cvcloud.me - manage multiple CVs in the cloud

Hacker News

I don't know about you but when I apply for a job I like to tailor my cv to highlight the particular requirements of that position. Also depending on the type of role - Developer, Business Analyst, Project Manager etc then the CV might look very different. I also find emailing around Word version of CVs seems a little dated... I mean we are in the age of the Cloud aren't we?? So I've come up with cvcloud.me :) http://cvcloud.me The site allows you to create multiple CV's at an URL like cvcloud.me/joebloggs/44aa6 this way people will only find your CV if you send them the URL, just as if you emailed them the document. You can track when people view your document and where they are located. The viewer can also download a PDF version of the document if they really need to. I am considering adding MS Word support if this is really wanted. You can also import your profile from Linkedin to save on typing. Anyhow feel free to use and let me know what you think and if you have any suggestions, loves/hates etc. thanks David cvcloud.me/dave

Visit product View on Hacker NewsFeb 27, 2012

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4points

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Did not reach leaderboard

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

84%84% 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.

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

45%45% predicted probability of success on TrustMRR, 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% 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

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

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

13%13% 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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