the first version of our fintech product had 14 features.
the version that made us money had 2.
i'm not saying we wasted the other 12 entirely — some of them became useful later. but we spent four months building things users never touched, while the two things they actually needed were buried under a product that felt overwhelming to onboard into.
fintech is one of the categories where this mistake is most expensive, because the instinct to "get it right" before launching is stronger and the fear of getting it wrong is higher. compliance requirements are real. security is non-negotiable. the surface area of what could go wrong feels enormous.
but "comprehensive" and "correct" are different bars, and confusing them at the MVP stage costs months you don't have.
what fintech founders overbuild
the patterns are consistent enough that i can predict them before i've seen the product.
full transaction history on day one. before anyone has transacted anything. founders build beautiful ledger UIs, export functions, filtering by date and category — for a product with zero live transactions. the history feature is genuinely important. it's not important in week one.
complex permission systems. admin, member, viewer, read-only, read-write, compliance officer. for a product where the first five customers will each have one user. start with one role. add more when someone actually asks for them.
reporting and analytics dashboards. again — before there's data. founders build dashboards showing charts that display nothing, because they're imagining what the product will look like at scale rather than what it needs to do for the first user to find it useful.
pre-emptive compliance over-engineering. this one is the most expensive. compliance requirements in fintech are real and they matter — but there's a version of compliance readiness that's appropriate for an MVP and a version that's appropriate for a Series A company. building the Series A version with Series A rigor at the pre-seed stage burns runway on infrastructure your first users will never see.
what you actually need in a fintech MVP
the core question is: what is the financial action this product enables, and does it work correctly?
that action — the thing money moves through, the thing a user does with their financial data, the thing that creates value — needs to work flawlessly in the MVP. everything else is secondary to that. the history, the reporting, the permissions — they support the core action. they don't replace it.
auth that actually works matters in fintech more than in most categories. not placeholder auth — proper session handling, two-factor for anything touching real money, and password reset that doesn't break. this is non-negotiable infrastructure that some founders treat as a later problem. it isn't.
basic audit logging is worth building early. not a full compliance framework — just a record of who did what and when. this costs very little to build at the start and costs significantly more to retrofit later. it also gives you data that's genuinely useful when something goes wrong, which it will.
the AI integration question
fintech founders are frequently building products where AI is supposed to be a core differentiator — an AI that categorises transactions, predicts cash flow, surfaces anomalies, or helps users make better financial decisions.
the mistake is building the AI feature before the underlying data infrastructure works. an AI that categorises transactions needs transactions. an AI that predicts cash flow needs a cash flow to work from. the intelligence layer is only as useful as the data layer beneath it.
in fintech MVPs specifically: build the core data flow first, get it working correctly for real users, then layer the AI on top of real data. the AI features will be better because they're trained on actual user behaviour rather than synthetic data, and you'll know what the AI actually needs to do because real users will have shown you.
at DreamLaunch we've built fintech products with openai and claude integrations — the pattern that works is always: core workflow correct first, AI as the second layer once the data exists.
compliance: what you actually need at MVP stage
the honest answer is: it depends enormously on what your product touches.
if you're handling real money movement or payments — yes, you need payment processor compliance from day one. stripe handles most of this infrastructure if you're using them as a layer. if you're going direct, talk to a fintech lawyer before you build, not after.
if you're working with financial data but not moving money — displaying bank transactions via plaid, helping users analyse their spending — the compliance requirements are lower at MVP stage and the priority is getting the data flow right.
if you're in a regulated category (lending, insurance, brokerage) — the regulatory questions come before the product questions. get that clarity before you write the first line of code.
what most fintech founders don't need at MVP stage: SOC 2, GDPR-complete data infrastructure, full audit trails, pen testing. these matter — just not before you have users. build them in as you grow, not before you have anything to protect.
the right fintech MVP scope
core financial action that works correctly. auth that doesn't cut corners. basic logging. one AI feature that does a real job (not a demo-only capability). a way to see what's happening in the product without querying the database directly.
that's a six-week build. everything else is v2 — and v2 is informed by what real users actually need, which is almost always different from what founders imagined they'd need.
if you're building a fintech product and want to talk through what your v1 scope should actually be — we've done enough of these to have an informed view. we'll tell you what to cut and why, which is often the most valuable part of the scoping conversation.
what's the core financial action your product enables?
