Building is easier than ever. Testing the right thing is still just as hard.
Today, with AI, anyone can build fast.
The bottleneck is no longer building. The bottleneck is testing the right idea, in the right way, for the right user.
Shipping features is easy. Solving real problems users will adopt is not.
We learned this the hard way:
Planning more doesn't solve it. Building more doesn't solve it.
Understanding the user and testing adoption early does.
Speed is a double-edged sword.
Moving fast without clarity just leads to faster mistakes.
Our approach to testing ideas now:
1. Shape First
Define who the user is.
Define the real problem.
Define the adoption barriers.
No "nice ideas"—only real pain points.
2. Build Micro-MVPs
Use AI to prototype fast: landing pages, mock apps, demos.
Ship only what is needed to test the value, not the full product.
3. Differentiate B2C and B2B Testing
| B2C | B2B | |
|---|---|---|
| User | Individual (emotion-driven) | Organization (rational + politics) |
| Adoption barrier | Low patience, high alternatives | Long cycles, internal approval needed |
| Testing speed | Very fast (days/weeks) | Slower (weeks/months) |
| MVP format | Landing page + basic product + sign-ups | Deck + prototype + real conversations |
| Key test | Do users care and convert? | Will a real buyer commit real attention/time? |
| Goal | Emotional reaction + willingness to pay | Rational decision + willingness to sponsor a pilot |
4. Prioritize Fast Signals
B2C: Sign-ups, pre-orders, usage.
B2B: Meetings, pilots, letters of intent.
Ship fast. Learn fast. Move on fast.
Constraints are our advantage:
Fixed time. Limited resources. Clear focus.
In the AI era, the winners won't be those who build faster.
The winners will be those who test smarter.
This is how we work at eseaeme fund now.