u/Characterguru

The awkward silence when revenue comes up is actually telling you something. Most local host communities quietly function as support groups, not data-sharing networks, and that's fine until someone starts making pricing decisions based on vibes and borrowed confidence. I've found the hosts most willing to share are usually at the extremes: either doing really well and want credit for it, or doing poorly and hoping someone else has the answer.
The middle performers, the ones with the most useful and honest data, almost never volunteer it.

Still validating. Waiting on the design. Refining the onboarding flow. Not quite product-market fit ready.

All twelve had Notion docs. Detailed ones. Roadmaps with quarters, priorities, OKRs nested inside OKRs. None of them had talked to a paying user in two weeks.

Here's what I've learned watching this pattern repeat: the doc gets more detailed as the fear gets louder. Every new page is a negotiation with yourself to delay the moment someone real looks at your thing and reacts. Ship the broken version. Get the reaction. The Notion doc cannot tell you what a human with a credit card will.

The setup took maybe two days. Zapier into our CRM, triggered email sequences based on signup behavior, Slack alerts for high-value accounts that went cold. Clean. Simple. Works.

But here's what I didn't expect. All that manual time we were spending? It was hiding real product gaps. When a confused user emailed us, we'd just hop on a call and walk them through it. Problem solved, feedback buried. Automation removed that safety net. Suddenly we had churned users and no human had touched them.

Took us a month to realize activation hadn't improved. It had gotten worse. We'd automated people straight into silence.

So we rebuilt the sequences around the actual friction points. Interviewed 15 churned users. Rewrote every touchpoint. Now it actually works and we're still saving the 10 hours. But if you're about to automate your onboarding without doing that groundwork first, you're not saving time. You're just failing at scale.

The ones that stuck skipped the feature tour entirely. They asked what I was trying to do, then built the whole first session around that one thing. Linear did this. Notion does a version of it. You leave feeling like the tool was made for you specifically. That feeling is worth more than any checklist popup.

Everyone tracks MRR and churn like their life depends on it. Meanwhile the metrics that actually predict retention, expansion revenue rate, product qualified leads, time to value, just... sit there. Ignored. Collecting digital dust. But maybe also measure the right stuff??? Just a thought. 😅

Nobody admits this out loud but half the tools in a typical PLG stack exist because someone read a blog post in 2021 and never questioned it since. My stack right now is Posthog for product analytics, Loops for email, and Stripe for everything billing. That covers 90% of what matters. What I ditched: Segment. Spent two weeks wiring it up and three months realizing I was just routing data I never looked at through a pipe I was paying $400 a month for. Classic infrastructure theater. The tool every founder I talk to wants to ditch first is always the one they set up in week one when they had no idea what they were measuring. For most people that's a fancy analytics tool they configured wrong and never reconfigured because that feels like admitting a mistake. Real PLG is tight feedback loops, fast experiments, and email that actually triggers off behavior. You need maybe three tools for that.

What's in your stack that you keep paying for out of habit?