Alternatives
Products that do what ClickNest a tiny self-hosted, AI native web analytics in Go does
I've been building a bunch of random side projects, as I'm sure we all are. Most analytics tools were either too heavy or required juggling multiple free tiers across different subdomains. After looking what's out there I couldn't find a lightweight analytics platform that worked on the free tier of fly.io. It's a single Go binary using DuckDB for events and SQLite for metadata, so there are no external dependencies to manage. Drop a script tag on your site and it auto-captures pageviews and clicks. The part I'm most excited about: it uses an LLM to automatically name raw click events into…
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2012 · segmentio.github.com
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2013 · github.com
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It’s just the back end so it logs to MongoDB database so you can add any UI you want to it, feel free to contribute! (Suggestion’?)
2022 · github.com
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I've built a little prototype a long while back, to help me keep track of visitors on my website. I didn't like google analytics for obvious privacy reasons, and I didn't like the existing self-hosted options because of how complicated they are. I always wanted a simple, basic tool, similar to plausible, but even simpler. So a few weeks ago I rebuilt my prototype into a reusable tool. And I made it open source. I built a website, a documentation, and I'd be excited for someone else to try it too. Who knows, maybe if enough people like the idea, I might even make it into a SaaS to save…
2023 · github.com
- 17MB
I've seen plenty of threads on HN about various alternatives to GA, but you can't try them all. So I tried 15 of the most popular, including: Matomo Cloud, Piwik Pro, Clicky, Cloudflare Web Analytics, Statcounter, Chartbeat, Fathom, Plausible Analytics, Visitor Analytics, Google Analytics 4, Mixpanel, Snowplow, Amplitude Analytics, Heap, and PostHog. Basically anything with >= .1% market penetration in the top 1M sites that had as self-service plan. There's no one-size-fits-all replacement for everyone, but there are a lot of good options if you're trying to get off of Google. Happy to…
2022 · quantable.gumroad.com
- 18PW
Turn any SQL code block on your website into a runnable query editor with just a tag. Powered by DuckDB WASM running entirely in the browser – no backend needed. Perfect for documentation sites, tutorials, and blog posts. Features: • Full SQL analytics engine (DuckDB) running client-side • Syntax highlighting with live editing • One-click query execution (or Ctrl+Enter) • Works with any static site – just add the CDN script • Only 23KB minified, loads DuckDB on-demand • Dark/light theme support Try it: https://widget.pondpilot.io GitHub:…
2025 · github.com
- 19CA
Hi HN, I'm Martin from Codehooks / RestDB. Today I’m excited to share Codehooks Analytics, an open-source web analytics tool designed to help you track traffic and user interactions across your websites or applications—without relying on third-party services or cookies. After setup of the tracking script on your web site, it gives you full control over your raw data. What's included? - JS tracking script - for clicks and custom events - Front-end dashboard written using AlpineJS, TailwindCSS, DaisyUI - User authentication - so only you and your colleagues can use the dashboard - Backend…
2024
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Back in October, I built a web analytics tool. It had two distinguishing features: it was cheap, and it had a weekly AI email summary so you wouldn't have to check your dashboards. Turned out that cheap made no difference, but the few users I had really liked the email digest. The world moves fast these days, and suddenly I found myself experimenting with agents, and doing all my work in Claude Code, so I decided to throw out everything and rebuild the tool as lodd.dev, a headless web analytics tool for agents. 42 MCP tools and a full API that lets agents call and act on analytics data as…
May 2026
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I wanted to share something I've been working on recently: Statum, a handy web analytics tool. https://github.com/extractumio/statum The journey began when I found myself frequently needing simple web analytics for my projects. I tried Google Analytics, especially GA4, and realized it was quite complex and, at times, not very accurate, especially when I wanted to view stats for the current day or recent hours. Then I tested a few fancy startup solution but ended up with way too expensive plans the expect me to subscribe (I'm not that rich to pay $99/month for every…
2023 · github.com
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Hi HN, I’ve been working on Spiderseek, a platform to help track and grow website visibility in AI-powered search engines (e.g. Perplexity, ChatGPT, and other agents). Traditional SEO tools are expensive and focused on Google-style search. I wanted something lightweight and AI-first, so I built Spiderseek: AI Research – Explore domains and keywords to uncover new opportunities. AI Analytics – See traffic, crawl activity, and page metrics, plus insights from AI agents. Content Submission – Get content indexed instantly in major AI agents. Rankings – Browse the top 1000 domains sorted by…
Sep 2025 · spiderseek.com
- 23IB
So I've been obsessed with a weird question for the past 6 months, what happens to SEO when everyone starts asking ChatGPT for recommendations instead of Googling? The answer, apparently, is chaos. And maybe opportunity? I built FirstClick because I noticed something strange. My previous startup was getting zero traffic from AI assistants, but our competitor (objectively worse product, sorry not sorry) was getting mentioned by Claude and Perplexity constantly. It drove me crazy. So I reverse engineered why. Turns out there's a whole new game being played and most founders don't even know it…
Dec 2025 · firstclick.so
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Over the last 12 months, in parallel to using Google BigQuery, I have built my own processing pipeline using SQLite and DuckDB. What amazes me is that it works surprisingly well and costs much less than using BigQuery. Roughly speaking, here's what I do: A SQLite database receives IoT sensor data via a very simple PHP function. I currently use the FlightPHP framework for this. The data is written to a table within the SQLite database (WAL mode activated) and states are updated by the machines using triggers. Example of a trigger CREATE TRIGGER message_added AFTER INSERT ON messages BEGIN…
2023
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