Blog
Practical guides for founders who would rather solve a real problem than chase a thesis: where to find problems to solve for a startup, how to validate an idea in a weekend, and how to build AI products that survive real users. Written alongside our directory of 100 scored startup problems. Every post was refreshed with current facts on 18 October 2026.
A weekend method for finding problems worth solving: which online habitats to read, how to score each complaint on four axes, whether to solve your own problem, and the traps that waste a year.
A 5-axis rubric, the five-names test, and a Friday-to-Sunday plan that ends in a go or no-go decision. Plus which validation signals count (pre-orders, paid workarounds) and which do not (likes, compliments).
Which categories carry the highest opportunity scores in our live directory (HealthTech leads, then FinTech), which AI ideas look crowded, and five bets worth testing first, each linked to its scored problem.
v0, Lovable, Bolt and Replit ship a working demo in an hour; two weeks later the codebase is hard to change. Why it happens, what 2026 security research found, a security checklist, and the 4-step cleanup that works.
A 6-point checklist for MCP servers in Claude Code, Cursor, VS Code and Windsurf: who publishes it, maintenance, permissions, where it runs. Plus tool poisoning risks and where to find servers.
The four ways agent costs spiral, four guardrails that stop a runaway loop, what provider spend limits do and do not cover, and the built-in levers (caching, 50% batch discount) to switch on first.