The Signal

TL;DR: At 100 users, your retention curve will not pass a statistical test. It can still tell you what you need to know. Read it for shape, not for confidence intervals. The shape decides whether you have a product worth scaling or a leaky bucket dressed up as growth. Most founders skip this read because they were taught to wait for bigger numbers. The numbers are already speaking.

TL;DR: Reducing churn at early stage does not begin with a churn model. It begins with conversations. Before you have cohorts, every cancellation is a complete data point you can interview. Three to five exit conversations will tell you more about why people leave than any retention curve at 100 users. The lever you have at this stage is qualitative, and it works.

TL;DR. A user interview template for post-launch founders is a fixed sequence of behavior-anchored questions designed to surface what people did, not what they predict they will do. The template below covers 14 questions across four phases (context, last-time use, pain mapping, willingness-to-pay), a one-paragraph recruiting message, a three-bucket scoring rubric, and example answers so you know a strong one when you hear it. Run it on five users in your first two weeks post-launch. 

TL;DR: An A/B rollout is not an A/B test. It's the practice of exposing a new feature to a controlled percentage of users to ship safely, not to optimize a conversion rate. Most early-stage founders conflate A/B tests, feature flags, and canary rollouts. At sub-100 user volumes, traditional split testing math doesn't work. Use sequential rollouts, single-variable testing, and diagnose before you test.

TL;DR: A niche market is a clearly defined sub-segment of a larger market with specific, shared needs that mainstream products underserve. At 0 to 50 users, niching down isn't a constraint. It's the only way to get a readable signal. This guide covers 30 concrete examples by industry, 4 segmentation types, 5 brand case studies, and a framework for identifying your niche when you have almost no data.

TL;DR: SaaS is not dead. Public SaaS companies generate over $200B in annual recurring revenue, and enterprise spending continues to grow. What is under pressure: thin-wrapper, single-feature tools with no proprietary data, no workflow lock-in, and no network effects. The most common SaaS failure mode is not the category dying. It's a distribution gap at the 0 to 50 user stage that never gets diagnosed.

You changed the headline, the pricing, and the CTA in the same week. Signups went up. You have no idea which change caused it. Here's how to fix that so every test gives you a clear answer.

Every PMF article you've read was written for companies with thousands of users. You have 50. Here are the specific signals to look for right now and the five conversations that tell you everything.

You launched. Now it's Tuesday morning and you don't have a plan. This week-by-week framework gives you one job per week so you stop guessing and start learning what actually works.

Your product is live but your Stripe dashboard is empty. Here are the specific tactics founders use to find their first 10 paying customers, starting today with zero budget.