A lot of new makers get confused about how PH works, so let me explain it in the simplest way possible through reality TV.

Think of American Idol / Indian Idol / The Voice.

i was running standalone static ads & my numbers weren't impressive. I switched to tofu, mofu to motion ads & bofu to static. My numbers has become crazy good.
Meta is really rewarding this.
why aren't more people doing this???

I run several coding agents on the same repo at once. Each change looks fine on its own. The trouble shows up at merge time: one agent replaces something another is extending, and Git has nothing to say because the lines don't overlap.

What do others do. One agent per repo? Strict file ownership? A human merging everything? Something else?

We went from status updates stories short-form video.

From friends followers strangers with shared interests.

From flexing performing now what?
Feels like something's about to break, and rebuild.
Here s a take:

The next wave won t be about going viral - it ll be about belonging.

When users cancel, they almost always check the box saying "too expensive" in the exit survey. But when we actually dug into their usage logs most of them hadn't even logged into the app twice.

Pricing wasn't the barrier; they just didn't have the actual problem our tool was built to solve. People use price as an easy excuse when they don't see the value.

When your churn goes up how do you figure out if people are actually leaving because of money or because they aren't getting the right use out of it?

Hey all. I'm really interested in how you evaluate your agents in production.

The standard approach is sample, LLM as judge and possibly a golden dataset. That seems to be the standard setup.

I have over a thousand users. I couldn't describe them to you if you asked.

They're not one kind of person. They come from different industries, different sized companies, different jobs. Some use it daily, some forgot they signed up. There's no pattern I can find.

It hurts spending three solid weeks shipping a feature that less than 5% of your users actually care about. Users are great at pointing out where they feel friction, but the solutions they suggest in feedback forms almost always pull you in the wrong direction.

They ask for something massive, but when it finally launches, it doesn't fit into their real workflow.

What s your go-to method for filtering out the noise and figuring out what people genuinely need versus what they just think they want?

This question has sat in the back of my head for months and I still don't have a clean answer.

For internal work the bar is forgiving. A draft brief with rough edges, a slightly off tone in a Slack summary, a CRM note that's 80% right. You fix it and move on.