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A serviceability calculator that helps Australian mortgage brokers compare 40-plus lenders in seconds and reached AUD $5M ARR without outside funding.
10,000+ mortgage brokers · 50%+ Australian market share · AUD $30–50/user/month
The niche is tiny, the spreadsheet logic is brutal, and that is exactly why a product that becomes trusted can reach half the market without a large sales or marketing machine.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Quickli is a B2B SaaS product for Australian mortgage brokers. It replaces the manual spreadsheet work required to assess a borrower's serviceability across lenders: a broker enters the financial position once and receives results from more than 40 lenders in seconds. Cofounder Eric Dill experienced the pain as a mortgage broker; Angus Keatinge brought the engineering and product focus. They spent roughly 16 to 18 months building before a paying customer, then invited brokers to attack a beta version. About 400 to 500 brokers joined before launch, and accuracy plus word of mouth carried the product through a tight professional community. After three years, the founders reported AUD $5M ARR, just over 10,000 mortgage brokers, more than 50% market share in Australia, and roughly 40 employees. Brokers pay around AUD $30 to $50 per user each month. The company bootstrapped, stayed profitable, and grew with almost no proactive sales or marketing. Its moat is not a clever landing page; it is the difficult maintenance work required to keep lender rules accurate and trustworthy.
Quickli's first customers came from the profession the founders understood: mortgage brokers who were willing to try a beta and challenge its calculations.
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Data credibility: Founder interview; ARR, customer count, market share, pricing, team size, and growth history are self-reported by the cofounders and unaudited. The product and workflow are described directly in the interview.
Quickli began as a free beta and clearly told users that charging would follow. That made the first dollar a conversion from demonstrated utility rather than a cold sale.
Quickli's flywheel came from a painful problem shared by nearly every broker and a professional community with high trust. A broker who found the calculator accurate could recommend it to colleagues, and those colleagues faced the same lender spreadsheets.
Quickli's hardest quiet period came before the first customer, when the founders spent 16 to 18 months building and testing difficult lender logic. They managed it by keeping income streams on the side and inviting brokers to try to break the beta, which removed pressure to release something unreliable.
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