SourceX is a cookieless web analytics platform for understanding live traffic, acquisition sources, page performance, audience behavior, and visitor journeys through privacy-conscious, first-party tracking.
Role
Full-Stack Engineer
Timeline
June 2026 - Present
Product Focus
Website analytics
Website owners needed clear answers about traffic, content, and visitor behavior without navigating the complexity of enterprise analytics platforms.
Installing a script was only the first step. Users also needed visible confirmation that events were arriving and the website was configured correctly.
The platform needed to provide meaningful acquisition, audience, and performance data through cookieless tracking and anonymous visitor identifiers.
Overview, realtime, source, page, visitor, audience, and journey views needed consistent metrics, filters, and website context.
SourceX combines lightweight first-party tracking with guided installation and a focused analytics workspace. Website activity is captured without cookies and organized into clear views for realtime traffic, sources, pages, visitors, audience, and journeys.
A lightweight JavaScript snippet captures pageviews, sessions, referrers, campaigns, devices, geography, and page performance without cookies.
Admins can add a website, copy its generated tracking snippet, test the installation, and confirm the first live event through a focused onboarding flow.
Core metrics such as visitors, pageviews, bounce rate, load time, traffic trends, devices, browsers, and geography are presented in one clear view.
Live activity shows active visitors, current pages, recent pageviews, traffic sources, devices, countries, and cities as events arrive.
Source and page analytics show where visitors arrive from, which content performs well, and where traffic slows or drops.
Journey views connect entry pages, page transitions, and exits to show how visitors move through a website.
Building SourceX required coordinated decisions across event collection, data modeling, analytics, privacy, and product usability.
Challenge: The client script needed to capture useful analytics context, maintain anonymous visitor and session continuity, and send events without affecting the host website.
Solution: I implemented a lightweight ingestion flow for pageviews and performance data with anonymous identifiers, source classification, validation, and privacy-aware collection.
Challenge: A copied script does not guarantee a working integration, and silent setup failures would leave users with an empty dashboard and no clear recovery path.
Solution: I created a guided setup and verification flow that checks for the first event, communicates tracking status clearly, and directs users to the relevant website settings.
Challenge: Each dashboard surface needed consistent date ranges, website scoping, comparison periods, source classification, and metric definitions.
Solution: I organized the analytics layer around shared range helpers, selected-website filtering, reusable classifications, and dedicated query modules for each analytics view.
Challenge: The platform covers many dimensions, but exposing every metric at once would recreate the complexity SourceX was designed to avoid.
Solution: I separated analysis by user intent and used focused KPI cards, trend charts, ranked lists, and practical tables with consistent visual hierarchy.
Challenge: One admin can manage multiple properties, so every analytics view, setting, and verification action must stay scoped to the correct website.
Solution: I added a persistent website selection model, property-level controls, and database access rules that keep analytics and settings isolated by ownership and website.
Challenge: Individual pageviews were useful, but they did not explain how visitors entered, navigated, and left a website.
Solution: I connected session activity into entry, transition, and exit views so website owners can understand common navigation paths.
SourceX gives website owners a shorter path from installation to insight, with clear verification, live visibility, and privacy-aware data collection.
| Metric | Before | After |
|---|---|---|
| Setup | Install with limited feedback | Guided setup and live verification |
| Privacy Model | Cookie-dependent tracking | Cookieless anonymous analytics |
| Analytics Experience | Dense, disconnected dashboards | Focused views by user intent |
| Operations | Fragmented property controls | Centralized multi-site management |
As a Full-Stack Engineer, I built the tracking pipeline, website onboarding and verification flow, analytics query layer, realtime monitoring, source and page analytics, visitor journeys, and multi-site management. The work focused on making complex analytics capabilities feel clear, reliable, and practical for everyday website decisions.