Top 5 Questions Every New Fintech Founder Asks

We talk to a lot of fintech founders. Early-stage builders working on personal finance apps, bookkeeping tools, credit builders, budgeting products, tax platforms. Founders who need access to real financial data from real customers to prove their unique value proposition.

What they're often unprepared for is how different fintech is from building in other categories. As Andrew Endicott of Gilgamesh Ventures puts it on the Fintech Leaders podcast: "Risk, regulation, the peculiar economics of lending and insurance, the way that things that look good in other industries — like fast growth — can actually be destructive in many areas of fintech."

On nearly every call, these 5 questions tend to surface. Founders coming from outside the financial data/open banking sector are usually left to figure it out ad hoc, usually right before they're about to commit to a decision they'll live with for years.

You deserve to clear these questions up sooner. So, here are the five we hear most from new builders, along with our honest answers.

"Which aggregator should I use? Does it actually matter at this stage?"

This question always seems to come up first. The question isn't really about which aggregator to choose, either. It's about whether picking the wrong one means rebuilding later.

The short answer is: it matters, but less than you think, as long as you structure the integration correctly.

Aggregators like MX, Finicity, Akoya, and Plaid each have genuine strengths. MX leads in coverage for credit unions and community banks. Finicity leads in OAuth connections, the higher-fidelity type of bank connection that doesn't require users to hand over their credentials. Akoya is the only direct path to Fidelity without going through a reseller. Plaid has the most developer-familiar documentation and the widest name recognition.

But here's what most people don't tell you: no single aggregator covers everything. The builders who avoid a painful refactor later are the ones who design their data layer for expansion. At first, it might make sense to build directly against one aggregator's data schema. However, that creates a big headache when you want to improve coverage and functionality with more integrations. If you build against a normalized data model that abstracts the aggregator underneath, adding or swapping providers is a configuration change. 

"Doesn’t an aggregator provide the data I need? Why add enrichment?"

Most builders don't know enrichment exists until someone tells them. Which is wild, because it's one of the most consequential decisions in the stack.

Raw transaction data from an aggregator looks like this: SQ *COFFEE SHOP 4829, $14.72, 2026-04-14. That's what the bank surfaces, often without a business name or a category, and certainly not any signal about the subject’s income or spending patterns.

You can turn that transaction into something far more useful. Enrich data from aggregators with accurate merchant normalization, category labels, income detection, cashflow signals and more. No additional engineering needed from you.

Enrichment is particularly important for AI-based applications. Raw aggregator transactions have error rates that will quietly degrade your product quality in ways users won't explain; you may not even know of a problem until they churn. Providers like FinGoal, Ntropy, and Pave specialize in accurate categorization and insights, making the raw data far more valuable to your product.

"How long does it actually take to get to production?"

The timeline question comes in two forms. First, how long until I can ship this to users? Then, can I test with real data before I've committed to paying?

In order to request and assign a license to any aggregator, you’ll need to account for about two weeks lead time. If you’re using Quiltt, the approval runs in parallel with your sandbox build. Quiltt applies for your production API keys on your behalf, registers your application for OAuth with the aggregators, and runs a quick KYB check. 

The free Quiltt sandbox covers the full platform to configure your application with any aggregators or enrichment providers we support. However, the aggregators don't simulate the most realistic data shape in a sandbox. Budget an additional week or two to test with real bank accounts after you get production keys.

"What happens when a user's bank connection breaks?"

When customers ask about coverage or refresh rates, they’re often homing in on this concern: how can I minimize the risk that my end customer can’t connect to their bank? But the real question is: am I building a product that's going to break in ways I can't control and can't explain to my users?

Some connection hassles are expected. Banks might require monthly re-authentication of customer accounts. Others depend on your configuration. For example, if certain banks don’t offer OAuth connectivity, the aggregator might make that connection using screen-scraping, which is more fragile than APIs. 

When a connection does fail, the reconnect experience matters more than most builders realize. You can design the reconnect flow so they don't have to search for their bank again before re-entering their credentials. You can also choose a multi-aggregator setup, which can gracefully route the reconnection to a more stable option. Users barely notice. When you're building on a single aggregator with no fallback, they notice a lot.

"How can I afford access to real account data before product launch?"

Real financial data is expensive. Major providers optimize for enterprise contracts, and early-stage founders fall outside their addressable market. The first provider you contacted may have even disqualified you or quoted you an astronomical sum.

Quiltt gets founders. That's specifically why our Builder Plan exists. It's $100 a month. No annual commitment, no enterprise negotiation, no minimum volume requirements. You get a production environment, the full SDK across React, React Native, iOS, Android, and Flutter, one aggregator of your choice, and one enrichment provider. There's nothing to rebuild when you grow; you just upgrade the plan and add providers.

The data infrastructure decision is worth getting right once. Rebuilding a data layer after you have users is one of the more painful engineering projects a small team can take on. Getting started with a normalized, multi-aggregator-ready foundation is the decision that compounds in your favor rather than against you.

There's a reason these five questions surface on almost every builder intro call. They're not just questions about Quiltt; they frame the bootcamp to developing with the fintech stack. Founders shouldn't have to learn this on a sales call.

The stakes are real. Oscar Hong spent three and a half years on Plaid's growth team evaluating more than a thousand early-stage fintech companies before building Startups.RIP, a database cataloging what went wrong at the 500+ fintech startups Y Combinator has funded, the majority of which have shut down. Hong told Forbes: "The failure mode of being too early is the same as being wrong."

But timing isn't the only way fintech founders lose. Hong is equally direct about what happens when founders enter a market without understanding its constraints: "Many of the ideas that were tried — it wasn't like there was no market demand. It was simply that the market size was so constrained that it wasn't designed to be a venture scale problem." 

For fintech builders specifically, those constraints often show up in the stack before they show up in the spreadsheet. A brittle aggregator integration, a missing enrichment layer, a data model that can't expand: none of these kill a company on day one. They kill it eighteen months in, when a refactor is the last thing a small team has capacity for.

Quiltt exists because its founders lived this. They hit the same walls, decided to fix them, and built the infrastructure they wished had existed on day one.