Discover the five most common technical-due-diligence red flags—from undersized or misaligned teams to “just-about-working” codebases—that VCs must spot before writing a cheque.
Lynx could revolutionize cross-platform mobile development with its unique approach and performance benefits. Is it time to switch from React Native or Flutter?
Single points of failure (SPOF) in startups lead to lost revenue, delays, and investor concerns. Building a documentation culture early reduces risk and ensures scalability.
Scaling a startup is exciting—but chaotic. Teams often chase different priorities, leading to silos and lost focus. A North Star Metric can realign everyone around what matters most. Curious about how this works?
AI can be challenging. We break down three AI integration tiers—proprietary models, open-source solutions, and custom-built systems—to help you choose the right approach. From quick MVPs to scalable solutions, discover how to leverage AI effectively for your product.
Accessibility isn’t just ethical—it’s essential for reaching a wider audience and creating loyalty. Designing apps with inclusivity in mind boosts engagement, ensures compliance, and sets your product apart in a competitive market.
Large language models (LLMs) transform problem-solving by enabling natural, iterative conversations, ideal for fields like healthcare and legal services. They scale expertise and accessibility but face challenges like reliability and cost.
Reflecting on work through retrospectives helps software teams improve by identifying what went well and what didn’t. This promotes continuous growth, stronger collaboration, and better performance. Creating action plans from these insights leads to higher-quality results and a more cohesive team.
How to integrate AI into your engineering team. This guide explains how AI can make your team more productive.
