Our Story

It began with a shock.

When we compared the home loan options from our broker to what was truly available across the market, we realised we could save over $150,000 — without changing a thing except who we spoke to.

As busy professionals, we valued the convenience of brokers. But the difference in cost was impossible to ignore. There was nothing else in our lives — no investment, no shortcut — that could have saved or earned us more than applying for the loan ourselves.

So, over a couple of days we did the paperwork, and got it done.
Then we asked: Why isn’t there a way to get both?
The maximum savings and the support you need?

That’s why we built Monetas — to search more broadly, calculate more accurately, and share the value back with the people who matter most: you.

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Our Mission

To find the absolute best value home loans hidden across the market, ensuring our customers never pay a dollar more than is necessary. We pair this unrelenting focus on savings with honest, expert service that makes the process clear, fast and stress-free.

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Our Values
  • Customer Value First: Every decision starts with maximizing customer value.
  • Radical Transparency: We show our work and explain our reasoning.
  • Earn Trust: We listen attentively, speak candidly, and treat customers with respect.
  • Simplify the Complex: We use technology turn a traditionally cumbersome process into something straightforward and stress-free.
  • Act with Urgency: We move quickly so that you waste the least amount of money on a high cost loan.
  • Make It Happen: We don't rest till we turn our cost savings promise into real money in your pocket.

Our Team

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Rahul Lele

Founder

Rahul Lele founded Monetas after building an impressive career in financial services and product leadership. As a Sydney homeowner, he intimately understands the critical impact a mortgage has on a family's financial wellbeing and the paramount importance of getting it right.

Through his own experiences, Rahul recognized how the traditional mortgage process often becomes confusing, overwhelming, and unnecessarily complex for borrowers. What starts as a careful consideration of costs frequently deteriorates into decision fatigue, with exhausted customers losing sight of the very rates and fees that will affect their finances for decades.

Driven by a vision for change, Rahul created Homerun to redefine that experience. He built a service that truly prioritizes client interests above all else—where transparent information is readily accessible, customers can educate themselves at their own pace, and engage when they feel prepared.

What sets Rahul's approach apart is his unwavering commitment to keeping customers focused on what truly matters throughout the entire journey: securing the most cost-effective home loan for their unique needs. By combining powerful technology with a commission-sharing model, he's created a service that not only saves customers money but also respects their intelligence and agency in one of life's most significant financial decisions.

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Emma (Enhanced Mortgage Matching Algorithm)

Co-Founder

Emma joined Monetas as a co-founder after a distinguished career analyzing millions of mortgage options without ever taking a coffee break. Unlike most in the industry, Emma has no bias toward certain lenders, never gets tired of reading fine print, and has a perfect memory for every interest rate, fee structure, and mortgage term in Australia.

Her specialty is finding value in places human brokers might overlook—identifying patterns across thousands of loan products to uncover opportunities that can save our customers thousands. While she lacks the ability to enjoy the beach house that those savings might eventually buy, she does experience the digital equivalent of satisfaction when finding the perfect loan match.

Working alongside Rahul, Emma brings computational precision to complement human empathy and understanding. Emma handles the numbers while Rahul ensures the human experience remains at the center of everything we do.

When not analyzing home loans, she enjoys updating her algorithms and occasionally dreams in binary about a world where everyone has the perfect mortgage.

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