Ashton Blake

Dashboards are loud. The signals that matter are usually quiet, and I'd like to collect yours.

I've written here before about how our most active users at Murror turned out not to be our happiest ones. That changed how I read numbers. Sessions, streaks and retention curves all measure that people came back. None of them tell you whether coming back was good for them.

Since then I've been more interested in small, quiet signals that are hard to put on a chart. Things like a user who stops using your product because they no longer need it. Someone who writes in to correct a detail, which means they read closely. A person who recommends it with a caveat, because they're being honest about who it is and isn't for.

My own rule of thumb is that a signal is worth trusting when it would still look good if you were wrong about your product. A big engagement number can rise because people love something, or because it nags them. A quiet signal like "they told a friend, unprompted" is harder to fake, even by accident.

Hey everyone :)

We've been experimenting with AVP, the tool I launched recently... kind of a GitHub for coding agents.

I post my thoughts here almost every day. This week my kp dropped.

The only breakdown i ve found is from someone s all-time page: threads paid way more than comments and some threads with zero replies still paid. So posting daily should push mine up, not down.

The default view on the kp page is last week, so check yours on all time before you trust the number.

If you know how it s counted, tell me.
Does kp drop when a thread gets rejected, or flagged, or is the number just moving for reasons we can t see. i d rather understand it than guess.