Discover developers sharing their side projects

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Myself and three friends, for the last year have been building our own side project, the aim of this side project was to show off the creative side of developers. One of my bug bears with Reddit is how quickly things get buried. The bug bear has turned into the basis for what I been building on the side called The Full Stack. A platform to show off developer projects basically. Another bug bear of mine over the years has been trying to find open source or just cool side projects to work on with others, and even find teams to join. So that's another thing we've built, an easy way to find people and projects to work with. Some freaking awesome projects posted on the platform!! The platform front end is all built in ReactJS (Nextjs) and Tailwind, hosted on Vercel. On the backend we're rocking both NodeJS and Java. We're planning on open sourcing the platform once the code and UI flow gets to a decent standard (been working on getting this together), a long way to go. So if anyone here has any advice on bringing a code base to an OSS standard be great to DM and chat. So for me personally I'd love to hear people's feedback and comments!

Visit product View on Hacker NewsFeb 4, 2023

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

89%89% 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 · Missing: supports, reddit linkedin, podcasting

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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