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LinkPersona – Free LinkedIn audit tool that runs 100% in the browser

Hacker News

LinkPersona – Free LinkedIn audit tool that runs 100% in the browser

"Hi HN, I built this because I was frustrated that every "LinkedIn Optimizer" requires OAuth access or a PDF upload. I didn't want to send my personal data to a third-party server just to check my headline structure. LinkPersona is a static site (HTML/Tailwind/JS). All the analysis logic (regex for checking 'Role + Result + Metric' patterns, readability scores, etc.) happens client-side. No databases, no tracking pixels, no signup. It includes: Headline analyzer Hook previewer (simulating the mobile vs desktop truncation point) Post formatter Code is not minified if you want to poke around 'view source'. Feedback welcome!"

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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