I m Rajiv, and I ve been working on a project called tseda (Time Series Explorer).
If you ve ever stared at a messy time series dataset and wondered where to even start, I built this for you! It s an app designed to take the headache out of exploring and decomposing regularly sampled data (hourly or greater).
The "Why" behind it: I wanted a tool that didn't just give me a raw plot, but actually helped me understand the structure of the data. tseda uses Singular Spectral Analysis (SSA) to break things down into Trend, Seasonality, and Noise, but it does the heavy lifting for you automating window selection and suggesting component groupings so you aren't just guessing.
So here's what happened. We were running campaigns, watching our click metrics climb, feeling pretty good about performance. Then we started digging into where those clicks actually came from.
Half of them were bots.
Not simple ones either. Headless browsers mimicking human behavior perfectly. Selenium scripts automating clicks at scale. Click farms using mobile devices. Advanced stuff rotating IPs, spoofing geolocation, faking mouse movements, generating realistic referrer patterns. Fingerprinting evasion. Timing tricks. Some were so good they looked completely human.
We realized most link tools just count clicks. They don't ask if those clicks are real.
