SaaS MVP development in Denver.

The technical reality of shipping a vertical MVP in Denver.

Questions from Denver founders.

We are building for the cannabis industry. What does that genuinely constrain in an MVP?

Payments and banking, concretely, and less than rumor suggests elsewhere. Card networks still exclude cannabis transactions, so consumer-facing products lean on ACH-based providers, PIN debit arrangements, or invoice flows, and your MVP's billing design has to choose a rail that survives provider churn (abstraction over the payment provider is not optional here; it is survival). Banking for your own company is solvable with cannabis-friendly institutions but affects how Stripe-style tooling applies to your customers versus you. Outside money movement, the constraints are ordinary software: state-by-state compliance data (license types, reporting formats like Metrc integration) is a data-model problem we scope per state, not a blocker. We have the payments conversation in week one because it shapes the product more than any feature decision.

Our buyers are field crews and site managers, not desk workers. How does the MVP handle connectivity?

By being honest about what offline-tolerant means at MVP cost. A full offline-first sync architecture (conflict resolution, queued writes, local databases) is genuinely expensive and usually phase-two material. The MVP pattern that serves Denver's field industries well: a progressive web app that loads fast on weak signal, aggressive caching of reference data (sites, checklists, prior entries), form drafts that survive a dropped connection via local storage, and uploads that queue and retry rather than fail. That covers the canyon-and-basement reality for most field workflows at a fraction of true-offline cost. When a workflow truly demands disconnected operation for hours (remote energy sites, backcountry work), we say so and scope the sync architecture as the explicit, priced decision it deserves to be.

Seat pricing or usage pricing for a vertical ops product?

Seats, almost always, at launch, with one carefully chosen usage meter underneath. Vertical operations buyers (energy services, outdoor operators, clinics) budget in headcount and understand seats; novel pricing models add friction exactly where a young product cannot afford it. The refinement that earns its keep: identify the one cost-correlated event worth metering (documents processed, reports generated, AI analyses run), meter it from day one for visibility, and introduce it as a pricing component only when the data shows seat pricing leaking margin on heavy accounts. We wire Stripe for tiers-plus-metered-events as standard so that evolution is configuration. The trap to skip: enterprise-style 'contact us' pricing at MVP stage, which suffocates the self-serve and referral motion small vertical markets run on.

Our team is two founders and a part-time contractor. Can we actually operate a custom product?

Yes, if the build respects that constraint as a requirement rather than an afterthought. Operability for a two-person team means: boring standard architecture (Next.js, Postgres, managed hosting) with no exotic infrastructure to babysit, monitoring that alerts on what matters and stays silent otherwise, deploys that are one command or one merge, a runbook written for someone who is not an engineer-on-call, and admin tooling for the support tasks you will actually do weekly (resend an invite, fix a record, refund a charge). We build those admin affordances into scope deliberately because they are what 'operating' a SaaS mostly is. Plus an optional maintenance bridge that handles updates and incident response until revenue hires your first engineer.