Before the inspection I had the tail lights replaced twice, headlights replaced once and so many other things they'd find when I dropped it off for service. The boot hatch hydraulics was missing gaskets. TPMS was defective on delivery. Panel gaps of course. I had so much water in the first tail lights I could house a betta.

When Twitler started fighting the unions we sold that incident number on wheels and got a Volvo.

My biggest problem so far is that the RSS data is often very lacking (body, images, etc) and that there are still lots of content I'd like to filter out by sentiment. Like if I follow a technology outlet I don't want to know that there's an absolute steal on Sonos Arc on Bestbuy because I'm generally not into consuming and I live in northern Europe.

I have high hopes for ML to populate the RSS data and filter content like this. I want to experiment with this.

I've done zero marketing and have a few thousand users from organic growth alone since August. It's a one-time purchase type of deal and I'm overwhelmed by positive feedback.

> OH GOD PLEASE NOOOO

I wonder if OP should have tested this on their audience earlier of if commenter is not part of their audience.