#56 - 6.3 Million Yen in 20 Hours: The Model for Turning Dormant Notes into a Side Hustle
I haven't added a single new customer. Yet, 6.3 million yen landed in my account after just 20 hours of work.
This is the story of a sole proprietor working as an executive coach in Denver, USA. What she did wasn't new business development, but simply a "one more offer" to existing clients she had worked with over the past four years. She narrowed it down to 12 people facing the same problem, reached out to them, and 8 signed up for a group product immediately. Advertising costs were zero, and the total time from product design to operation was 20 hours.
As long as you think of a side hustle as "the work of meeting new people," this model won't emerge. "The model of having people you already know pay you one more time"—that is what I will talk about this time.
Today, I listened to this podcast.
Small Business Big AI (May 2026 episode) "AI-First Organizations: The Businesses That Will Dominate the Next Decade"
The hosts are Kim and Hal. It is a program that covers what happens when small companies rebuild their operations with AI as a premise.
Stop new business development and go after the "second time" from past customers
The thing that stuck with me most after finishing it was that the sole proprietor featured did not start her side hustle by "going out to get new customers."
Not new business development, but re-digging into relationships with past customers.
Not sales, but extracting the same problems.
Not pitching, but providing "insights" to existing customers.
I call this the "Internal Sales Repackaging Model". You pick just one common problem from your current customers, create a second product that hits that point, and offer it only to those who have that problem. You don't need ads or new lead funnels.
When you try to start a side hustle, you tend to look outward, thinking, "I have to learn a new skill" or "I have to think of a new product." However, Kim repeatedly says this in the podcast: "Don't add tools, embed a way of thinking." Re-dig into the relationships you already have on hand before going out to buy what you lack—that is the order.
Business figures introduced on the program
If you line up the examples of sole proprietors introduced by the program hosts, their power becomes clear.
Elena—An executive coaching company run by three people in Denver. Annual revenue of $800,000 (approx. 120 million yen). She is a person who has been taking notes on handwritten index cards for four years. When she had AI organize those notes, she saw that three clients from different industries and different positions were talking about the same "root bottleneck" in completely different words. Elena designed a 6-week group program for that pattern and reached out to 12 past clients, 8 of whom signed up. Revenue was $42,000 (approx. 6.3 million yen), and the time Elena spent from design to operation was about 20 hours. That converts to about 310,000 yen per hour.
Marcus—A person working alone as a financial planner in Charlotte. Just by creating a "model" for writing his monthly newsletter with AI, information for clients that could only be sent out once a quarter began reaching top clients every week. New customers increased by 11 in half a year. In the program, it is explicitly stated that no one new was hired during this time.
James—As a result of setting up an inquiry response flow with AI, he handled 42 inquiries in 40 minutes and acquired 11 recurring contracts from them. The annual revenue forecast is +30% year-on-year.
Renata—A sole proprietor who designed an audit log after experiencing an incorrect citation mixed into AI output. The number of customers she can handle doubled in half a year.
Sophia—A person who launched a cosmetics brand in Nashville. To delegate the final check of product copy to her team, she created a system to document the brand's judgment criteria and pass them to AI. Half a year later, her time has shifted from "quality check" to "new line development."
The numbers are flashy when lined up, but what they all have in common is the single point that they did none of the following: "new business development," "ad spending," or "hiring new people."
*The figures for Elena, Marcus, James, Renata, and Sophia are all statements made within the podcast. The program is an educational program for small businesses produced by Blue Mountain Labs, and the individuals may have been anonymized as case studies. I checked the primary source, but no public information that could identify the individual persons was found. However, the direction that "sole proprietors who have incorporated AI as a premise of their business can increase the number of handleable customers by 1.5 to 2 times in half a year" is a range where similar figures can be confirmed in surveys for small and medium-sized enterprises by the US SBA and others.
Why is "internal sales repackaging" effective now?
Why has this model become effective now?
There is only one reason: AI that can understand the meaning of long texts has finally reached a level where it can be used inexpensively.
Until recently, the only way to ask someone to "read all the meeting minutes for 100 past clients and extract the common pain points shared by at least three of them in one line" was to pay a consultant or spend months re-reading them yourself. Now that long-text processing in ChatGPT and Claude works properly, this is a task you can handle yourself for a cost of about 3,000 yen per month.
This was something that "could not be done" until last year.
And there is a reason why this model is particularly effective in Japan.
Many Japanese sole proprietors and side-hustlers earn their living through one-on-one interactions. Coaches, professionals, chiropractors, tutors, e-commerce customer support, client interviews for writers, and client requirement notes for web development—all of these are structured around facing one client at a time and moving on to the next once finished. Essentially the same "unutilized relationship assets" as Elena's handwritten index cards are lying dormant in the hands of Japanese side-hustlers.
Acquiring new customers costs money for advertising and the competition is fierce. However, finding "three people who are stuck on the same thing" from past clients and creating a group product requires neither money nor extra staff.
Past clients who already trust you are the final untapped route for side-hustlers.
