ScottFish – A simple GA4 analytics dashboard built out of frustration

Hacker News

When Google forced the switch from UA to GA4, I found myself struggling to understand my magazine's performance metrics (I occasionally edit a magazine along with my full-time job). So I built a dashboard that pulls GA4 data and presents it in a clean, intuitive interface focused on metrics that actually matter. It made the job of pulling reports and usage stats very simple for my website and greatly improved my daily productivity. At this stage, it was running on localhost on my machine and during this project, I ended up learning React (coming from a pure C/C++ world). I showed it to a couple of friends who run small businesses and manage their own websites, and after considering their feedback, I made a few changes to the UX , added authentication, and launched it publicly a week ago. Based on their feedback, I am currently working on integrations with Google My Business, Merchant Center, and other Google products to create an all-in-one dashboard for small business owners. All in due time .. could be months away with my full-time job :) I'd love your feedback on the project! I hope it can make your life easy too. https://www.scottfish.com PS: why "scottfish"? Well, my kid plays chess and loves "stockfish" and I am a Piscean, so ... I thought, why not "scottfish" :)

Visit product View on Hacker NewsMar 23, 2025

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

82%82% 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

82%82% predicted probability of success on Indie Hackers, 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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

43%43% 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

28%28% 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.

Correct prediction on native model

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