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FeedRebel.com - Your Google Reader Replacement? - Thoughts/Feedback?

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FeedRebel.com - Your Google Reader Replacement? - Thoughts/Feedback?

hey Everyone, I built FeedRebel [ http://www.feedrebel.com ] partly because I needed a feed reader myself but mainly because it ties in nicely with an idea that I've been working on. For those of you that are still on the fence when it comes to choosing a Google Reader alternative, I would love it if you could give FeedRebel a try and let me know your thoughts. I realize that there are quite a few options out there already with some big launches yet to come. I look forward to your comments and thoughts. Thank you

Visit productView on Hacker NewsJun 16, 2013
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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
80%80% 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
71%71% 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
61%61% 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: google · Missing: mobile apps, ios, personal
39%39% 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
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
15%15% 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.

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