Gunnner – a handy open source Dribbble client for Android

Hacker News

I often browse Dribbble and Play Store didn't have an app to suit my needs, so I created one. It's called Gunnner[1]. The Gunnner app lets you: - Browse Debuts, Everyone and Popular feeds on Dribbble - Browse your likes, your shots and shots you're following - Browse players' profiles as well as their shots - Zoom in images to see every detail - Open GIFs right in the app - Share shots you want other people to see - Swipe back to close the shot Google Play - https://play.google.com/store/apps/details?id=com.gunnner Gunnner is open source - https://github.com/egor-n/gunnner Right now Dribbble API doesn't have write-access, but they are planning to implement it. A soon as they make it public, Gunnner will be updated. I am open to suggestions! [1] A person who is competitive, ambitious and substantially exceeds minimum requirements.

Visit product View on Hacker NewsAug 27, 2014

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

63%63% 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: google, apps, open · Missing: mac, agents, macos

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

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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, google · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

21%21% 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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