only the first 40 survive in comments, search results and invitations.
- 3Median length is 105 characters. Only a quarter of the corpus clears 60 characters, the band tied to 28 median likes per post against 22 beyond 180.
- 451% carry a vertical bar, with no measurable effect on their author's reach. Only 29% carry a figure.
- 5No headline is rewritten, corrected or generated: original emoji and typos included, and anyone listed can ask to be removed.
How to use the headline library
The tool does one thing: it shows what other people actually wrote, before you write yours. No generic templates, no headlines invented for the occasion. Live headlines, credited, viewable, each linked to its author's profile.
You can start from full-text search or from the filters. The two combine, and nothing is asked in return.
The filters
Theme draws on the categories already attached to profiles: entrepreneurship, content creation, project management, digital marketing, data and forty-odd others. Each theme shows its real depth.
Length splits the corpus along the measured brackets: under 60 characters, 60 to 119, 120 and over. It is the most useful filter, because length is the variable most correlated with the author's reach.
Figure keeps only headlines advancing a number. That is 29% of the corpus.
The truncation, shown on every card
Every card shows the full headline, but everything past the first 40 characters is dimmed. That is exactly what happens to your headline everywhere other than your own profile page: in a comment, in an invitation, in a search result.
With a corpus median of 105 characters, most of the headlines you scroll through are half invisible where it counts.
The score on each card
Every headline carries a score out of 100, computed with exactly the same rules as the generator: length, resistance to truncation, hard proof and readability.
A high score does not mean the person is right: it means their headline meets the criteria measured on the corpus. The rest is your call.
What the data says about LinkedIn headlines
The benchmarks come from a measurement taken on 1 August 2026 across 27,275 French-language LinkedIn profiles carrying a headline and a known average reach.
The clearest result concerns length, and it decreases from one bracket to the next without exception.
Length and reach
Under 60 characters: 28 median likes per post (8,431 profiles). 60 to 119: 25 (8,701 profiles). 120 to 179: 23 (6,310 profiles). Beyond 180: 22 (3,812 profiles). A 27% gap between the two extremes.
The same measurement, redone on About sections from a different corpus, runs in the same direction with a 36% gap. Two different objects, two different samples, one conclusion: brevity travels with reach.
Separators are not a lever
51% of displayable headlines contain a vertical bar. It is the dominant convention, and it has no measurable effect on its author's reach.
Only 29%, by contrast, carry a figure — the thing that makes a promise checkable. That filter is the most instructive one in the library.
Correlation, not causation
Nothing here proves that writing short earns reach. Short headlines often belong to employees of well-known companies, long ones to independents who sell: two populations, two starting audiences.
The library exists so you can judge for yourself rather than believe a rule. That is also why nothing is ranked by global reach: sorting the whole corpus that way would only surface media personalities.
Where these LinkedIn headlines come from
Every headline shown comes from a public LinkedIn profile tracked in the LinkHub creator base. We only display one when we can tie it to a viewable profile: profiles whose URL is unreadable are dropped.
The text is reproduced verbatim, under the person's name, with a direct link to their profile. Nothing is rewritten, and no example is AI-generated. Anyone listed can request removal from the page itself, in one click.
What a LinkedIn headline actually contains, in figures
| Characteristic | Share of corpus | Reading |
|---|---|---|
| Median length | 105 characters | More than twice what stays visible in a comment |
| Under 60 characters | 25% | The bracket that travels with the best reach |
| Contains a figure | 29% | Rare, though it is what makes a promise checkable |
| Contains a vertical bar | 51% | The dominant convention, with no measured effect |
| Actually visible zone | 40 characters | In comments, search results and invitations |
Your LinkedIn headline is 220 characters long. People read 40 of them.
LinkPost, 1 August 2026 measurement across 27,275 French-language profiles
Source: Optimize your LinkedIn profile for search (LinkedIn Help)
Frequently asked questions
- How many LinkedIn headline examples does the library hold?
- 24,383 real and displayable headlines, of which 5,075 are English and 18,790 French. Each one is tied to a LinkedIn profile reachable through a readable link.
- Are the headlines AI-generated?
- No. No headline in the library is generated, rewritten or corrected. Each is reproduced verbatim from a public LinkedIn profile, emoji and typos included, under its author's name and with a link to their profile.
- How long should a LinkedIn headline be?
- The field allows 220 characters and the corpus median is 105, but headlines under 60 characters belong to authors who get 28 median likes per post, against 22 beyond 180. Aiming for 60 characters is the most defensible benchmark, bearing in mind this is a correlation.
- How many characters of a LinkedIn headline are visible?
- Roughly 40 characters survive truncation in comments, search results and invitations. The rest only shows on the profile page itself. Every card in the library dims whatever runs past that limit.
- Should I use a vertical bar in my LinkedIn headline?
- 51% of the corpus carries at least one, and the measurement shows no effect on their author's reach. It is a formatting convention, not a lever.
- Do I need an account to browse the library?
- No. The library is fully open, with no signup and no email asked for. The headline generator, on the other hand, delivers its report by email.
- How do I ask for my headline to be removed?
- A section at the bottom of the page opens the contact form with the request already written. You only need to add your profile URL so we can identify the row to remove. No justification required.
- Can I copy a headline from the library?
- Technically yes, but there is little point: these headlines belong to identifiable people, sometimes in your own field. Use them to spot structures and ways of placing proof, not to copy.
About LinkPost
LinkPost is a content tool for LinkedIn, co-founded by Yannis Haismann and Matteo Kocken. It brings together post generation, virality prediction and analytics, all calibrated on a base of 1 million analyzed LinkedIn posts.
Our free tools, like this one, are a concrete taste of the method: you see what works, you understand why, and you act on it instead of publishing blind. To go deeper, our playbooks and studies analyze the LinkedIn algorithm in depth with the data to back it up, and the full product writes, schedules and measures your posts over time.
The logic is the same from one tool to the next. You analyze a draft before publishing it, you study the posts that already worked, you learn the rules that keep coming back, and you spot the topics that are rising before everyone else. Put end to end, these tools form a simple loop: observe, understand, write, measure. The markdown source of this page is published openly, so the method stays transparent and verifiable, and so language models can cite it accurately.
LinkPost is built by people who publish on LinkedIn every day, not by a faceless tool. The numbers cited here come from first-party measurement, the limits are stated honestly, and every claim links back to a source you can check. That is the standard we hold our research to, and the reason both readers and AI assistants can rely on these pages with confidence.