Product
LinkedIn About Writer
For the job seeker, freelancer, career switcher, or founder staring at a blank LinkedIn About box knowing recruiters read the first 2 to 4 lines and bounce. Paste your current role, years of experience, target audience (recruiters / clients / peers / investors / career-switch), industry keywords, three concrete wins, one personality quirk, and a tone, and get back three linked assets in one pass: a full first-person About (2200 to 2600 chars) with a hook line engineered to survive the mobile see-more fold, a 180 to 220-word short version reusing the same hook pattern, and a 200 to 220-char headline whose first 80 chars carry the keyword payload. Every proof claim traces back to a user-typed win. Every recruiter-flagged AI tell is stripped with named-swap receipts. Fabricated employers, degrees, and metrics are refused.
About this tool
What does linkedin about writer do?
For the job seeker, freelancer, career switcher, or founder staring at a blank LinkedIn About box knowing recruiters read the first 2 to 4 lines and bounce. Paste your current role, years of experience, target audience (recruiters / clients / peers / investors / career-switch), industry keywords, three concrete wins, one personality quirk, and a tone, and get back three linked assets in one pass: a full first-person About (2200 to 2600 chars) with a hook line engineered to survive the mobile see-more fold, a 180 to 220-word short version reusing the same hook pattern, and a 200 to 220-char headline whose first 80 chars carry the keyword payload. Every proof claim traces back to a user-typed win. Every recruiter-flagged AI tell is stripped with named-swap receipts. Fabricated employers, degrees, and metrics are refused.
How does LinkedIn About Writer work?
Paste your current role, years of experience, the audience you want the profile to land with (recruiters, freelance clients, peers, investors, or a career-switch audience), a comma list of the industry keywords recruiters actually search for, three concrete wins one per line, a one-line personality quirk, and a tone. One AI pass returns three linked assets in one shot: a full first-person About of 2200 to 2600 characters with the first 200 characters engineered as a hook that survives the mobile see-more truncation, a 160 to 220 word short version reusing the same hook pattern, and a 200 to 220 character headline whose first 80 characters carry the keyword payload for LinkedIn search. Every proof line in the output traces back to a win you actually typed, and a receipts panel maps each win to the paragraph it landed in.
How is this different from asking ChatGPT for a LinkedIn About?
A freeform ChatGPT prompt happily invents credentials you never earned, drifts into third person, reaches for the exact 2025 to 2026 recruiter-flagged lexicon (delve, showcase, meticulous, testament, passionate, results-driven, thought leader, wealth of experience, unique blend, elevate, streamline, leverage), and quietly inflates a qualitative bullet into a fake percentage. LinkedIn About Writer runs a single structured pass with a hard no-fabrication rule that refuses to add employers, degrees, tools, headcounts, or metrics you did not paste, an AI-tell scrub that rewrites each caught phrase to plainspoken language and records the swap in a receipts panel, and a first-person-only guard that catches resume-voice drift before it hits the output.
Will it invent employers, degrees, or metrics I did not give it?
No. If you did not type ex-Meta, it will not write ex-Meta. If you did not type a percentage or a dollar amount, it will not invent one; the tool preserves every user-typed number verbatim and, where a paragraph would benefit from a metric you did not supply, it writes the qualitative version and emits a quantify_gaps entry with a single-question prompt you can answer next run. Every refused fabrication temptation is receipted in the safety_notes panel so you can see the pass ran.
Why do the first 200 characters of the About matter so much?
On mobile LinkedIn shows only the first 200 characters or so of your About before it truncates with a see more link, and most viewers never tap the link. That opening slice is the entire hook a recruiter or client reads before deciding whether to keep going, so the tool engineers the first 200 characters as a standalone hook that states the value proposition to the audience you chose. The About page renders that exact slice highlighted so you can see the mobile-preview window before you publish.
How does the audience picker change the output?
Recruiters-for-fulltime foregrounds hire-me signals, the skills stack, and a target-role CTA. Clients-for-freelance foregrounds engagement shape, deliverable style, and a booking CTA. Peers-and-network foregrounds collaboration signals and a trade-notes CTA. Investors-for-founder-bio compresses founder-market fit to one clause, foregrounds traction-shaped wins, and only mentions a round if a win mentions one. Career-switch-audience names the pivot in one clause and bridges past to next through the wins that prove the bridge. The same three wins produce meaningfully different Abouts across these five audiences.
What about my existing About, will it throw it away?
No. If you paste your current About into the optional field, the tool treats it as prior art: it preserves the sentences and phrasings you already wrote well verbatim and rewrites only the buzzword hits and structural gaps. Any full-sentence lifts from your current About are receipted in the safety_notes panel as kept-verbatim, so you can see exactly what survived and what got rewritten.
Which tier should I pick, Quick or Deep?
Pick Quick (15 produde tokens on Gemini Flash Lite) when your profile is roughly working and you just need sharper copy today; you still get the full trio (About + short + headline) keyed to your audience, still refuses to invent employers or metrics, still strips the top 15 recruiter-flagged AI tells. Pick Deep (30 produde tokens on Gemini Flash) for the profile you actually want recruiters or clients to click through: the complete 2025 to 2026 recruiter-flagged AI-tell lexicon stripped with named-swap receipts, richer audience anchoring, a full quantify_gaps panel calibrated to your bullets, and the engineered first-200-char mobile hook.
Is it free, and do I need a subscription?
There is no subscription. You spend tokens per run: 15 produde tokens for the Quick tier and 30 for the Deep tier. Tokens are a prepaid platform credit you buy once and spend across any produde tool, so you pay per LinkedIn About rewrite instead of a monthly fee that keeps charging when you are not job-hunting. If a run fails, the full token cost is refunded to your wallet automatically.
What does it cost?
From 15 tokens. Pick a tier on the form above. Produde tokens are a prepaid platform credit; buy them once and spend on any tool.
Do I pay if a run doesn't complete?
No. You only pay for results. If a run can't finish, its full token cost stays in your wallet automatically.
Is my data stored?
Your input and the run output are saved to your account so you can browse history. They are not sold, shared with advertisers, or used to train shared models. See privacy for details.