Beautiful printable CV based on your LinkedIn profile

Hacker News

LinCV WebExtension will generate a clean CV based on your LinkedIn profile data with two clicks. You can also create custom XSL templates and save your CV data as XML. In addition, you can easily enter your references and key contact information. For Chrome, Opera etc. https://chrome.google.com/webstore/detail/lincv-printable-linkedin/cpajkgfpokllohpcpdgdchknfahfnhck For Firefox, Brave etc: https://addons.mozilla.org/firefox/addon/lincv/ LinCV fully respects your privacy. Everything is kept within your browser and we don't collect any data. This is a fresh release so comments and improvement ideas are welcome!

Visit product View on Hacker NewsFeb 18, 2020

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

74%74% 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.

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.

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

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

26%26% predicted probability of success on Product Hunt, 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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

22%22% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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