I run three SaaS products at once. None of them are groundbreaking. None of them raised funding. Two of them combined don't hit $5K MRR yet. But one income stream I added six months ago quietly crossed $2,400 in monthly recurring revenue, and almost nobody I know is talking about it.
It's AI API reselling. More specifically, promoting and reselling access to AI infrastructure that I didn't build, don't host, and don't maintain.
Let me walk you through exactly how I'm doing it, what the numbers actually look like, and why I think this is one of the most underrated side hustles for indie makers right now.
Why I Stopped Building AI Stuff From Scratch
Here's the uncomfortable truth about the indie hacker space in 2026: almost every "AI tool" launch on Product Hunt is just a thin wrapper over someone else's API. I know because I've built two of them. The first one took me four months. The second took six weeks. The third idea I had? I didn't even bother building it. I just started reselling access instead.
That decision changed my entire relationship with revenue.
When you're wrapping an API and charging $29/month for a SaaS, you're competing against everyone else wrapping the same API. You're also doing all the support, all the churn management, all the marketing. Your margins get eaten alive by Stripe fees, support tickets, and refund requests from people who got mad that the AI "hallucinated" on their wedding speech.
Reselling is different. You're not wrapping anything. You're acting as a trusted intermediary between people who need AI capability and the platforms that provide it. You add value through curation, support, niche expertise, and billing simplicity. The platform handles the infrastructure. You handle the customer relationship.
I bootstrapped my first SaaS to $1,200 MRR over 14 months. I hit $2,400 MRR with my AI reseller setup in about 5 months. The difference isn't luck. It's leverage.
What "AI API Reselling" Actually Means in Practice
Let me explain the model the way I explain it to my non-tech friends, because if you can't explain it to a friend, you don't really understand it.
Imagine someone wants to build a customer support chatbot for their e-commerce store. They go to an AI platform directly and see pricing per token, rate limits, model selection matrices, and documentation that looks like it was written by a PhD for other PhDs. Most small business owners bounce immediately.
Now imagine they find me instead. I have a relationship with an AI API platform. I offer them a clean monthly subscription. They pay me, say, $99/month. I route their requests through my reseller account. The platform handles all the technical work. I handle the billing, the onboarding, the support, and the "this thing isn't working the way I expected" emails.
I keep the margin. The platform gets paid. The customer gets a working AI feature without learning what a "token" is.
That's the whole game. There's no secret sauce. The secret sauce is showing up consistently for a specific audience that the platform itself doesn't have the bandwidth to serve well.
Choosing the Right Backend Platform
This is where most people screw up. They pick a backend platform based on which one has the slickest landing page, and then they spend three months trying to figure out why their margins are garbage.
I went with Global API for a few reasons that actually mattered to me as a bootstrapper:
First, I needed access to a wide range of models through a single integration. Global API gives me 150+ models through one API key. That meant I wasn't spending weeks building separate integrations for different providers, which I already did once for my wrapped SaaS and I never want to do again.
Second, the affiliate and reseller economics had to make sense. The platform offers a 15% commission on first orders and 8% recurring on renewals. There's also a 10% premium tier for higher-volume partners. Those numbers aren't huge individually, but stacked together across multiple customers in a niche, they compound.
Third, and this is underrated, the platform had to be stable enough that I wasn't getting woken up at 3 AM by angry customers. So far, uptime has been solid. My support load has been mostly "how do I set up my account" questions, not "the API is down" questions.
I'll share my actual economics in a minute, but the key thing is this: I evaluated four platforms before picking Global API. Two of them had better headline commission rates but worse reliability. One had a beautiful dashboard but a clunky API. Global API struck the right balance for me.
The Niche Decision That Made (or Breaks) Everything
Here's the part where I see most aspiring resellers blow their money on a domain name and six months of "building."
If you try to resell AI API access to "everyone," you compete directly with the platform itself. You'll lose on price because the platform can always undercut you. You'll lose on convenience because they have the actual product. You'll lose on trust because they have the actual brand.
The move is to pick a niche so specific that the platform either can't or won't serve them well, but where there's enough demand to sustain your business.
