Autonomous analytics.
You ship the feature.
It does the rest.
No manual instrumentation, no analyst. Ailyx reads your repository, writes the event tracking into a pull request you review, and monitors every feature and release on its own — adoption, funnels, retention and failure rates, reported on day one.
Connect a GitHub repo in under two minutes. No credit card.
Generated from your events
Nobody ever said
“I love instrumentation.”
Three simple steps — connect it once. Ailyx automatically generates the tracking events, creates the dashboards and reports, and then monitors them.
- 01
Connect your repository
Authorise the GitHub app and point Ailyx at a repo. Already sending events? It audits what you have, fixes what's broken, and adds what's missing in the naming convention you already use. Nothing instrumented yet? It writes the taxonomy from scratch — the events and the properties.
- 02
Every pull request gets its tracking
Open a pull request and Ailyx reads what changed, works out what's worth measuring, and opens a second PR with the tracking code written in — placed at the right line and checked against your build. Review it like any other diff. Nothing ships to your users until you merge.
- 03
Reports that build, then watch, themselves
As events arrive, Ailyx builds the dashboards and reports worth having — adoption, conversion funnels, retention curves, failure rates. Then it watches them. When a new feature underperforms or a release starts failing, you hear about it from Ailyx.
Six things you stop doing.
Instrumentation, taxonomy, maintenance, dashboards, analysis, alerts — the whole standing workload of product analytics, handled continuously from the code you already have.
No manual instrumentation
You ship the feature; the tracking calls are written for you and placed at the right line in the code you already wrote. No SDK to wire up, no snippets to paste, no tracking ticket sitting in the backlog.
No taxonomy to design
Every event arrives named, described, typed and justified, with its properties inferred from the values already in scope at the call site. Consistent naming without a governance doc nobody reads.
No manual maintenance
When your code moves, Ailyx notices. Merged pull requests reconcile, removed calls are retired, and events whose call sites moved are re-anchored — so the tracking and the code never quietly diverge.
No dashboard building
The reports exist before you think to ask for them — adoption, conversion funnels, retention curves, failure and empty-result rates — assembled from your events instead of from a blank canvas.
No analyst in the loop
Ask in plain English and get the chart back. Connect a PostgreSQL or MySQL database and the same question-answering works across the rest of your product data too.
No alerts to set up
You never configure a threshold or wire up a monitor. Ailyx watches the reports it built and tells you when a new feature underperforms or a release starts failing.
Three things you get instead.
Removing the work is the means. This is the point of it.
Complete coverage
Every feature and every release is measured — not only the ones somebody remembered to instrument before the deadline. Coverage stops depending on how busy the team was that week.
Answers on day one
The launch report is ready when the launch is. You stop waiting two weeks to find out whether the thing you shipped actually worked, and stop shipping the next thing blind.
Data you can trust
The taxonomy came from the code, so it describes what actually shipped — not what a spec said would ship six months ago. When the numbers look wrong, they are wrong about something real.
It never touches your code without you.
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Everything arrives as a pull request
Ailyx has no write access to your running product. It opens a PR like any other contributor, and you read the diff before anything is agreed.
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Checked against your build first
Tracking calls are placed at the correct line, scope-checked, and validated against your build before the pull request is opened — so a proposal cannot break your CI.
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Nothing ships until you merge
No merge, no tracking, no data. However automatic the rest of it is, the decision to instrument your product stays yours.
Try autonomous product analytics today. No credit card required
Nothing to install, nothing to instrument, nothing to configure. Just connect your GitHub repo.