HnReader for android with offline preloading

Hacker News

Hi Everyone, I would like to share my little project with you. The idea behind the project is simple: I spend around 2 hours each day riding on trains, trams and buses. I don't have WiFi there, so I cant browse my favorite site - HN. So I decided to make an app, that makes it easy to preload the articles and comments for offline reading. Before I leave the house, I open the app, press preload, and in about 3 minutes I have a fully functional offline HN clone (along with all the URLs content and comments). You can get the source code, as well as a built APK here: https://github.com/bndr/HNreader As this is my first Android project I would like to hear your thoughts on usability, code style, bugs etc.

Visit product View on Hacker NewsMay 21, 2013

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

72%72% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · 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.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% 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

18%18% 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

Similar products

Offline-First WebApps with Hoodie and PureScript49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Offline-First WebApps with Hoodie and PureScript

Hacker News6

Offline flashcard webapp that syncs via CouchDB48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Offline flashcard webapp that syncs via CouchDB

Hacker News3

BookStacker35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

L'alternativa privata, offline-first a Goodreads per seri

Indie Hackerscommitment-side-project

QuickLingo20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Traveling Offline Phrasebook

Indie Hackers1travel

GBX St. George, the forging of a legend, a medieval Android gamebook32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GBX St. George, the forging of a legend, a medieval Android gamebook

Hacker News3

Bloody Knuckles for Android32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bloody Knuckles for Android

Hacker News1

CategorizeContacts util for Android44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CategorizeContacts util for Android

Hacker News4

Tubalr is now on Android32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tubalr is now on Android

Hacker News4

(Android) Redbox titles sorted by Rotten Tomatoes & IMDB Ratings35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

(Android) Redbox titles sorted by Rotten Tomatoes & IMDB Ratings

Hacker News4

Android Autowire32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Android Autowire

Hacker News2

Browse all products Analyze your launch