BrainGrid

Taimur Haider, Jacklyn William, Tyler Wells, Nico Acosta, Abir Maji, and Matt Bernier looked at the AI coding revolution and saw something everyone else was ignoring: the prompts are getting better, but the planning is still garbage. AI coding tools like Cursor and Claude are incredible at writing code—but if your specs are vague, your app breaks, your features conflict, and suddenly you're spending more time debugging than building. So they built BrainGrid, the AI Product Planner that forces you to think before you code.

Here's the thing about AI coding—everyone's hyping up the "vibe coding" era where you just describe what you want and boom, it's built. Except it doesn't work like that in reality. You get a prototype that "works," then you try to add a second feature and everything falls apart. BrainGrid solves this by making you write proper specs upfront: goals, context, architecture, edge cases, acceptance criteria—all the stuff that actually makes shipping possible. It breaks big features into discrete tasks your coding agent can execute autonomously, so you're not just hoping for magic.

Over 2,000 builders are already using BrainGrid, and the results are ridiculous—one user reported his second project went 80 percent faster, up and running in a single day. That's not incremental improvement, that's a complete workflow transformation. They're solving the boring-but-critical problem that nobody else wanted to tackle: making AI coding actually scalable past the MVP stage.