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11 posts tagged Founders. Read these to go deeper into this specific topic.
6 min read
GPT-5, Claude 4, Gemini Ultra, and DeepSeek are all competing for the same market. Here's how founders should think about picking models, avoiding lock-in, and building durable products in a race where the goalposts move every quarter.
7 min read
The first wave of AI startups built horizontal tools — general-purpose platforms, AI wrappers, chat interfaces. The next wave will be vertical. Here's why deep industry specialization is where the durable AI companies of 2030 are being built right now.
8 min read
AI compute costs have dropped dramatically — but they're still the largest variable cost for most AI products. GPU pricing, energy consumption, and inference optimization aren't infrastructure nerd topics — they're your unit economics. A practical breakdown for founders building AI products in 2026.
7 min read
A founder-friendly decision framework for balancing cost, control, quality, and compliance in model selection.
7 min read
A lean data strategy framework for founders who need reliable AI outcomes without hiring a full data team.
7 min read
A practical roadmap to move from an MVP with AI features to a truly AI-native product with durable defensibility.
7 min read
How to use AI assistants for faster idea validation while preserving the human interviews that matter most.
9 min read
A founder-first breakdown of AI tools you can adopt quickly without a dedicated machine learning team.
9 min read
How founders can use predictive analytics to improve planning, retention, and revenue decisions.
9 min read
A practical framework to measure AI project ROI with clear baselines, cost buckets, value metrics, and executive-ready dashboards.
9 min read
A practical playbook for founders to track, interpret, and operationalize evolving AI regulations.