I built a behavioral analytics tool for app builders — here's why and how

#analytics #saas #showdev #sideprojects

Every solo developer hits the same wall eventually.

You ship something. You get users. Then one by one, they quietly disappear. No error in your logs. No angry email. Just silence.

That silence is the most expensive problem in SaaS and nobody talks about it enough.

The problem I kept running into

I'd build a feature, ship it, and have no idea if anyone actually used it. I'd watch my user count slowly decline and have zero visibility into why. Was it the onboarding? A confusing page? A feature nobody wanted?

The tools that exist to solve this (Mixpanel, Amplitude, FullStory) are powerful but they require you to already know what questions to ask. You have to build funnels, define events, set up dashboards. That's a full-time job.

I didn't want a tool that gives me more data to interpret. I wanted something that just tells me what's wrong.

What I built

AppScope is a behavioral analytics platform with an AI insight layer on top. The idea is simple: drop in one script tag, and within 48 hours the platform tells you what's broken in plain English.

No funnels to configure. No dashboards to build. It just watches and reports.

Here's what it detects automatically:

Churn risk — users who never completed onboarding and have gone silent
Friction points — pages where users leave within 60 seconds of arriving
Onboarding drop-off — exactly which step loses the most users
Dead features — features that less than 5% of users ever touch

Then it passes those detected patterns to an AI layer that narrates them like a product analyst would: "Step 2 is your biggest drop-off point, losing 4 users — double the drop at any other step. Review what's being asked there and either simplify it or defer it until users experience core value first."

The tech stack

Backend: FastAPI + PostgreSQL (hosted on Render)
SDK: Vanilla JavaScript — no dependencies, ~5KB
AI layer: Claude API for insight narration
Frontend: Plain HTML/CSS dashboard (hosted on Netlify)

I deliberately avoided heavy frameworks. The SDK needs to be something any developer can drop into any app without worrying about bundle size or conflicts.

Installation

<script src="https://your-appscope-url.netlify.app/appscope.js"></script>
<script>
  AppScope.init({
    apiKey: 'your-api-key',
    userId: currentUser.id, // optional
  });
</script>

That's it. Drop it before </body> and you're live.

For tracked elements, just add data attributes:

<button data-as-track="upgrade_button" data-as-feature="billing">
  Upgrade
</button>

What I learned building this

The hardest part wasn't the tracking or the AI — it was the low data problem. A new client with 50 users doesn't have enough signal for meaningful churn prediction. So the system has two modes: descriptive insights for low-volume apps (drop-off rates, dead features) and predictive insights as data accumulates.

The second thing I learned: founders don't want more data. They want someone to read the data for them. That insight shaped everything about how AppScope presents information.