Rune Reader – A dedicated email inbox for your newsletters

Hacker News

Hi HN, I'm Arnav, the creator of Rune. I've been a long-time reader of newsletters. Historically, newsletters have been about sharing a collection of links or short form content. However, with platforms like Substack and Revue becoming the preferred publishing medium for many, newsletter content has become more long-form in nature. As a reader, Gmail, Outlook and other general purpose email clients are less than ideal interfaces for reading this such long form content, let alone remember what I read by annotating, adding notes, etc. After grappling with this problem for a while, I decided to build Rune – a dedicated email client for reading & annotating newsletters. Upon signing up for Rune, you'll be assigned a unique email address that you can subscribe to newsletters with or setup autoforwarding to from your email provider of choice. TL;DR: Rune is an alternative email app for reading and annotating newsletter content. Excited for you all to try it :)

Visit product View on Hacker NewsJun 19, 2022

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

88%88% 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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

45%45% 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

39%39% 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

17%17% 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.

Incorrect prediction on native model

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