Stop paying for analytics. I built a Bring-Your-Own database platform

Hacker News

I'm an indie hacker with a bad habit: I have way too many side projects. Some are thriving and some are just a few lines of code and for a long time, all of them were costing me money. The first thing I do when I start a new side project is add analytics. I want to see how people use it, if they're even using it at all. But I couldn't stomach another monthly subscription. The worst part of analytics platform was that even the free plans had a catch. They'd limit me to a few thousand events a month, or they'd just delete all my data after 30 days. It was useless for tracking long-term growth. And the paid plans weren't much better. They'd cap you at a few sites and even then, your data retention was only a few years. If I had to track a dozen side projects, the costs would balloon to an amount that just didn't make sense for me. I knew there had to be a better way, so I decided to build my own. I wanted a solution where I didn't have to pay per site and where I actually owned my data. That’s how berrylog.app was born. The core idea is simple: you bring your own database. Every single log, every event, and every page view from all of your projects is saved directly to your Supabase database. You are the sole owner of your data. You get an unlimited, historical record of your analytics for all your projects without paying a recurring fee to some company just to access your own information. I honestly just made it for myself because I was tired of paying a fortune for something so essential. But after using it for a while, I realized it was too useful to keep to myself. This wasn't just my problem; it's a shared pain point for every indie hacker. So, I’m sharing it with the community. I've built an analytics platform that truly respects the indie hacker's wallet and sanity. It’s a one-time payment for unlimited websites and unlimited events. No more paying a subscription for a project that might never get off the ground. Berrylog.app is my contribution back to this community. I would love for you to give it a try and let me know if you have any suggestions.

Visit product View on Hacker NewsAug 28, 2025

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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: mac, new, single · Missing: agents, macos, agent

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Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% 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: platform · Missing: plus, intuitive, reviews

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth, recurring, subscription · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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