FullStack360 – Dribbble for Software Developers

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http://www.fullstack360.com I am working on this site. The idea behind the FullStack360 is to be a sort of Dribbble for software developers where coders and programmers can post projects that they are working on. Other products like LinkedIn don't offer an adequate place for devs to post their projects and get attention from recruiters and other non-tech people. Also, I am having a meetup with my friend at the Hive55 coworking space on April 2nd from 7:00pm to 9:00pm. We will showcase two or three projects selected from this site. If you are in the NYC area and would like to present your project to my meetup group (http://www.meetup.com/Full-Stack-iOS-Development-Group), submit your project to this site and I will contact you directly. I plan on doing these meetups 2x a month or so. Thanks. edit: the search bar doesn't work yet.

Visit product View on Hacker NewsMar 24, 2014

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

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

53%53% 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: ios, month · Missing: mobile apps, personal, entrepreneurs

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% 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

12%12% 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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