Hacker News Android Reader

Hacker News

Hi, I have been a lurker for a long time, and had always wanted to see a good reader for HN on the Android platform. Here is an early screenshot: http://ravneetg.com/HN/HN.png I see there are some which are based on scraping the site. I was interested in using the official API by Firebase, and have refreshing capabilities as supported by the APIs. So I started this weekend on a Android 5.0 App (pre 5.0 support also expected) based on the Firebase Android APIs for connecting with Hacker News data. I plan to add: 1. Comments reading 2. Auto update as the API pushes the changes Later: 1. SignIn 2. Post Comments 3. Up/down votes. Not sure if there is any traction for something like this, with a tasteful UX, so posting here to test the waters :) Thanks! Ravneet

Visit product View on Hacker NewsDec 14, 2014

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Actual performance

2points

3comments

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: new, using, apis · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

42%42% 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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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