Now in Beta

Your codebase already knows what to measure.

Ailyx reads your repository, writes the product-analytics tracking code, and opens the pull request. Once events start flowing it builds the funnels, retention curves and launch reports on its own — no analyst, no instrumentation backlog.

Connect a GitHub repo in under two minutes. No credit card.

ailyx[bot] · add product analytics tracking
9 events src/checkout/CheckoutButton.tsx
const total = cart.subtotal + tax; const onCheckout = async () => { + track('checkout_started', { + cart_value: total, item_count: items.length, + }); await createSession(cart); };
Type-checked and verified against your build before the PR opens
Activation funnel last 30d

Generated from your events

100%
71%
48%
39%
Signed up Repo connected PR merged First report
Biggest drop-off — 29% never connect a repository after signing up.
How it works

Four steps. One of them is reviewing a pull request.

Instrumentation normally means a spec, a ticket, an engineer, and a month. Ailyx collapses that into a diff you can read in five minutes.

  1. 01

    Connect your repository

    Authorise the GitHub app and point Ailyx at a repo. It clones, maps the import graph, and works out which files are actually reachable from your product surfaces.

  2. 02

    Review the proposed events

    Ailyx names the features it found in your code and proposes an event for each meaningful action — with the properties, the call site, and why it matters. Keep what you want, discard the rest.

  3. 03

    Merge one pull request

    The tracking code arrives written, placed at the right line, and checked against your build. Review it like any other PR. Nothing ships to your users until you merge it.

  4. 04

    The reports build themselves

    As events arrive, Ailyx proposes the charts worth watching — adoption, conversion funnels, retention curves, failure rates — and keeps the instrumentation in sync as your code changes.

Capabilities

The work a product analyst would have done.

Defining the events, writing the tracking, keeping it current, and building the reports — all of it, continuously, from the code you already have.

It reads the code, not a spec

Ailyx maps your repository into the features your users actually experience — from routes, components and handlers — so the event taxonomy comes from what you built, not what someone remembered to write down.

A taxonomy you did not have to design

Every proposed event arrives named, described, typed, and justified — with its properties inferred from the values already in scope at the call site.

Shipped as a reviewable pull request

No SDK to wire up by hand and no snippets to paste. The tracking calls are placed at the correct line, scope-checked, and validated against your build before the PR is opened.

Instrumentation that stays honest

When your code moves, Ailyx notices. Merged pull requests reconcile automatically, removed calls are retired, and drifting events are re-anchored instead of quietly rotting.

The analysis is automated too

Launch a feature and the reports are already waiting: adoption, conversion funnels, retention curves, failure and empty-result rates — proposed for you, not built by you.

And you can just ask

Ask in plain English and get the chart back. Connect a PostgreSQL or MySQL database and the same question-answering works across your product data too.

Find out what your product has been doing.

Connect a repository and see the events Ailyx finds in it. Reviewing them costs you nothing — nothing ships until you merge.