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19 January 2026

The optimal data stack for a vibe-coded startup

You built something. Maybe with a co-founder who's "technical enough" and a healthy disregard for traditional approach. However you got here, you've got some users, you've got traction, and someone just gave you money.

You've probably been flying on instinct so far. Checking Stripe for revenue. Glancing at your database to see if signups are going up. Maybe a gut feeling that things are working, based on the emails you're getting. That was fine when you had 50 users. But I'm going to guess that you feel that's going to stop working pretty soon.

Here's what we'd set up if we were in your shoes.

Accept that you need to track things properly

This is the hardest part, and it has nothing to do with tools.

If you vibe-coded your product, you probably vibe-coded your analytics too. Maybe you dropped in Google Analytics because that's what you do with websites. Maybe you're looking at database row counts. Maybe you're not tracking anything at all, and the thought of instrumentation feels like a massive distraction from actually building.

But here's the reality. At some point very soon, an investor, an adviser, or your own sanity is going to demand answers. How many people actually use this thing every week? Where do they get stuck? What do activated users have in common?

If you can't answer those questions, you're making decisions in the dark. And the longer you wait to set up proper tracking, the more historical data you lose.

Getting this right doesn't require months of work. Maybe a solid weekend of focused effort and a commitment to doing it properly once.

Pick one product analytics tool and commit

You need a way to see what users do inside your product. Things like "created a project", "invited a teammate", "completed onboarding", and "upgraded to paid".

Our pick for vibe-coders: PostHog or Mixpanel, and maybe Amplitude.

PostHog is open source, has a generous free tier, and does a lot of things well. Product analytics, session recordings, feature flags. For one tool that covers most of the bases without much fuss start here. The documentation is solid and there's a good community if you get stuck.

Mixpanel is more polished and slightly easier to learn. The free tier handles enough events per month for early stages. It's less flexible than PostHog overall but requires less configuration to get value from.

Amplitude is the third major option. It's powerful, but the learning curve is steeper. If you don't have someone on the team who genuinely enjoys poking around analytics tools, you might find it too distracting.

Whichever you choose, the important thing is to actually use it. A perfectly configured analytics tool that nobody looks at is worse than a basic setup that someone checks every morning.

Track the right things

You need to track the moments that matter in your product. Think about the journey from signup to paying customer. What are the key steps? What does someone need to do to get value?

For most PLG start-ups, you want to capture something like this. User signed up. User completed the first key action that shows they understand the product. User came back a second time. User invited someone else or connected an integration. User upgraded or converted.

That's five or six events. You can add more later. But if you nail these core moments with clean data you'll know more about your business than the majority of seed-stage founders.

A word on naming. Pick a simple format and stick to it religiously. We suggest object_action in lowercase with underscores. So "project_created" rather than "Created a New Project" or "newProjectCreated". This sounds pedantic but it can enormous headaches later when you're trying to extend your tracking to cover new features, build reports, or explain your data to someone else.

Watch real users struggle with your product

Numbers tell you what happened. Session recordings tell you why. This is genuinely humbling. You'll watch someone spend three minutes looking for a button that you thought was obvious. You'll see users give up at steps you assumed were frictionless. You'll discover weird bugs that your testing never caught.

If you choose PostHog for analytics then session recordings are built in. Turn them on. If you're using Mixpanel or Amplitude, add Hotjar. The free tier records up to 35 sessions per day, which is plenty when you're still dialling-in your UX.

The trick is not to watch sessions randomly. Filter for users who signed up but never activated. Watch users who hit your upgrade page but didn't convert. Look at sessions from your most engaged users to see what they're doing differently. Spending time watching five well filtered sessions will teach you more than fifty random ones.

You probably don't need a data warehouse

Data warehouses are brilliant when you need to combine data from lots of different sources and run complex analysis across all of it. At seed stage with a vibe-coded product, your data probably lives in three places. Your database, your payment processor, and your analytics tool.

For now, your what we've recommended tool can answer most product questions. Stripe's dashboard handles revenue. If you need to join data across systems, you can export CSVs and use a spreadsheet. It's not elegant, but it works, and it keeps you focused on building rather than maintaining infrastructure.

When you find yourself spending multiple hours every week manually combining data, that's the signal to consider something more sophisticated. Until then, don't add complexity for the sake of it.

What about the platform compatibility?

If you built on a no-code platform tracking can be trickier. These platforms often have built-in analytics, but they tend to be basic.

Most no-code platforms support adding custom JavaScript, which means you can install PostHog, Mixpanel, or similar tools. You'll just need to manually trigger events when users take key actions. This is fiddlier than tracking in a traditional codebase, but it's absolutely doable. The documentation for both PostHog and Mixpanel covers common no-code setups.

The general principle holds. Track moments that matter, name them consistently, and don't let the platform you built on become an excuse for not understanding your users.

When to get help

There's a point where setting this up yourself stops being scrappy and starts being slow. A few signs you might be there.

You've spent more than a week trying to configure analytics and it's still not working properly. Your tracking plan exists in your head but nowhere else. You know what questions you want to answer but you're not sure how to structure the analysis. You got the data into your analytics tool but you're staring at dashboards that don't mean anything to you.

This is exactly the kind of problem that's worth outsourcing. Not forever, just long enough to get the foundations right. A good analytics partner can a start-up set up your tracking, build your initial dashboards, and teach you how to maintain it yourself going forward. That's often a better use of your seed money than struggling through it alone.

The short version

You don't need a sophisticated data stack. You need answers to a handful of questions that will shape data-driven product decisions.

Start with PostHog or Mixpanel. Track the five or six moments that matter most in your user journey. Watch session recordings to understand why users behave the way they do. Skip the warehouse until you've genuinely outgrown simpler approaches.

You vibe-coded your way to investment. That took some doing. Instinct, speed, and a willingness to figure things out. This is no different. Start simple. Learn as you go. Get help when you need it.

Feeling overwhelmed? We help early-stage founders set up analytics that actually make sense. No jargon, no over-engineering, just the foundations you need to make better decisions. Let's talk.

Have questions?

Our team is here to help. Get in touch with us to discuss your specific needs.