Personal CV Website with Blog and Marketplace – Your vCard on Steroid

Hacker News

Hello Community! My name is Vivek, I am a software developer who recently started working for an innovative company and I am sharing our new product with you today. FreelancerCV is a personal web app to expose your skills and make revenue based on your skills. Most marketplace can be complicated to use and doesn't fulfill most of your requirements in one place. What can I do with it? FreelancerCV is all in one marketplace where you create your own * Personal CV website under custom domain or subdomain for FREE (http://usercv.freelancercv.om) * FREE blogging platform like tumblr or medium * Free Marketplace & Store to sell your digital items (if any) or sell your services (if any) (e.g, http://codecanyon.freelancercv.com) What's Next? = We are planning to add the "Status" and "Follow" option to bring all the like-minded people together. = We are also planning to add "Company Profile" option where you can list your company page and add a number of employees = We are also planning to add "Support Desk" for each of your companies to collaborate with your clients. Head to https://freelancercv.com and create your free CV website today!

Visit product View on Hacker NewsOct 31, 2019

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3points

Did not reach leaderboard

Launch Intel predictions

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

78%78% 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: user, new, code · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: collaborate · 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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