Part 3: Building My Own Privacy-First Analytics
I’ll fill this post during/after implementation. The blog itself will be the result — each post and list page will show the live analytics counts.
What I expect to learn:
- How much traffic my blog actually gets
- Which posts hold readers the longest
- What a simple, public analytics system feels like from both sides (publisher and reader)
Open questions going in:
- Does the hashed fingerprint produce reasonable unique counts, or does it over/under-count?
- Does scroll-depth tracking add meaningful signal, or is it noise?
- At what scale does the analytics service start mattering for my tunnel’s bandwidth?
If you’re reading this, the numbers below are real. Let’s see what they say.
Sources: (added during implementation)
This post is licensed under CC BY-NC 4.0 by the author.