iOS Development Nuggets weekly email newsletter

Hacker News

I have been writing iOS apps for a few years and wanted to get into the habit of writing regularly. So I started writing a weekly newsletter about iOS app development. There are several programming-related newsletters that curate links and annotate each with a short comment. They are really useful for keeping tracking of new stuff. There are also several newsletters that deliver quality in-depth content. iOS Development Nuggets doesn't complete with them. What you get is a short tip every week, usually code related that you can read in a few minutes and hopefully, pick up something useful. Occasionally, I throw in a few links to open source code or apps/services that I find useful. Depth-wise, I'd say this is mostly for developers with beginner-medium level knowledge of iOS app development. I have never actively promoted this since I never knew when I would give up, but after writing weekly for 2.5 years, I think it's time :) Also dusted off the old Twitter account I set up a long while back: https://twitter.com/iosdevnuggets. URL goes to email archives and sign up form. Let me know your thoughts and any suggestion to improve. Thanks! http://hboon.com/iosdevnuggets/

Visit product View on Hacker NewsApr 27, 2015

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

80%80% 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: apps, new, email · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps · Missing: mobile apps, personal, entrepreneurs

68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

57%57% 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: occasional · 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 · Strong signals: active, sde · 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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