Show HN: Automated smooth Nth order derivatives of noisy data

This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (

6mo | Hacker news
Show HN: LinkedIn Hype Crew

Hi HN - we’ve been working on a fun project that I wanted to share

It takes your PDF LinkedIn profile or resume and generates a short podcast either hyping you up, or roasting you.

It takes your professional experience and crafts a narrative of your life and why you’re so successful. Or if you want a roast… It pokes holes and makes fun of you.

I’d love to hear any feedback!

https://podial.ai/hype


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6mo | Hacker news

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