Paste your idea. Get an honest verdict in 2 minutes.
Then the full blueprint your AI coding tool can build. Phase by phase. No subscription.
No signup for your first verdict
Why not just ask ChatGPT?
Fair question. Here's the same question, answered cold by a general chatbot and answered by the studio after it researched the venture — judge for yourself.
“How big is the real market for connecting retired engineers with hardware startups for paid mentorship?”
This looks like a growing niche within the broader mentorship and gig-economy space. As more hardware and deep-tech startups launch, there's likely to be increasing demand for experienced technical guidance, and many retired engineers are looking for flexible ways to stay engaged and earn extra income. The market should grow steadily as remote consulting becomes more normalized. For precise figures, you'd want to look at reports on expert networks, the broader mentorship-platform market, or gig-economy consulting trends.
Global expert-network market estimates disagree by a wide margin: Grand View Research values the category at $3.4B in 2024 (14.1% CAGR to $8.9B by 2032), while Coherent Market Insights, using a narrower definition, puts it at $2.1B in 2024 (11.8% CAGR) — a ~60% spread that likely reflects scope, not disagreement about growth. Neither source tracks hardware-specific mentorship separately; it's a rounding error inside both totals today. The defensible top-down read: TAM $2.1–3.4B, SAM $180–320M (an inference, built bottom-up from the serviceable founder population and cross-checked against observed per-engagement pricing — not read off a published total, since none exists), SOM $180k–950k cumulative over 3 years for a two-person team at this stage.
Built to be honest, not agreeable
A chatbot optimizes for a helpful-sounding answer. The studio scores your idea on a fixed rubric that's allowed to say no.
Sourced, not plausible-sounding
Every figure in a research report is tied to a named, dated source — inferences are labeled as inferences, never dressed up as facts.
A system that remembers
Each phase consumes the real output of the phases before it, so your strategy answers the actual competitors your research named.
A deliverable, not a chat log
You get finished documents an investor, a co-founder, or an AI coding tool can act on directly — no copy-pasting a conversation into shape.
Read the full, honest comparison — including where a chatbot is still the right tool
What makes this different from other idea-building tools
A pipeline, not a prompt library
The studio understands your specific venture first — your idea, your intake answers, your earlier documents — then writes. Nothing is generated from a blank template.
A quality gate before delivery
Every document is checked against a strict contract — required sections, minimum depth, real sources — and quietly regenerated if it falls short. You never see the lazy first draft.
Pay per phase, no subscription
A free honest verdict first. Then buy exactly the phases you need, one at a time, from €27 — and stop whenever you want.
Grounded follow-ups included
Ask questions about any delivered document and get answers grounded in its actual content — with citations back to the exact section.
Verdicts that can say no
We score every idea honestly — low scores and all — instead of flattering you into paying.
Research you can check
Market research reports are generated to a strict contract — named sources, dated figures, a data-freshness table — so you can verify every claim yourself before you rely on it.
Sprint plans your coding tool runs
The blueprint ends in sprint-ready prompts Claude Code and similar tools can execute directly.
87%
87% of founders never need a regeneration
The quality gate catches weak drafts before you ever see them. And if you still want changes — every paid phase includes 3 regenerations with your feedback, built into the price.
3 tries included with every paid phaseSee it before you pay for it
One real spread from a complete sample blueprint, unedited.
