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Developed a Python-based scientific analysis pipeline for exploring radio astronomy data and identifying potentially interesting signal structures. The project processes high-resolution spectrogram data, measures signals relative to local noise, and evaluates candidates using characteristics such as persistence, intermittency, bandwidth, and frequency drift.
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AI-powered financial analytics platform built with FastAPI, Pandas, DuckDB, and Gemini API for data analysis, REST APIs, natural-language-to-SQL queries, and automated business insights.
We've been building something for a while, and it's finally time to share it.
Meet Zupa, an AI tool that helps you write LinkedIn and social media posts that actually sound like you.
Most people know they should post more. The hard part is sitting down and turning a rough idea into something worth reading. Zupa takes that idea and shapes it into a post built around what makes people stop scrolling and engage.
It's made for founders, marketers, agencies, and anyone building a personal brand who doesn't have hours to spend writing.
Here's a quick look at what we've built 👇
We're opening early access now, and it's free to try. If you want a look, check out https://www.zupapost.ai/
Honest feedback is welcome too. That's how we'll make it better.
Really like the idea of using psychology to help people rewrite their posts! The UI feels thoughtful and fits the concept really well. It’s a focused tool I could see being useful in everyday writing, especially for making posts more engaging. How long did it take you to go from the initial idea to the finished website?
An experimental AI-agent application for researching business opportunities using web search, webpage extraction, evidence collection and structured analysis.
The evidence collection step is where I would look first. When two pages disagree, do you keep both source links so someone can see why the analysis chose one?