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The Startup Architecture Guide
How to choose a stack, a data model and a deployment path you will not regret at 10,000 users.
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These are extracted from live engagements, not written for downloads. Use them, adapt them, ship faster.
PDF · 42 pages
How to choose a stack, a data model and a deployment path you will not regret at 10,000 users.
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The queries, queues and cache patterns I reach for when a Laravel app slows down.
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Everything that must be true before a first version goes in front of paying users.
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A reference API with auth, pagination, idempotency and versioning done properly.
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Prompts and evaluation rubrics from real AI products, with the failure modes documented.
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The one-page format I use to make technical decisions reviewable a year later.
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Thirty minutes, no pitch deck. Bring the problem - you'll leave with an honest read on scope, risk and the fastest credible path to launch.