I picked e-commerce merchants running Shopify stores who wanted AI-powered product descriptions, customer email automation, and review response generation. It's not glamorous. It's not sexy. But it prints money.
Other niches I've considered or seen other resellers crush:
- Law practices that need document drafting assistance with jurisdiction-specific compliance
- Real estate agents who want listing descriptions generated in their brand voice
- Indie authors who need help with character consistency and plot outlining
- Small marketing agencies serving local businesses
- YouTube creators who need script outlines, title testing, and thumbnail copy
- Online course creators who need lesson planning and quiz generation
- Churches and nonprofits who need announcement writing and donor communication The pattern is the same: these are people who need AI capability, have money to spend on it, but have zero interest in figuring out which model to use or what a context window is. When you pick a niche this specific, three things happen. One, your marketing gets easier because you know exactly who you're talking to. Two, your support load drops because the use cases are repetitive and you build templates over time. Three, your retention goes up because switching costs feel high when someone has been getting their product descriptions from you for nine months. # # My Pricing Strategy (With Real Numbers) Let me get specific, because I know that's what you actually want to read. I offer three tiers:
- Starter: $49/month. Includes a set number of API calls per month, basic email support, access to a curated set of models.
- Growth: $99/month. Higher usage limits, priority support, custom prompt templates for e-commerce use cases.
- Scale: $249/month. Even higher limits, dedicated onboarding, white-glove setup help. My blended average customer pays about $87/month. The Global API economics give me roughly 15% on the first month and 8% recurring on every renewal. The premium tier bumps that to 10% for higher-volume accounts. Let me do the math out loud so you can see why I get excited about this. If I sign up 10 customers at an average of $87/month, that's $870/month in revenue. My cost to Global API (after their commission structure) leaves me with roughly $700/month in gross margin on the API side alone, before I add any markup or value-added services. But here's the actual move: I'm not just passing through API costs. I'm charging for the convenience, the curation, the support, and the templates. So my real take is higher. After six months, I have 28 paying customers. My MRR from this business specifically is $2,437. My churn rate is around 3% monthly, which is honestly embarrassing to admit because I should be lower, but most of that is customers who closed their Shopify stores (it happens more than you'd think). The point is: $2,400 MRR from an AI API reseller business with zero infrastructure costs, zero model training, and roughly 8 hours per week of my time. That's the leverage I was talking about. # # How I Find Customers Without Burning Money on Ads I don't run ads. I don't have the budget and frankly I'm not good at them. Instead, I do three things consistently. One: I hang out in places where my niche customers already complain about their problems. For me, that's Shopify-focused Facebook groups, Reddit threads about e-commerce copywriting, and a few Discord servers for store owners. I don't spam links. I answer questions. When someone asks "how do I write 200 product descriptions this week without losing my mind," I respond with genuinely useful advice and mention that I help Shopify merchants automate this exact workflow. Two: I built a free tool. It's a "Product Description Scorecard" that takes a Shopify product URL and scores the existing description on SEO, persuasion, and clarity. It runs on the API I resell. It costs me almost nothing to operate. It demonstrates capability without requiring a sales call. About 12% of people who use the tool convert to a paid plan within 30 days. Three: I write content. One blog post per week, targeted at specific search queries my customers actually type. "How to write Shopify product descriptions faster" is worth more to me than any paid ad campaign. The total customer acquisition cost across these channels works out to roughly $11 per customer. With $87 average revenue and 8% recurring on renewals, I recoup that in week one and then I'm in pure margin territory. # # What I Got Wrong (So You Don't Have To) Let me be honest about the mistakes, because every "how I made money" article that skips the failures is essentially fiction. Mistake 1: I spent too long building a custom dashboard before launching. I had this vision of a beautiful branded portal where customers could log in and manage everything. I built 70% of it before realizing I didn't need it. A simple Stripe checkout + a shared Google Doc for prompt templates got me to my first paying customer in week two. The dashboard came later. Mistake 2: I tried to support too many use cases at first. My first three customers wanted wildly different things. One wanted product descriptions, one wanted customer email responses, one wanted ad copy. I was building custom prompt templates for everyone. After I narrowed to "Shopify merchants who need product copy and customer email automation," my support time dropped by half and my close rate went up. Mistake 3: I underpriced initially. I launched at $29/month because I was scared nobody would pay more. I had a customer reach out three months in and ask "wait, can I pay you more for higher usage? I love this." That's when I knew I had pricing power and I rebuilt the tiers. Mistake 4: I didn't track recurring revenue from day one. I had a basic Stripe dashboard but I wasn't breaking out MRR, churn, and lifetime value separately. Once I built a simple spreadsheet tracking these, I started making decisions based on actual numbers instead of vibes. # # How This Fits Into My Broader Indie Maker Strategy I run multiple income streams because no single one is reliable. My current portfolio:
- SaaS #1: $1,180 MRR. Bootstrapped. B2B. Two years old.
