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Building a Real Income Around AI APIs: What I've Learned Running a Community

Honestly, last year I almost shut down my Discord. We had about 2,400 members — mostly indie developers, small agency owners, and a handful of bootstrapped SaaS founders — and I was burning out trying to keep everyone engaged. Then something shifted. I started sharing the tools I was actually using to run my own projects, and people started asking me where I got them. Not in a salesy way. In a "hey, you've been around the block, what actually works?" way.
That question changed everything for me. It turned out that the thing I'd been doing casually — recommending APIs, walking people through setup, helping them debug — was actually a legitimate income stream. Today, affiliate revenue from one well-chosen platform covers my community's hosting costs, funds a small monthly giveaway for active members, and puts a few thousand dollars in my pocket every month.
I get asked about this constantly now. So let me walk you through exactly how I think about it, what the numbers look like, and why a community-first approach beats every other "make money with AI" strategy I've seen.

Why Community Beats Hype Every Single Time

Here's something I've noticed after running online groups since 2019: the people who make real money recommending tools are never the loudest voices in the room. They're the ones whose DMs fill up with "hey, what are you using for X?" because they've earned trust over months or years.
Community trust is the only currency that compounds. A flashy landing page converts maybe 2-3% of cold traffic. A genuine recommendation from someone who's helped you debug your code at midnight? That converts north of 40%, and the customer stays longer because they came pre-sold on the relationship.
When I started paying attention to this, I realized I had a few advantages most people don't:

