Today, let’s not talk about any new models, but about something practical: how I earn some referral commissions from Ace Data Cloud while writing software and publishing articles on my public account.
Let me make this clear first: the amounts and records below are all from my own real experiences. I did not rely on spamming everywhere, nor did I do any exaggerated marketing. I mainly build software and write articles, sharing services I have used with people who need them, and all the records are real.
Of course, referrals are not completely without a financial relationship. When someone purchases through my referral link, I receive the corresponding commission. As long as the other party gets real services, this is a win-win-win situation: the referred person gets information and services, the platform gets customers, and I get commissions.
The most important point is that commissions are not one-time; as long as customers make repeat purchases, commissions keep coming in.
A few days ago, I just withdrew commissions to my balance. Since I have a lot of music that needs to be generated, I checked the backend today and found another payment.
The amount is not much, but this feeling is quite nice. The software I made and the articles I wrote before can actually still bring in a bit of income after some time.
Below is my current referral sales amount. Note that what is shown here is sales revenue, not the money I receive. Based on the 8% commission rate I currently get, my accumulated commissions are nearly 800 yuan, which can already cover my daily expenses on the platform, with even some pocket money left over.
¶ Below, I will introduce how I earned these commissions
¶ While making software, I also earned some commissions along the way
Speaking of where these commissions came from, I have to start with making software myself.
I mainly do software development and also write for public accounts. At first, I made image generation software, and later I made Suno Music music generation software. For these functions to run, they all need model services behind them, and I chose Ace Data Cloud.
Before choosing it, I also compared several providers. After all, software is not finished after making a demo; it still needs to be used continuously afterward. Whether the price is expensive and whether the calls are stable will both affect the actual experience.
Based on my own experience, Ace Data Cloud’s pricing is relatively acceptable to me, and I am also quite satisfied with its stability. Especially for Suno, the functions I use are relatively close to the official ones. Looking at the generation results and call prices together, it is a relatively suitable choice.
This is only how I felt while making this software. Different people use different models and have different call volumes, so which provider is ultimately cost-effective still requires trying it yourself.
The image above shows songs generated with my own music software, used for testing and publishing some music works and MVs.
Software needs to integrate models, so when configuring models, they need a specified model service provider, and Ace Data Cloud’s stability and cost-effectiveness have won my recognition.
Therefore, if you are also making AI products, especially software such as image generation and music generation, you can first try it with your own needs. If you find it genuinely suitable after using it, then recommend it to clients or friends.
That way, the conversation also comes naturally. When others ask which provider you use, how the pricing is, or whether you have encountered any problems, you can talk about real experience, instead of being left with only a promotional link in the end.
¶ Writing for public accounts also brought in Code Plan commissions
Besides making software, another source is public accounts.
When I first started an AI-related public account, I mainly wanted to find some users for my own software. At first, I wrote software introductions, and later I gradually began sharing some AI tools and usage experiences. Referral commissions for services came bit by bit this way.
However, the “commissions” offered by different platforms really are not the same thing.
Among the referral campaigns I have participated in, Ace Data Cloud is the only platform where commissions can be withdrawn. What other platforms gave me was more often Token credits or on-platform balances, which could only be used on the platform. Compared according to the rules at the time I participated, its commission rate was also the highest.
Of course, this is only the situation I have encountered myself, and does not mean all platforms are like this. If you really want to participate, you still need to check the campaign rules at the time, especially whether the rewards can be withdrawn.
Take this article as an example: it only had a little over one hundred reads, so the traffic was really not high.
But it brought in several continuously subscribed users, basically bringing me some commissions every month.
This made me feel that, of course, readership is important, but there is no need to focus only on readership. Among more than one hundred people, if you can meet one person who happens to need this service, then the article was not written in vain.
There was another time, on another platform, and the result also surprised me quite a bit.
This public account article brought me 40 subscriptions, but it also brought in 270 yuan in commissions. This came from a campaign for a service on another platform.
However, I need to make this clear: this 270 yuan cannot be withdrawn and can only be used on the platform. It is actually not as appealing as being able to withdraw it.
Even so, I am quite satisfied. After all, when doing development and testing models normally, credits are consumed anyway, and saving a little money is still something.
So, sharing referral links does not necessarily require having a huge amount of traffic.
For me, the most convenient way is to keep doing what I was already doing: continue developing software, continue writing articles, talk about actual experiences when using suitable services, and share the link when someone needs it.
This money is still far from being any significant income, but I am already quite satisfied using it as some pocket money, or to offset part of the Token costs.
Not every article can bring commissions, and there is certainly no guarantee that if others follow the same approach, they will definitely get the same results. It is just that these experiences have made me feel that things written with care, even if not many people read them, may really help someone and, along the way, bring a little return to myself.
If you also enjoy tinkering with AI tools and building small products of your own, you can follow our blog. We usually share some practical content, including creative ideas, ways to use tools, and money-saving methods that we have tried ourselves.
If it can help you avoid one pitfall or spend a little less money, that is good enough.
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