RD

RDX for Reddit – An Apollo inspired ad-free, open source web reader

Hacker News

RDX for Reddit – An Apollo inspired ad-free, open source web reader

When Reddit killed 3rd party apps, I uploaded a web viewer I have been using for myself to access Reddit (without 99 popups) to Github pages for everyone to use. I posted about it on Lemmy and it shot to the front page. Since then I have made multiple updates to RDX including themes, infinite scrolling, compact mode, bookmarks, import/export subs, faster GIF loading etc. If you do find this useful please add it to home screen for n app-like experience. Please let me know if you have any feedback, including issues or feature requests. Github link: https://github.com/avadhesh18/rdx

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Actual performance

26points
4comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, 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 · Strong signals: including · Missing: supports, reddit linkedin, podcasting
78%78% 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, including · Missing: https docs, excited, just released
73%73% 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: apps · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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