🥚 Digits was born out of frustration 5 years ago. 👎 Over the course of my two prior startups, I was struck by the difference in data quality between the product-engineering side of the business (where we had live user dashboards, performance monitoring, and real-time graphs) and the finance side of the business (where I was waiting 2-3 weeks after each month for a black & white PDF balance sheet and income statement). 😕 "That's crazy!", I thought. All I wanted was a real-time finance dashboard that showed a live view of our cash, burn, runway, sales, and top expenses. "How hard could it be?" Famous last words. 🧅 Over the past 5 years, we have obsessively peeled back the onion, from accrual- to cash-basis accounting, to bank feeds and reconciliation, to transaction string parsing and vendor identification, to chart of accounts canonicalization, to custom ML models trained on double-entry accounting rules, and more. 💾 Every layer reveals a whole host of new issues that compromise data quality and inhibit automation, and the roots trace all the way back to the banking mainframe revolution of the '60s and early '70s. But don't worry—you don't need to know COBOL to understand what's broken, or how we can fix it. 🐣 This ends today with Digits, the first new accounting platform in 20 years. 👉 Visit digits.com to get started