Your competitors aren't building perfect code either. If you spend 6 months building the theoretically perfect architecture, they'll ship something "good enough" in 2 months and eat your lunch. You'll have beautiful code that nobody uses. Tech debt is the cost of moving fast enough to win. The biggest risk in software isn't technical debt-it's being irrelevant. Markets move fast. User needs evolve. Competitors iterate. While you're refactoring for the third time to achieve "clean architecture," your competitor is talking to users, learning what actually matters, and shipping features that solve real problems.
Maybe there's an extension to that dream where you sell it for millions, or where you build a company that allows you to retire. But the core of the dream is this: you have a thing that you think needs to be built, you build it, and then people come and give you money for it because they actually need it.
Where Does EdTech Growth Come From? Learning tech companies have evolved a lot during the past decades, and changes like AI, hybrid learning, and immersive technologies have played a crucial role. CEOs are usually the masterminds behind a company's business growth strategies. They are the visionaries and core decision-makers who inspire team members. The CEO playbook for EdTech business growth strategies is always evolving according to the latest trends and industry changes,
David Fischer - Former CRO at Meta, Fischer scaled annual revenue from less than $1 billion to over $100 billion, connecting 200 million businesses with customers worldwide. Earlier, he built Google's early sales engine. Adam Bain - Former COO of Twitter, Bain built its sales, product, and ad operations from scratch, growing revenue from millions to billions in five years.
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In 2014, Snapchat acquired our startup, Scan, for $54 million, back when QR codes were still relatively new. Most people hadn't tried them, and phones didn't support them natively. The technology was promising, but the experience wasn't, so it sat behind a clunky UX. We removed that friction and made QR codes easier to create, scan and deploy, which led to quick adoption.
"We scaled Tesla in 30 months from $2 billion in revenue to $20 billion in revenue," Jon McNeil stated. Understanding how to measure product-market fit helps assess scaling potential effectively.
In May 2023, Olympia, an AI-powered assistant service for solopreneurs, began with a minimal viable product (MVP) aimed at supporting small teams without large marketing budgets.