Rafomac News, Tech & Trends That MatterAndy Cloak, a solo founder from London, turned a side project into a $23,000-per-month micro-SaaS business called Data Fetcher. By building on AirTable’s fast-growing platform and addressing real user pain points, Andy found his winning formula.
From Freelance Developer to Micro-SaaS Founder
Andy Cloak’s journey into micro-SaaS success wasn’t a straight path. An engineering graduate who never really loved his degree, Andy taught himself to code and worked as a React freelancer in London, juggling side projects on the side. After launching a TikTok influencer directory scraping tool that earned a few thousand dollars a month and selling it, he took time off to find a more sustainable project — which became Data Fetcher.
Data Fetcher solves a simple, everyday problem: automating the import of external data into AirTable databases. Instead of manually copying data, users connect APIs through Andy’s extension and schedule automatic updates. The tool powers everything from marketing analytics to operational workflows, with use cases evolving even five years in.
Spotting an Opening on AirTable’s Marketplace
Andy’s insight came from spotting a gap in AirTable’s ecosystem, inspired by a similar, successful add-on on Google Sheets called API Connector. AirTable’s marketplace was relatively new but growing fast, presenting a prime opportunity to build an early tool that met a clear user need. By validating the idea on forums and community discussions, Andy confirmed the demand for a flexible API integration tool.
Building on a platform like AirTable meant instant access to qualified users via its marketplace, offering vital distribution without costly marketing. But it also carried platform risk — the tool could become redundant if AirTable built similar native features. Thankfully, Andy positioned Data Fetcher in a niche between AirTable’s existing capabilities, keeping it safe so far.
Andy’s Six-Step Framework to Finding Winning Platform Ideas
Andy boiled down his approach to six steps:
- Identify a growing platform worth building on, using tools like Exploding Topics to spot trends.
- Find real pain points users face on that platform by browsing forums, Reddit, and social media.
- Borrow proven patterns or add-ons from more established platforms and adapt the UX to be native.
- Check technical feasibility: Are there public APIs or extension SDKs?
- Estimate the market size: platform user base, problem prevalence, and price willingness.
- Analyze platform risk: Is the platform likely to build your feature natively? Use roadmaps and community signals for clues.
While this process helps cut through the noise, it’s not foolproof—human judgment plays a big part in sizing up an opportunity and jumping in.
Where to Build Next? Notion, Figma, and Smart AI Use
Andy sees big opportunities around Notion’s still-fresh API for automations and reporting. Figma’s ecosystem also offers room to build tools that export designs into popular web platforms. However, he advises caution about building directly on ChatGPT or Claude, where competition is fierce. Instead, he recommends using AI tools to enhance your own product rather than chasing the crowded chatbot market.
Growing Data Fetcher to $23K/month
The first user came within days of launch, thanks to AirTable’s marketplace exposure. Andy then focused on common use cases and integrations, creating content marketing like blog posts and YouTube videos that targeted popular workflows. This helped grow monthly recurring revenue (MRR) to $1,000 within months and $3,000 after a year.
By simplifying onboarding and building no-code integrations, he reached $10,000 MRR in the first year. Customer conversations and continuous improvement fueled steady growth to $20,000 MRR by year three, eventually settling at $23,000 monthly. The secret sauce? Focusing on specific problems, refining the product, and amplifying it through content.
Tech Stack and Business Economics
Data Fetcher’s front end is built with TypeScript and React using AirTable’s extension SDK, with a backend running Node.js, PostgreSQL, and GraphQL. The web app and marketing site use Next.js and Tailwind for a sleek, responsive experience. Hosting costs hit around $2,500 monthly, with other SaaS tools costing $1,000 and a co-working space at $150 — leaving Andy with an 85% margin, the classic SaaS advantage.
Lessons from the Journey
Andy’s biggest insight is the power of focus. Early on, he spent almost six months jumping between side businesses, losing momentum when growth slowed. Now, he combats distraction with AI-powered business coaching—using Claude to keep him accountable and talk him out of chasing new shiny ideas.
Above all, he emphasizes early and frequent user testing, something he neglected initially. One afternoon spent gathering user feedback uncovered several UX problems, the fixes for which boosted revenue and engagement almost overnight. Talking with your customers isn’t optional — it’s essential.
What Young Andy Would Tell Himself
“Do proper user testing early and often,” Andy reflects. That advice boiled down to realising the value of understanding users beyond assumptions, which can transform your product’s appeal and growth trajectory fast. For anyone building SaaS or any product, that means conversations over code can often unlock the biggest breakthroughs.
