Blog
Articles on product strategy, engineering principles, and building software that lasts.
Many founders building their first product assume certain features are 'essential' for launch. This article explores which of these frequently anticipated features initial users often ignore, and how to focus your early development efforts more effectively.
Many founders, particularly those with deep domain expertise, unwittingly scope their first version product (MVP) to include features only relevant to later-stage iterations (V3). This article details how to recognize and avoid this common, costly pitfall and build a truly minimal first product.
Reporting often seems like a straightforward add-on, but it frequently becomes the most architecturally complex and resource-intensive component of a software product. This article explores why naive reporting approaches fail and offers a better, iterative path.
You're building your first product, and serverless is everywhere. While powerful for some use cases, it can introduce hidden complexities that derail early-stage development and learning.
Many experienced operators mistake a powerful internal automation for a market-ready product. This article helps distinguish between the two to save time, money, and unnecessary complexity.
Early-stage products should nearly always choose a monolithic architecture. It simplifies development, deploys faster, and costs less. Microservices introduce unnecessary complexity for products defining their core value.
Deciding whether to pivot or persevere is a critical product decision. This choice depends on clear signals from your target market and the fundamental viability of your solution's core hypothesis. Founders must assess problem validation, solution efficacy, and team commitment.
Most founders hire engineers before they have clarity. Software is not the first step in building a software company.
MVP speed depends on clarity, not engineering capacity. Here are honest timelines across product types — and where time actually gets lost.
AI is the fastest way to amplify a bad product decision. Here's a framework for knowing when AI helps and when it hurts.
Both agencies and in-house teams work — and both fail. The difference is judgment vs. continuity, and matching structure to stage.
Products don't fail because of bugs. They fail from wrong metrics, missing adoption loops, absent operators, and feature-led roadmaps.
Better Software is a product engineering company, part of Better. We build software for owners and founders who already understand the problem.
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