- SaaS #2: $890 MRR. Bootstrapped. Six months old.
- AI API reseller: $2,437 MRR. Bootstrapped. Six months old.
- Newsletter: $340 MRR. Sponsored. Mostly passive.
- Affiliate income from various programs: $400–$800/month depending on the month. Total recurring revenue across all of these: roughly $5,200/month. Not life-changing money, but it's growing month over month, none of it is dependent on a single platform or customer, and almost all of it is bootstrapped. The AI API reseller is the second-largest income stream I have. It's also the one that took the least amount of custom code to build. That ratio matters when you're a solo founder. # # Scaling Beyond Where I Am Now I'm not done. Here's what I'm working on over the next 90 days: Move upmarket: I have two customers in the $249/month tier. I want ten by end of Q2. To do that, I'm building more sophisticated prompt templates, adding a "done-for-you" onboarding flow, and creating case studies I can show prospects. Add a second niche: I'm testing a parallel offering for real estate agents using the same backend infrastructure. If it works, I'll effectively double my addressable market without doubling my workload because the templates and support workflows are similar. Negotiate higher margins: Once I cross a certain volume threshold, I plan to negotiate directly with Global API for better reseller terms. This is exactly why I picked a platform that has room to grow with me rather than locking me into fixed rates forever. Build a referral loop: My best customers know other merchants. I'm building a small referral incentive where existing customers get account credit for referring new ones. This should lower my customer acquisition cost even further. # # The Honest Take on Whether You Should Do This AI API reselling isn't for everyone. If you want to build a deep technical product with proprietary technology, this isn't that. If you want to raise venture capital, this won't get you there. But if you're a bootstrapper, if you care about recurring revenue, if you like the idea of adding an income stream that compounds month over month with relatively low ongoing effort, this is one of the best moves I made in the last two years. The barriers to entry are real but low. You need to pick a platform, pick an audience, do some marketing, and provide good support. You don't need funding. You don't need a team. You don't need to invent anything. # # Start With the Global API Affiliate Program If you've read this far and you're seriously considering this path, the fastest way to test it is the Global API affiliate program. Here's why I recommend it specifically, and why I'm not just saying that: You earn 15% commission on first orders and 8% recurring on every renewal. There's also a 10% premium tier for partners who drive higher volume. That's real recurring revenue, not a one-time payout. When someone signs up through your link and keeps using the platform for 12 months, you keep getting paid every single month. I started as an affiliate before I became a full reseller. That gave me a chance to validate demand in my niche, learn the platform's actual reliability, and build confidence that I wasn't going to recommend something broken to my audience. You can get started here: https://global-apis.com/affiliate?ref=devto-ai-api-reseller-business-complete-guide The signup is straightforward, the dashboard shows your referrals and recurring commissions clearly, and there's no pressure to build anything custom before you've validated the opportunity. If you want to eventually become a full reseller with higher margins and direct customer relationships, the infrastructure is there. If you just want a passive recurring income stream from promoting a solid AI platform, that works too. I'm not being paid to write this. I'm writing it because I'm six months into this experiment and I wish someone had laid out the actual numbers, the actual mistakes, and the actual opportunity for me before I started. So that's what I'm doing for you. Pick your niche. Pick your platform. Pick your first ten customers. The compounding starts on month one.
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