Krz Digest – Create personalized newsletter digests

Hacker News

Hey Hackernews! For the past few months, I have been building a small app called Krz Digest ( https://krz.am ) for managing the many newsletters I am subscribed to into personalized digests. At first, the idea was for only me to use it, but after thinking about it, I decided to swallow my anxiety and also release a public beta and see if anyone else has a use for it. Why I built this: — I, like many others, spend a large portion of my day reading and answering emails, so newsletters are a great way to keep to date with interesting articles and news. — I wanted something that does not overflow me with information, as I am subscribed to dozens of newsletters and my mailbox was getting flooded with them and moving them into folders lead me to start not noticing the newsletters. — I just wanted something to only send me one email every day just with a summary of the newsletters and have a nice interface to be able to read through all of them on my phone and laptop. — I also wanted to easily share my curated digests with colleagues as I built up quite an exhaustive digest, that had many newsletters for the domain our company was focused on. Feature highlights: — Unique email per digest, you can use this to directly subscribe to newsletters or forward them from your actual email. I primarily forward all my newsletters, as I already have to many I am subscribed to. — UI focused on reading my latest newsletters without having to click too much. — You can decide the sending schedule for your digest as you see fit. Daily, weekly, monthly are all possible and allow for timezone customization. — An appealing digest email, which does not only work for Gmail clients. — The app cleans up forwarded emails, so they appear as if they were sent directly. — You can make your digest public and anyone can subscribe to it. For the beta, I am limiting this to only 5 subscribers, but I will change this later. I recently added a few more features, which are either not fully finished yet or I am thinking of releasing for a premium subscription fee: — OpenAI-based summaries for each incoming newsletter. — A public discovery feed, which shows all the public digests. — Filters for the incoming emails Alternatives: About a year ago, I found out, that the guys from https://mailbrew.com/ have an essentially identical product, which I used for a few months myself. The product is quite nice, but for my personal usage it did not work very well. I disliked the reading experience, the email formatting was broken for Outlook on Android for a while and forwarded emails did not look nice to me. Tech stack: The app is a React PWA hosted on Vercel with a customized Pocketbase (Sqlite+Litestream) backend hosted on Fly.io. I use Postmark for the emails and Cloudflare for DNS and some routing things. I would love to hear your feedback and suggestions, so give Krz Digest a try and let me know what you think! And keep in my this is a Beta and there are definitely some bugs lying around. The landing page also has some placeholders for pricing, but I am not sure about the monetization of this. If anyone has any suggestions, I would love to hear them. Thanks, Arti

Visit product View on Hacker NewsApr 13, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

90%90% predicted probability of success on Product Hunt, 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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: host, interface · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription, subscribers · 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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