LinkedIn About Generator
Three About sections from your true material: different structures, fold-surviving hooks, and placeholders where only your numbers belong.
- 100% free
- No signup
- Nothing stored
Draft 2 of 3 ("proof-first") might open: "40% fewer delivery delays across six warehouses. That number took three years and one stubborn belief: logistics problems are usually communication problems wearing a uniform." Then: what they do, the proof, how they work, and the user's own call to action.
How it works
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Feed it the truth
Role, real achievements, audience and your ask, plus a tone.
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Compare 3 structures
Different hooks, different builds, same facts. The differences teach you what you want.
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Humanize and ship
Copy the best, fill [placeholders] with real numbers, swap in your natural phrases.
What this tool does and does not do
It does
- Drafts 3 structurally different About sections in your chosen tone
- Opens every draft with a fold-surviving hook, never "I am a..."
- Uses only your facts; missing numbers become [bracketed placeholders]
- Sends only this form, once; stores nothing beyond the rate counter
It does not
- Read your existing profile or anything about you beyond the form
- Invent achievements, employers or numbers to fill gaps
- Write in filler ("passionate", "results-driven" are banned in its instructions)
- Publish anything; you copy, edit and own the text
What should a LinkedIn About section contain?
Five moves, in roughly this order: a hook with your single strongest fact, what you actually do in plain words, proof (two or three true numbers or named outcomes), how you work (the texture that differentiates equals), and one clear ask. The generator builds all three drafts on this spine and varies the order of attack, because the spine is settled craft while the emphasis is a personal choice.
How do I write an About section when I hate writing about myself?
Outsource the first draft to your facts. The form above never asks "describe yourself"; it asks what you did, for whom, with what result, questions with factual answers. The generator then commits the sin on your behalf: it arranges your facts into first-person prose you would not have started. Editing someone else's draft of you is psychologically free compared to facing the blank box, which is the honest reason this tool exists.
The three structural bets, explained
- Proof-first opens with your best number and spends the section earning it context. Strongest when your results are objectively impressive; weakest when your story matters more than your stats.
- Story-first opens inside a moment (a failure, a turning point) and lets the facts arrive as consequences. Strongest for founders and career-changers; needs the most personal editing.
- Reader-first opens with the audience's problem ("Your roadmap slips every quarter...") and positions you as the answer. Strongest for consultants and freelancers selling a service.
The edit pass that makes it yours
Three edits, ten minutes. First, fill every [bracketed placeholder] with the real figure or delete its clause; a shipped bracket is worse than no claim. Second, replace one sentence per paragraph with how you would actually say it out loud; those swaps carry your voice into the whole. Third, check the ending asks for exactly the action you want this quarter, message, book, follow, not a polite nothing. Then run the finished section through the About analyzer for a cold-eyed final read.
Frequently asked questions
How does the LinkedIn About generator work?
You supply the truth: what you do, real achievements, who should feel spoken to, and what readers should do next. Pick a tone and it drafts three structurally different About sections, each opening with a hook built to survive the 300-character fold. Facts come only from your inputs; missing numbers appear as [bracketed placeholders] for you to fill.
Which tone should I pick?
Professional for corporate and regulated fields, Warm for people-facing work, Direct for operators who distrust adjectives, Story-led for founders and creatives whose path IS the pitch. When torn, generate twice with different tones; comparing drafts teaches your own preference faster than theory. The About analyzer can then judge the finalist.
How long should a LinkedIn About section be?
The generator writes 800 to 1600 characters, inside the working range where the section reads as substantial without sprawling (the hard cap is 2,600). More important than total length is the first 300 characters, which is all most people see before "see more". Every draft front-loads accordingly, and the character counter tracks your edits.
Will the drafts sound like me?
They will sound like your facts arranged well, which is most of the distance. The last stretch is yours: swap in phrases you actually say, cut anything you would not defend in conversation, and read it aloud once. Ten minutes of humanizing beats shipping raw output, and raw output was never the promise.
Why three drafts instead of one perfect one?
Because "perfect" hides a choice. The three drafts take different structural bets (proof-first, story-first, reader-first), and seeing your material in three shapes tells you which bet fits your goal. One draft would make that choice for you silently; three make it visible and yours.
What happens to what I type here?
Sent once to the AI model, drafts come back, nothing is stored beyond a 10-minute rate-limit counter (10 generations per 10 minutes per visitor). No account, no draft history on our side; copy what you want to keep. Details in plain language on the privacy page.
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