Tag: startup
Articles tagged with startup
Why Speed Without Architecture Is a Trap
How moving fast quietly destroys your ability to move at all. 'Move fast' became one of the most dangerous half-truths in tech. Speed without architecture is one of the most reliable ways to stall a company—not early, but exactly when momentum should compound.
Why Technical Debt Is a Business Problem, Not a Dev Problem
And why companies keep paying for it—even when they think they're saving money. Technical debt is not a technical problem. It is a business model problem. Companies that don't understand this don't just move slower—they make systematically worse decisions.
What Investors See First in Your Tech Stack
And why it's rarely the framework you're proud of. Experienced investors don't evaluate tech stacks by brand names. They evaluate them by risk signals. Your tech stack answers questions like: How fast can this company move next year? How fragile is execution under pressure?
How to Prepare Your Startup for Due Diligence (Tech Edition)
What investors actually look at—and what silently kills deals. Once interest is real, technical due diligence quietly decides deal quality: valuation adjustments, earn-outs, retention clauses, or a polite 'we'll get back to you.'
Why Startups Should Invest in DevOps Earlier Than They Think
And why 'we'll fix infrastructure later' quietly kills velocity. DevOps is not about servers, tools, or YAML files. It's about how fast and safely a team can turn decisions into reality. Startups that postpone DevOps don't save time—they accumulate execution debt.
From MVP to 100k Users: What Must Change Technically
The systems most startups forget to rebuild—until it's too late. Most MVPs are built to answer one question: 'Does anyone want this?' Systems at 100k users answer a different one: 'Can this survive daily reality without burning the team?'
ClickHouse vs BigQuery: Real Startup Use Cases
Not benchmarks. Not hype. Actual decisions teams have to make. When each system actually works in real startup environments—and when it becomes the wrong choice. Learn when to choose ClickHouse, when to choose BigQuery, and when to use both.
How Startups Lose Money Because of Bad Tracking
The silent leaks that don't show up in dashboards—but kill growth. Most startups don't lose money because of bad ideas. They lose money because decisions are based on incomplete data, teams optimize the wrong things, and success is measured too late—or incorrectly.
Product Analytics vs Marketing Analytics: Stop Mixing Them
Or you'll keep making confident—and wrong—decisions. Most startups mix product analytics and marketing analytics, which answer fundamentally different questions. Learn why this breaks decision-making and how to separate them properly.
Why GA4 Is Not Enough for Product Decisions
And why most startups are flying blind without realizing it. GA4 answers marketing questions—not product questions. Learn why using it as a product decision engine leads to false confidence, slow learning, and expensive mistakes.
Why 80% of AI Startups Will Die After the Demo Phase
In 2025, building an impressive AI demo is easy. Keeping it alive in a real product is not. Most AI startups don't fail because their models are bad—they fail because the demo works and nothing beyond it does.
Why Rewrites Kill Startups (And How to Avoid Them)
Almost every startup considers a rewrite at some point. But rewrites kill more startups than bad ideas ever do—slowly, quietly, and expensively. Learn why rewrites feel inevitable but aren't, and what actually works instead.