The reusable thing isn't the stack — it's the archetype. Seven stacks, four coding tools, one set of invariants: that's the pattern that makes a template library compound instead of sprawl.
Most template libraries are a pile of unrelated scaffolds. FACTA Templates are one archetype expressed in seven stacks, designed to work across four coding tools. The pattern is the asset; the stacks are the instances.
The Pattern Behind the Library
Business-model patterns: the archetype is the value, and the stacks are the channels. One set of invariants — auth, typed data, CI, tests, architecture docs — expressed in cli, frontend-react, mobile-rn, backend-python, backend-rust, chrome-extension, and html-ppt-template. Only the stack changes; the invariants don't.
- 7 stacks, 1 set of invariants.
- Works in Claude Code, Cursor, Codex, OpenCode.
- Same rename flow (`<app>`/`<scope>`) across all of them.
Why One Archetype Beats Seven Bespoke Scaffolds
Seven bespoke scaffolds means seven things to maintain, seven ways to onboard, and seven chances to drift. One archetype means one mental model, one ownership path, and one upgrade that lands everywhere. The library compounds; the pile doesn't.
The Marketing-IP Angle
The asset is the pattern, and the pattern is what travels: an operator who learns the archetype once reuses it across stacks and tools without relearning. That's marketing IP that actually compounds — the customer gets more valuable to themselves the more they use it, not less.
What You Get
Three one-time tiers: one template, three, or all seven. No recurring, no SaaS, no lock-in. $50 once, free updates for life. The archetype is yours; the stack is your choice.
Conclusion
The asset is the archetype, not the stack. One set of invariants across seven stacks and four coding tools is what makes the template library compound instead of sprawl — and what makes $50 once the right price.
About FACTA
FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.
We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.
Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:
AI leadership that builds. Not just advises.
Get the archetype, pick your stack.
Browse the seven templates and copy the one that fits. See Package Builder for the toolkit that instantiates them.
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