Old Ye AI Transfer Station has been running for 6 days.

Today I checked the backend—the total number of registered users has already reached 5,800.
In the past few days, we’ve been adding roughly 1,000 new users per day on average.
Honestly, this pace is a bit beyond my expectations.
But even more unexpected is that I actually managed to keep it all going.
If we also count the first 10 days of internal testing, in these half a month, there basically hasn’t been a single day of normal sleep.
During the day, I handle registrations, subscriptions, plus-signing, and keep the plus pool stable;
I check feedback in the groups,补 documentation, write scripts, and改 features;
And the times I can truly sit down and write code are basically after 1:00 a.m.
Many days, I don’t shut my computer down until 3 or 4 a.m.
The biggest feeling these days is:
After the product goes live, the real pressure isn’t that traffic comes in—it’s whether you can handle the traffic once it arrives.
Right now, the Token throughput we handle per day is basically in the “two to three billion” range.
It only looks like an AI transfer station.
But behind the scenes, it’s really a whole system running together—number pools, scheduling, monitoring, risk control, payments, customer service, documentation, and client adaptation.
Being cheap isn’t hard; the hard part is being stable while still being cheap.
Being able to run isn’t hard; the hard part is running when thousands of people are using it at the same time without crashing.
Since going live, I’ve created a total of 10 groups.
From the very first day, the questions in the groups were basically answered by me.
A lot of the configuration documentation was built while I was answering users.
Many one-click scripts were also shaped through users repeatedly asking, me repeatedly adjusting, and then finally getting it done little by little.
Now, for almost every mainstream client, I’ve written a dedicated one-click configuration script myself.
The results are very clear.
At the beginning, the same question might need to be answered 100 to 200 times in a single day.
Now, for similar questions, the number should have dropped by more than 80%.
So I’m increasingly convinced that:
A truly great product isn’t about making users smarter—it’s about hiding complexity behind the scenes as much as possible.
And there are also many users asking:
Why does it feel like Old Ye’s transfer station is pretty fast?
Let me share a detail that many people don’t know.
Starting from the first day we launched, our default priority for the API path that users go through is Alibaba Cloud CDN—not Cloudflare.
Cloudflare’s cost is basically negligible.
But on Alibaba Cloud, every day I really have to pay for several hundred gigabytes of traffic.
That’s a hidden cost.
If I don’t mention it, many people probably won’t even feel it.
But I believe that the speed users experience must be someone bearing the cost behind it.
The experience won’t get better out of thin air—many costs just never show up in the users’ eyes.
These 6 days have really been exhausting.
But then seeing people in the group say:
“Finally got it set up.”
“The speed really is good.”
“Even beginners can use it.”
“Old Ye’s station is really stable.”
I felt like I could keep pushing a bit longer.
I know a lot of people started using it at first,
but I hope that in the future, everyone stays not just because they trust me.
Instead, it’s because this thing itself is truly stable, truly cheap, genuinely easy to use, and there’s someone taking responsibility.
Trust can bring the first batch of users.
But in the long run, what keeps people around is definitely the product itself.
It’s only been 6 days since launch—this is just the beginning.
Old Ye will keep turning in homework.
And I also hope that in the future, when people mention ,
they won’t just say, “This was made by Old Ye,”
but will say, “This thing is really reliable.”