AI-Powered Tool for Elevating LinkedIn Profiles

Hacker News

Hello HN community, I'm excited to introduce ratemylinked.com, an AI-powered tool designed to change LinkedIn profile reviews. In collaboration with 20 career coaches, we found that over 90% of LinkedIn profiles lack the impact to impress. The common issue? Most focus on responsibilities rather than showcasing achievements. Crafting a compelling LinkedIn Profile is a daunting task. RateMyLinked.ai simplifies this process by providing detailed, personalized feedback to improve your resume's quality. Key Features: - AI-driven analysis for comprehensive feedback. - Actionable suggestions with clear reasoning. - Custom recommendations to highlight achievements and skills. - Privacy Focus: We prioritize your privacy. No registration is required, and we do not store email addresses or LinkedIn data beyond the review process. Visit our website to see a sample review. Several career coaches are already using RateMyLinked to assist their clients. This tool is designed to help job seekers craft standout resumes, boosting their visibility and hiring prospects. We hope RateMyLinked will be a valuable asset in your career journey. Your thoughts and feedback are eagerly awaited! Gob

Visit product View on Hacker NewsNov 15, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, using · Missing: mac, agents, macos

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AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

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TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, io · Missing: https docs, just released, exist

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nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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