BlogRoll - Yet another replacement for Google Reader

Hacker News

I've been working on this in my spare time for the past few months, and in light of the news about Google Reader shutting down, I thought I'd announce this today: BlogRoll is meant to be an improved version of Google Reader with a tiled interface (which may not be everybody's cup of tea), but it works well for photo-focused sites like food and fashion blogs, and it handles other news sites and blogs quite well, similar to a newspaper-style layout As for people switching over from Google Reader, it can also automatically import your existing feeds (click the "Import from Google Reader" button on the first screen after signing up) Any feedback or suggestions? I appreciate it and will continue to work on improving this!

Visit product View on Hacker NewsMar 14, 2013

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

81%81% 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: exist, existing, io · Missing: https docs, excited, just released

69%69% 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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

30%30% 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

22%22% 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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