Charsible – Plausible Analytics in your pocket

Hacker News

Hey everyone, I've been using Plausible Analytics almost 4 years. I think it is one of the best alternatives to Google Analytics, especially if you care your users' privacy. I was thinking about how I can keep an eye on my Plausible Analytics numbers and then came up with an idea to create an iOS app that includes widgets. That's how I created Charsible and released it last week. You simply enter your API into the app and then add the widgets you want into your Home Screen on your iPhone. Your API key is stored in your iCloud Keychain, there I can't access it. If you want, without installing anything, you can also use the widgets on your Mac and iPad. Right now, there are 5 widgets that would help you to keep an eye on your visitors, page views, visits and goal conversions. If you have more than one website, you can also create a widget for each one of them. You can also customise the timeframe as well, like today, last 7 days, last 30 days etc. I should also mention that the app doesn't collect any data about your usage. Also, if you are using self-hosted version of Plausible, you can still use the app. Let me know what you think about the app!

Visit product View on Hacker NewsAug 13, 2024

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Actual performance

4points

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Did not reach leaderboard

Launch Intel predictions

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

93%93% 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 · Strong signals: created, ios · Missing: supports, reddit linkedin, podcasting

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on TrustMRR, 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

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: host, users · Missing: plus, platform, intuitive

26%26% 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

18%18% 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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