Project Showcase

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Project Showcase

http://www.fullstack360.com I put this together as a way for independent developers like myself to showcase their projects, personal or otherwise. The target audience is non-tech people who want to see examples of your work. As a contract developer in NYC, I find that LinkedIn and other convetional means (e.g. resume) don't always do a great job of showcasing your abilities to non-tech people. On another note, I am running a meetup at the Hive55 coworking space on April 2nd from 7:00pm to 9:00pm. I 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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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

66%66% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% 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

32%32% 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.

Incorrect prediction on native model

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