Launch publicly and drive a wave of sign-ups and sales
This week coordinates a public release across content, email, communities, product support, and measurement. The focus is a reliable launch that turns attention into customer learning and revenue.
Choose a small set of targets such as qualified visits, account creations, activated users, conversations, and payments. Separate outcome metrics from activity metrics. Publishing ten posts is activity; earning three customers is an outcome.
Plan preparation, launch day, and follow up. Prepare the product, tracking, support answers, emails, posts, community messages, demo, and owner for each task. Adapt messages to each community rather than dropping the same promotion everywhere.
Watch availability, errors, activation, questions, and payment problems. Keep a simple incident log. Fix issues that block value before improving cosmetic details. Communicate clearly when something is broken.
Ask customers for feedback after they have experienced value. Obtain permission before publishing a name, role, company, image, or quote. Keep the wording true to what the customer said and never create synthetic testimonials.
Approximately 400,000 views
Why it fits: Explains when to launch, how to describe the product in one sentence and why founders can launch repeatedly through different channels.
Prepare a one-sentence pitch, launch post, product demonstration and three-channel launch checklist.
The video supports the lesson above — it doesn't replace it.
Create a launch run sheet using the tasks and channels below. Organise it into preparation, launch day, and follow up. For each task include timing, owner, required asset, success signal, and fallback. Add a monitoring checklist for product errors, customer questions, analytics, and payments.
Week 15 · Case study
Source note: Reported example from a third-party case study. Adoption and user counts are reported there, not independently verified here. The student-sized version below is an illustrative exercise, not part of the reported case.
A 2026 case study describes a 16-year-old student who used AI-assisted development to build a class-scheduling application. The product was piloted with students before being adopted by the school and reportedly reached approximately 1,200 users.
This is a particularly relatable launch model because the builder did not begin by addressing the whole education market. The launch started within one reachable community where the problem, users, communication channels, and feedback loops were visible.
Launch inside one community before launching “to the internet.” Prepare a short demonstration, onboarding instructions, a feedback form, a support contact, and a way to reverse or correct bad data.
What must work reliably on launch day for the first 20 users to succeed?
Respond in your submission →Execute the public launch and work toward three or more paying customers. Submit the launch run sheet, public links, funnel results, customer questions, issues and responses, testimonials with permission, and next actions.