Nitor8
AI runs your English customer interviews, so non‑English fou
Day 6 — Backtesting the Nitor8 hypothesis
Today I backtested the core hypothesis behind Nitor8.
Original hypothesis:
Non-English founders avoid customer interviews mainly because live English conversations feel stressful.
I reviewed public X and Reddit data around customer discovery, customer interviews, non-native founders, and common blockers.
The result was more mixed than I expected.
In the X sample, I found 28 relevant posts.
The most common blockers were:
finding customers: 11 posts / 39%
question design: 6 posts / 21%
network problem: 5 posts / 18%
time constraint: 4 posts / 14%
language barrier: 3 posts / 11%
live conversation pressure: 2 posts / 7%
In the Reddit sample, I found 42 relevant sources.
The strongest patterns were:
finding customers: 15 / 36%
network problem: 12 / 29%
question design: 8 / 19%
low reply rate: 7 / 17%
time constraint: 6 / 14%
language barrier: 5 / 12%
live conversation pressure: 3 / 7%
Small sample, and categories can overlap.
But the direction is clear:
Language anxiety exists.
But it does not look like the biggest blocker.
The bigger problem seems to be customer discovery execution itself:
Who do I interview?
Where do I find them?
What do I ask?
How do I send the request?
How do I get them to actually respond?
This changes how I think about Nitor8.
Nitor8 should not be positioned only as:
“AI runs English interviews for you.”
That is still useful, especially for non-native founders.
But the broader problem is:
Founders know they should talk to customers, but they get stuck before the interview actually happens.
So the product direction is becoming clearer.
Nitor8 needs to help founders move from:
“I should talk to customers”
to:
“I generated the right questions, sent the interview link, got responses, and received a report I can use.”
Today’s product implications:
Add guidance on who to interview
Add outreach/message support after link generation
Make question generation more Lean Customer Development based
Treat language support as a differentiator, not the only value
Track the real activation metric: did the founder actually send the interview link?
The uncomfortable learning:
My original pain was language.
But the market pain may be bigger than language.
It may be customer discovery execution itself.
That’s a better problem to build for.
I'm a Korean developer-founder building for English-speaking markets.
I read The Lean Startup. I read The Mom Test. I took notes. I genuinely agreed with the advice.
Then I did zero customer interviews.
Not because I was lazy.
Because of one specific thing I couldn't solve: live English conversations.
In university, I joined an English-speaking class. The teacher asked me basic questions. I could answer — barely.
But I couldn't ask anything back.
I couldn't react naturally. I couldn't keep the conversation alive.
Every exchange just died after my answer.
That same freeze followed me into building a startup.
Customer interviews aren't just about grammar.
They're about real-time decisions — when to push deeper, when to move on, when a vague answer means discomfort, and when it means you hit something real.
That's exactly where I fell apart.
So I became the founder the books warn you about:
One who believes in talking to customers, but quietly avoids it.
That's why I built Nitor8.
You describe your product in your own language.
Nitor8 generates interview questions.
You send a link to your target customer.
An AI interviewer runs the conversation in English.
You get a structured Lean-style report back in your language.
You still have to find the people.
You still have to send the link.
You still have to face what the report says.
But you don't have to perform in a live English conversation under pressure.
For founders like me, the alternative wasn't “perfect interviews.”
It was zero interviews.
I'm running a small early beta right now — Phase 0.9.
No cash or gift card incentives yet. Just free access, honest feedback, and a direct line to shape the product.
If this is your problem too, reply here or try it at:
I named my product Nitor8 because I wanted the name to carry the problem I’m trying to solve.
Nitor comes from Latin.
To me, it carries two ideas: striving and light.
That felt right because the founders I’m building for are not lazy. They are trying hard. They read the books. They understand that customer discovery matters.
But they still get stuck before the conversation starts.
I know that feeling because I’m one of them.
I’m a Korean founder building for English-speaking markets. Every startup book says, “Talk to your customers.” But if your customers are in the US or UK, that means doing live interviews in English.
For me, that is where the freeze happens.
Not just grammar.
Not just vocabulary.
The hard part is reacting in real time, asking follow-up questions, and keeping the conversation alive.
So I wanted Nitor8 to help non-English founders move from avoiding interviews to actually starting them.
The “8” is also intentional.
I don’t believe 8 interviews magically validate every business.
But 8 feels small enough to start.
Not 50.
Not 100.
Just 8 real conversations that can reveal patterns, risks, and signals.
That is the belief behind Nitor8.
You describe your product in your own language.
Nitor8 generates interview questions.
You share a link with your target customer.
An AI interviewer runs the conversation in English.
You get a Lean-style report back in your language.
It does not find customers for you.
It does not validate your idea magically.
It just helps you start the interviews you were avoiding.
I’m running a small beta now.
No cash incentives yet — just free access and a direct line to shape the product.
If you’re a non-English founder trying to interview English-speaking customers, I’d love your feedback.
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