Geddit, Browse Reddit Without the Reddit's API

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Hey everyone! I've built an open-source Android app that allows you to browse Reddit without using their API. It is built on the library I've published here earlier. Basically, the app uses JSON feeds of Reddit to replicate various endpoints. What this means is that you can browse Reddit without an account and get posts, comments, images, videos and nsfw contents without having to deal with ads etc. In it's current state it has just the basic functionality and I am planning to add more features soon. I'd be happy to hear what you think and get an insight from your feedbacks. APK Releases: https://github.com/kaangiray26/geddit-app/releases

Visit product View on Hacker NewsJul 11, 2023

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

70%70% 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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% 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: video · Missing: mobile apps, ios, personal

40%40% 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

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.

Correct prediction on native model

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