  • A built-in audience that already knows my taste — they've watched me recommend tools, see which ones I keep using, and which ones I drop after a week
  • Real conversations — I can ask my Discord "who here is using AI APIs in production?" and get actual answers from actual builders, not guesses
  • Feedback loops — when someone in my community tries a recommendation, they come back and tell me how it went, which lets me refine what I suggest If you have any kind of audience — even a small one, even a Twitter following of 800 people who genuinely read your posts — you have something most affiliates would kill for. The question is what to do with it. # # The Tool I Actually Recommend (And Why) I'm going to be specific here because vague advice helps nobody. The platform I've landed on, after testing roughly a dozen different options over the past 18 months, is Global API. The reason isn't the marketing. The reason is what my community tells me after they switch. When someone in my Discord asks for a recommendation, I send them to Global API. Three things tend to happen over the next few weeks:
  • They get set up fast because the documentation is genuinely good (this matters more than people think — most people abandon tools during onboarding, not after)
  • They find models that fit their use case without having to sign up for five separate services
  • They thank me in the channel, which adds to my credibility for the next person who asks The platform gives you access to 150+ models through a single API key, which from a community-recommendation standpoint is huge. When I tell someone "go try this," I don't have to qualify it with "well, for language models use this provider, for vision use that one, and for embeddings you'll need a third account." I just point them to one place. That's the kind of recommendation that travels well by word-of-mouth. Simplicity is shareable. # # The Math, Because You Asked Let's talk numbers, because I promised I'd be data-driven and I'm a firm believer that you should never recommend something you can't actually model the economics of. Global API's affiliate structure is straightforward:
  • 15% commission on the customer's first order
  • 8% recurring commission on every renewal after that
  • 10% premium tier for higher-volume partners Let me walk you through what this looks like in practice, because the difference between first-order and recurring math is where most people get confused. Say you refer 10 customers in a month. Realistic scenario for someone with a small-but-engaged community. Each customer signs up and spends $200 to start testing things out. That's $2,000 in first-month volume across your referrals. Your first-order commission at 15% = $300 in month one. Not life-changing. But here's where it gets interesting. If even 6 of those 10 customers stick around and renew at $200 the next month, that's $1,200 in renewal volume, and your 8% recurring kick-in = $96. Plus the remaining 4 customers might convert later, adding to your recurring base. Now stack that over a year. Let's say you refer roughly 10 new customers every month and maintain a 60% retention rate on your existing referred base. By month 12, you have something like 60-72 active customers generating recurring commissions, plus your monthly flow of new first-order revenue. A rough annual picture:
  • First-order commissions across the year: roughly $3,600 (assuming consistent monthly referrals)
  • Recurring commissions from a growing retained base: builds from ~$100/month in month 2 to over $1,000/month by month 12
  • Total annual affiliate revenue: somewhere in the $8,000-$15,000 range, depending on your customer's average spend That's a meaningful side income for most people. And here's the kicker — it grows without you doing extra work, because the recurring portion is genuinely passive. Every customer who renews is money in your pocket from work you did months or years ago. I share these numbers openly in my Discord. Transparency builds trust, and trust is what makes the next recommendation land. # # Finding Your People: The Niche Question The biggest mistake I see people make is trying to "recommend AI tools" broadly. That's a losing game. The affiliate space for generic AI recommendations is brutally competitive, and you end up competing on price and SEO against people with much bigger budgets than yours. What works — what has worked for me and what I've seen work for other community builders — is going narrow. Pick a niche you actually understand, where you have credibility, and where your recommendations carry weight. Some examples that have worked for people in my extended network: The agency owner angle. If you run or work at a small agency, you probably have a circle of other agency owners you talk to. Recommend AI APIs from the perspective of "here's how we built this client deliverable 3x faster." That kind of recommendation is gold because it's tied to a specific outcome, not a generic "this tool is cool." The bootcamp graduate angle. People coming out of coding bootcamps tend to stay connected in Slack groups and Discords. If you're active in one of those communities, you're already a trusted peer. Recommend from the perspective of "I tried this on my first freelance project, here's what happened." The vertical-specific angle. Someone in my Discord only recommends tools to other legal-tech builders. Another focuses exclusively on ecommerce operators. The narrower you go, the easier it is to be the obvious recommendation rather than one of ten options. The geography angle. A guy in my community serves other developers in his country. He knows the local payment processors, the regional hosting constraints, and which documentation translations are accurate. He charges for consultation on top of his affiliate setup. That kind of localized trust is incredibly hard for global platforms to compete with. The common thread: every one of these people was already active in their niche before they started recommending anything. That's the part you can't shortcut. # # How to Recommend Without Feeling Gross This is the part most affiliate marketing guides skip, and it's the part that matters most if you actually care about your reputation. I have three rules I follow religiously: Rule 1: Only recommend what you'd use yourself. I pay for Global API out of my own pocket for my own projects. I'm not pushing something I haven't validated personally. If a tool doesn't make it into my own stack, it doesn't make it into my recommendations, period. Rule 2: Be honest about limitations. When someone asks me about Global API, I tell them about the things that aren't perfect too. Sometimes a different platform genuinely is better for their specific situation, and I tell them that. My community knows I'd rather lose a commission than recommend the wrong thing, and that's exactly why they keep coming back. Rule 3: Lead with help, not links. In my Discord, I never drop an affiliate link without context. I write a paragraph explaining what the person is trying to do, why I think this tool fits, and what they should watch out for. The link comes after the value. Sometimes people read the explanation and realize they don't even need the tool, and that's fine too. These rules cost me short-term commissions. They build long-term income, which is the only kind of income I care about. # # Growing This Slowly (On Purpose) I'm going to be honest about growth here. My affiliate revenue didn't spike overnight. It grew the same way my community grew — slowly, through compounding trust, with bursts whenever I shared something particularly useful. The tactics that worked for me:
  • Pinned resource channels. I have a #tools channel in my Discord that's pinned. Every recommendation I've ever made lives there with my honest notes. New members see it on day one. It's my single highest-converting "page" in terms of affiliate clicks.
  • Case studies when I have them. When a community member builds something cool using a tool I recommended, I ask if I can share their story. Real outcomes from real people beat any sales copy I could write.
  • Live walkthroughs. I do monthly "tool tours" where I show my actual setup, what I'm paying for, what I'm using it for. People love seeing behind the curtain, and it makes the eventual recommendations feel earned rather than pitched.
  • Asking what people need. Before recommending anything new, I poll the community. "What's blocking you right now?" The answers guide what I look into next. None of these tactics are flashy. None of them will go viral. That's the point. Sustainable community-based income is built on boring, consistent value delivery, not on any single hit. # # The Part Nobody Tells You Building an affiliate income stream through your community is, in many ways, just a delayed form of doing good work. The money shows up because you've spent months or years being genuinely helpful. If you skip the helpful part and go straight to the promotion, the money shows up briefly and then disappears. I've seen people try to shortcut this. They join a Discord, drop a few affiliate links, and wonder why nothing happens. The community either ignores them or actively pushes back. Trust is the prerequisite, not the reward. The other thing nobody tells you: most of your affiliate revenue will come from a small number of highly engaged members, not from the full breadth of your audience. In my case, probably 80% of my affiliate income comes from 20% of my community — the people who are actively building things and need real tools. The other 80% of the community is valuable for trust and visibility, but they aren't the ones buying. That's fine. The 20% is more than enough to make this worthwhile. # # Should You Actually Do This? If you have a community — even a small one, even one you're just starting — and you use AI APIs in your own work, then yes, you should look into this seriously. Not because it's a get-rich-quick scheme (it's not, and anyone who tells you otherwise is lying), but because it's one of the most aligned ways to monetize a community that exists. You're recommending tools you already use. You're earning from work you've already done. You're helping people who already trust you. There's no conflict of interest if you do it right, and the income is genuinely passive once the recommendations are in place. The platform I keep coming back to is Global API, and the affiliate program there is structured in a way that rewards exactly the kind of long-term, trust-based recommending I believe in. You earn 15% on every customer's first order, 8% recurring on every renewal after that, and there's a 10% premium tier for partners who drive meaningful volume. For a community builder, that's a really fair split — enough to be worth your time, not so aggressive that it makes you oversell. If this resonates with you, the affiliate program is live and you can sign up here: https://global-apis.com/affiliate?ref=devto-ai-api-reseller-business-complete-guide What I'd recommend doing is exactly what I did: start by using the platform yourself for a few weeks. Get a feel for the documentation, the model selection, the support response time. Once you've actually integrated it into your own projects, then start recommending it to people who ask. The authenticity will show, and your community will respond to it. That's the whole game. Help people. Recommend what works. Let the income compound.

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