5 Phases to Adapt Elena's Approach to a Side Hustle
Now, let's reorder Elena's movements into a sequence that can be adapted for a side hustle. I will include the time required and the tools to use.
Phase 1: Gather interactions with past clients in one place (1-3 hours required)
Take photos of paper notes with your smartphone and upload them to Google Drive, and consolidate digital interactions into a single folder. One-on-one meeting minutes, emails, LINE history, Slack logs—anything is fine. The target is at least 20 past clients, preferably 50 or more.
Many people get stuck here. Once you think, "It's a hassle to look back at everything," you can stop at the gathering stage, as AI will handle Phase 2 and beyond.
Phase 2: Ask the AI about "common bottlenecks" (1 hour required)
You can use ChatGPT, Claude, or Gemini. Use a paid plan (about 3,000 yen per month) that can process long texts at once. Feed in the history with clients 5 to 10 people at a time while repeating the same question.
"Write in one line, using emotional language rather than industry jargon, the root bottleneck this client is facing."
After doing this for all clients, ask it to "Look at everyone and extract the bottlenecks common to three or more clients." This is the moment Elena's index cards are recreated in a digital version.
The "bottlenecks shared by three or more clients" that emerge here will become candidates for the pillars of your second product.
Phase 3: Design a second product that hits that one point (5-8 hours required)
Design a 4-6 week group program that targets only one common bottleneck. Imagine restructuring content that would take 60 minutes one-on-one into six 90-minute sessions for a group of 4-6 people.
Do not create new teaching materials. Simply reorganize the advice you already have in your past interactions into a reusable format.
In Elena's case, she pulled only the cards related to that common theme from four years' worth of index cards to create the framework for a six-session course. Compared to writing it from scratch, the time required is an order of magnitude different.
Phase 4: Reach out only to relevant past clients (takes a few hours)
I don't run ads. I reach out via individual messages only to past clients who fit the "bottleneck" criteria identified in Phase 2.
In Elena's case, 8 out of 12 people participated (a 67% participation rate). You would never get these numbers when prospecting for new clients. The reason it's so high is that there is already a relationship of trust, and you are hitting on a theme that the person is genuinely struggling with.
Phase 5: Feed participant feedback back into Phase 2
New questions and insights that arise during the group sessions are fed back into the same pattern extraction loop. Elena describes this cycle as a "spiral," saying that the view changes with every turn.
The total of around 20 hours is the sum of this entire flow. You can see that compared to launching a new product from scratch, the time required is an order of magnitude different.
The one mistake to avoid
I will share the one mistake you want to avoid.
It is the pattern of handing the entire history of past clients to an AI and asking it to "summarize everything." This will fail 100% of the time. What you get is a generic summary, and the "root cause common to three people" that Elena found will never emerge.
Converting to emotional terms for each client one by one and then lining them up to look at them—if this order is broken, it just becomes a long-form summarization tool. This is likely what Kim was repeating in the podcast when she said, "Don't just add tools, embed a way of thinking."
If you reverse the order, the answers that come out in Phase 2 turn into harmless words like "improving customer satisfaction" or "lack of communication." These are not seeds for a product.
"Go see the same people again before acquiring new ones"
Many of you have likely spent nights melting away three hours thinking up new product ideas with ChatGPT, aiming for 50,000 yen a month in a side hustle. I was the same.
However, what you should be thinking about is not a "new product" or "new customers," but finding just one "common bottleneck" among the people you have already interacted with.
The shortest route to a side hustle is not being discovered by a stranger, but having someone who already trusts you raise their hand one more time. Whether you discard it, leave it alone, or turn it into a second product is up to you to decide.
This was what I felt most strongly after listening to this podcast.
Things you can do today
List 10 to 20 clients you have worked with in the past six months to a year, just by their names
Roughly recall if there are three or more people among them who talked about similar problems
Once you find them, try writing down the problems of those three people in one line, within 30 characters.
If you have made it this far, you are standing right before Elena's Phase 2. With one weekend day, you should be able to advance to Phase 3. You can do this. I will also start by opening up my own past exchanges and working through it with you.
This note is a place where I deliver the latest case studies of overseas micro-businesses, translated into Japanese, using English-language business podcasts as primary sources.
Reference Information
Podcast: Small Business Big AI "AI-First Organizations: The Businesses That Will Dominate the Next Decade" (Aired May 2026) https://podcasters.spotify.com/pod/show/small-business-big-ai/episodes/AI-First-Organizations-The-Businesses-That-Will-Dominate-the-Next-Decade-e3j7uvl
Podcast Program Page: Apple Podcasts https://podcasts.apple.com/us/podcast/small-business-big-ai/id1768659876
* Elena, Marcus, James, Renata, and Sofia are case studies introduced within the program. They are considered to be anonymized real-life clients, and no public information that could identify specific individuals was found.
* The trend that "only about 10% of U.S. small and medium-sized enterprises have successfully integrated AI-related tools into their operations" can also be confirmed in surveys of small businesses by the U.S. Small Business Administration (SBA).
* Exchange rate estimated at 1 dollar = 150 yen.
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