Lite Analytics, simple lightweight web analytics

Hacker News

Sign up for for free account to try it or check live demo at https://liteanalytics.com/example.com/ Main features: - Easy to use dashboard with configuration options - Privacy based, no cookies used - Compare periods options - Real time view - Competitive pricing Service has been launched recently, but the work is still (always) in progress so more features are coming. I've been developing websites and web services for over 20 years, and I've been using Google Analytics (GA) since the Urchin days when everything was easy to access and navigate. However, with each new release, I've noticed that GA has become increasingly difficult to navigate. Instead of being able to check yesterday's stats with just one click, I need to click four times. Instead of being able to switch to another site with just one click, I need three clicks. I used to joke that no one at Google who currently works on GA has ever owned a website, let alone two or more. Google's decision to retire Universal Analytics in favor of GA4 was the tipping point for me and I have decided to build my own tools. Yes, there are some good alternatives out there. I even tried some of them for my less-visited websites. I was not very pleased with the one I choose, but later I found better ones, however the dice was already thrown and I have started to build my own tool. Here you can find more reasons behind why I have decided to build my own tools (spoiler, I'm developer and love to built things) https://liteanalytics.com/blog/why-have-i-built-my-own-analy...

Visit product View on Hacker NewsJul 23, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

92%92% 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: google, new, using · Missing: mac, agents, macos

82%82% 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

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 · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · 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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