Today, we are introducing Raah, a privacy-first analytics and frontend observability platform for teams that need a clearer view of what real users experience in production.
Most products treat analytics, performance, errors, and uptime as separate problems. In practice, they are the same question from different angles: are people finding your product, using it, and getting a fast, reliable experience?
Raah answers that from one lightweight beacon. You get traffic analytics, Core Web Vitals, browser errors, API timing, third-party script impact, alerts, and status pages in one dashboard, without cookies or fingerprinting.
The goal is simple: help small teams move from scattered signals to production truth.
Why we built Raah
Most teams stitch together analytics, Web Vitals tooling, error tracking, uptime checks, and backend monitoring. Each tool is useful on its own, but the complete picture is still hard to read.
You may know a page received traffic, but not whether it loaded slowly. You may know an API was healthy from your server logs, but not whether users on a regional network saw high latency. You may know conversion dropped, but not whether a third-party script, JavaScript error, or poor INP contributed to the problem.
Raah is built around a simple belief: product and engineering teams should be able to see user behavior and user experience together.
What Raah gives you
Raah starts with the questions teams ask every week:
- How many people visited, where did they come from, and which pages mattered?
- Which pages are slow for real users, not just in a lab test?
- Which API endpoints are creating the worst p95 or p99 experience?
- Are errors concentrated in a browser, region, ISP, or release?
- Did a marketing campaign bring traffic that actually engaged?
- Can we explain an incident with real user evidence?
Instead of forcing those answers across several dashboards, Raah brings the main signals into one workflow.
Analytics without the usual privacy baggage
Raah tracks visits, pageviews, referrers, UTM campaigns, devices, geography, sessions, and engagement without setting cookies or fingerprinting users.
That makes it a practical alternative for teams that want useful product analytics without turning a simple website into a consent and tracking project.
The goal is not to recreate every enterprise marketing analytics feature. The goal is to give developers, founders, and product teams a clear read on what is happening and what deserves attention.
Frontend observability built in
Traffic alone does not tell you whether the experience was good. Raah also captures frontend reliability and performance signals from real browsers:
- Core Web Vitals including LCP, CLS, INP, FCP, and TTFB
- Browser-level network timing including DNS, TCP, TLS, TTFB, and download phases
- API endpoint latency, error rate, and percentile breakdowns
- JavaScript errors and unhandled promise rejections
- Third-party script performance
- Session-level context for debugging what happened
Real user network monitoring
Synthetic checks are useful, but they run from known locations under controlled conditions. They do not show what every user saw from their own browser, device, ISP, and geography.
Raah captures browser-level network telemetry from live traffic, so you can compare API and page performance by endpoint, country, ISP, status code, and timing phase.
That matters when a service looks healthy from your infrastructure but feels slow to customers in a specific region or network.
Built for small teams that need production truth
Raah is designed for teams that need practical visibility without a heavyweight rollout:
- SaaS teams debugging inconsistent endpoint latency
- Founders watching traffic, campaigns, performance, and reliability from one place
- Agencies managing client websites without cookie-heavy analytics setups
- Product teams connecting user behavior to frontend experience
- Engineering teams that want alerts and evidence before users complain
You can start with a single script tag and let real traffic populate the dashboard.
Getting started
- Create a project in the Raah dashboard.
- Install the lightweight script.
- Let live traffic populate metrics.
- Use breakdowns by endpoint, ISP, geography, and session context to investigate outliers.
Raah was built to help teams move from “we think it is fine” to “we know what users are seeing.”
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