Building in Public: Our First Month

We believe in transparency. So here's an honest look at our first month building Corvio.

The Numbers

• Users in early access: 47
• Daily active users: 31 (66% DAU/MAU — we're happy about this)
• Average session length: 23 minutes
• Feature requests received: 89
• Bugs fixed: 127 (yes, more bugs than feature requests — that's early software for you)

What Worked

The Core Interaction Model

Our bet on "structure emerges" seems to be paying off. Users who get past the initial learning curve report feeling more organized than with traditional tools.

"I didn't realize how much mental energy I was spending on organization until I stopped doing it manually." — Early Access User

Performance

We obsessed over performance from day one. Sub-100ms response times for AI suggestions. Instant load times. It's paying off in retention.

What Didn't Work

Onboarding

Our first onboarding flow was too abstract. Users didn't understand what they could do. We've since added a guided first experience, and activation improved by 40%.

Mobile Web

We thought mobile web would be "good enough" for the first version. It wasn't. Mobile app is now a priority.

Key Learnings

1. Explain the "why" not just the "how" — Users need to understand the philosophy, not just the mechanics
2. Performance is a feature — Especially for AI products, speed = trust
3. Community > Marketing — Our best users came from word of mouth, not ads

What's Next

• Mobile apps (iOS first, then Android)
• Shared docs, memory, and team workflows
• More AI capabilities (while keeping the core simple)

Thanks for following along. We'll do another update next month.

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