Typical conversations
- Prompt evals before a customer workflow ships.
- Pricing v1 before support and services take over the business.
- Infrastructure decisions that matter before multi-tenant complexity lands.
Private founder community for serious builders working with AI
A private founder room for turning AI-assisted products into actual companies.
CatsDojo is built around the work after the prototype: product judgment, architecture, distribution, pricing, and the operating decisions that make a product hold up in the real world.
Reviewed access
Membership is intentionally reviewed so the room stays useful to people who are actively building.
Private founder context
Conversations are designed for specifics, not performative hot takes or public founder theater.
Operator-level topics
Product, AI workflows, infrastructure, distribution, pricing, and the work between prototype and company.
Inside CatsDojo
Builders onlyThe room is built for specifics.
Fewer broad takes. More product tradeoffs, architecture constraints, distribution signal, and operating decisions people can actually use.
What does not fit
Growth-hack theater, vague founder posting, and recycled advice that sounds good in public but does not survive the product.
What grew out of it
ScaleMule came from the same founder problem set: turning AI-assisted software into secure, durable infrastructure.
What CatsDojo is
Serious company-building, with a sharper signal-to-noise ratio.
The shape is closer to an operating room than a social feed. Founders bring current problems, compare notes, and get pushed toward cleaner decisions.
What it is
A builder community for the work between idea and company.
Product strategy, AI workflows, technical architecture, launch planning, distribution, pricing, hiring, and the operating mechanics that determine whether a product can grow up.
What it is not
Not a course, not an accelerator, not founder content marketing.
No guru posting. No generic career advice. No public-startup cosplay. The goal is practical help from people with real product context.
Where the work happens
Three clusters of work show up again and again.
The categories are broad, but the conversations inside them are not. They stay rooted in current products, current constraints, and current tradeoffs.
Product and positioning
Figure out what deserves to exist before you overbuild it.
Members pressure-test ideas, narrow scope, and work through the product decisions that shape the company you are actually building.
- Early validation without vanity metrics
- Packaging, pricing, and onboarding choices
- Which AI feature is real leverage and which is noise
AI systems and architecture
Move from clever prototype to reliable operating system.
The conversation gets concrete fast: tenant isolation, evals, prompting discipline, backend primitives, and the realities of production AI.
- Prompt and pipeline design that survives contact with users
- Security, identity, storage, and operational control
- How to avoid painting the product into a corner
Distribution and operations
Turn shipping momentum into something repeatable.
Founders compare what is working now across landing pages, ads, SEO, partnerships, hiring, and the day-to-day mechanics of running a small company.
- Channels with real signal versus expensive distraction
- Founders' hiring and contractor decisions
- Operational habits that keep a small team sharp
What the room sounds like
The best conversations are concrete enough to change someone's next decision.
These are representative examples of the kind of questions that belong here: specific, current, and grounded in a real product problem.
Representative thread
Do we lock in tenant isolation now or buy time until first revenue?
A technical founder weighing architecture debt against launch speed, with other operators pushing on where the real risk actually sits.
Representative thread
What is the first pricing model that does not train buyers to expect custom work?
A packaging conversation that starts with sales friction and ends with onboarding, support, and long-term margin.
Representative thread
Which AI workflow is core product value and which part should stay boring software?
Less novelty, more hard choices about reliability, customer trust, and what should be automated at all.
Community principles
A small set of rules protects the value.
- Share what actually changed after shipping.
- Protect private founder context.
- Bring specifics, not branding or posturing.
- Prefer practical feedback over generic advice.
Small by design
CatsDojo is intentionally curated so members can speak plainly about what is working, what is breaking, and what they would not post in public.
Built from the same work
ScaleMule came out of the exact founder problem set CatsDojo keeps running into.
AI made it easier to build prototypes. It also made the path to secure, multi-tenant, production-ready software much more obvious. ScaleMule is the infrastructure answer to that problem set.
What it covers
Identity, tenant isolation, events, storage, billing, and operational control for products that need to act like real software, not demos.
CatsDojo is the community. ScaleMule is one thing that grew out of the work happening inside it.
Visit ScaleMuleAccess
Reviewed access keeps the room useful.
The goal is not exclusivity for its own sake. It is a better environment for people who are actively building and need a place where the conversation can stay direct.
01
Apply with context
Show what you are building, what stage you are in, and why this room is relevant to the work in front of you.
02
We review for fit
The bar is simple: active builders, real products, and people who can contribute signal back into the room.
03
Join a sharper room
Once inside, the value comes from specific conversations, serious peers, and less time wasted on founder performance.
Ready when you are
If you are building a real product, ask for access.
The strongest applicants usually know exactly why this room matters to the problems they are working through right now.