Feasibility vs pilot
The distinction between proving the technology works and proving a buyer will pay to use it in their environment.
Your goal, roadmap and coaching adapt to how a deep tech business really makes money: technical milestones, bill of materials, manufacturing risk and long lead times.















How your AI coach reads the business
When you tell your AI coach you run a hardware or deep tech company, it reads your numbers through a capital-intensive lens, not a software one.
The distinction between proving the technology works and proving a buyer will pay to use it in their environment.
The total cost of all components, assembly and testing required to produce a single unit at scale.
The time between ordering components and having a finished product ready for the customer.
Specific performance targets that unlock the next stage of funding or commercial adoption.
YOUR ACCELERATION PLAYBOOK, BY GOAL
Goals you choose, not steps in order. Your AI coach tailors the roadmap to your own numbers. Figures below are rules of thumb, not targets you must hit.
What counts as proof
A technical demonstration that solves a specific commercial problem, with a buyer willing to fund a trial.
What your AI coach flags
Example roadmap moves
How an operator helps
Operators who have run service businesses spot these early, and work through them with you.
Perfecting the technology in the lab without checking if the market needs that level of performance.
Finding that a product easy to build by hand is impossible or too expensive to build in a factory.
Ignoring the travel and labor costs required to keep early hardware running at customer sites.
Designing a product around a specific chip or part that suddenly becomes unavailable or triples in price.
What they look at
Your full bill of materials, including assembly and testing time.
What they push back on
Parts that are too expensive or hard to source at higher volumes.
You leave with
A cost-reduction plan for the next version.
What they look at
The technical targets required for your next funding round.
What they push back on
Doing interesting work that doesn't actually unlock the next capital injection.
You leave with
A prioritized list of technical tasks for the next quarter.
What they look at
Your key suppliers and their lead times.
What they push back on
Critical dependencies that could halt your business for months.
You leave with
A list of backup suppliers for the three most risky parts.
What they look at
Data from your pilots and early field units.
What they push back on
Engineering assumptions that don't match how the buyer actually uses the tool.
You leave with
A list of three product changes to improve reliability or ease of use.
01
Nia Mensah
Retention strategy
Luca Romano
Customer activation
Tom Brennan
Onboarding design
02

Amara Okafor
Pricing strategy · 30 min
Tue 23 Sep
10:00
Tue 23 Sep
15:30
Wed 24 Sep
09:00
Wed 24 Sep
17:00
Shown in your timezone
03
Session · 30 minutes
Idea validation & customer discovery
Key takeaways
Buyers solve this today with spreadsheets and extra hours.
Three of four would pay to cut onboarding to one day.
The pilot offer needs a defined start date, not a demo.
Action points
Draft the paid pilot offer
Interview two more buyers
Saved to your company brain and Roadmap.
Calls happen live in the platform
No links out. The recording and summary save themselves.
“Is this segment worth building for?”
When to call an operator
Re-evaluate the design or find a new partner before committing to a run.
Decide whether to pivot the approach or seek an extension from investors.
Calculate the long-term support cost before diverging from your standard product.
Questions, answered
Everyday Founders membership
Your AI coach, goal-led playbooks and unlimited 1:1 operator advice in one membership.
Satisfaction guarantee. Full refund within 14 days if not satisfied.