Find your next property investment.
Transparent evidence. Conservative assumptions. Built for South African investors.
Browse South African buy-to-let listings filtered by location, property type and yield potential.
Each listing shows the rental comps and market data that underpin the yield estimate — so you know what the numbers are built on.
Adjust purchase price, deposit, interest rate and expected rent to model your own scenario and see how returns change.
Confidence ratings and data-freshness indicators tell you where the evidence is strong and where more verification is needed.
Built on South African property evidence
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YieldDNA estimates rental income using comparable rental listings, property characteristics and local market evidence. Each estimate includes an evidence level so you can understand how much supporting data is available.
YieldDNA provides conservative investment estimates based on the available market evidence. The platform is designed to support decision-making rather than predict future performance, and each opportunity includes confidence indicators so you can judge the strength of the evidence.
Yes. You can adjust purchase price, rental income, deposit, interest rate and other assumptions to see how they affect cash flow, yield and investment returns.
Property portals help you find listings. YieldDNA helps you evaluate them. It combines rental evidence, comparable sales, financial modelling and investment analysis to identify opportunities worth investigating.
No. YieldDNA provides research and analysis to support investment decisions. Property performance depends on market conditions, financing, operating costs and other factors beyond the platform's control.
Sheriff auction analysis is designed to help identify potentially attractive distressed opportunities. Always perform your own legal, financial and physical due diligence before bidding, as auction purchases involve additional risks.
Ranked investment opportunities based on yield, rent evidence and risk.
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How YieldDNA Works
YieldDNA underwrites SA residential listings against rental evidence and operating costs, then surfaces only the deals worth investigating. The focus is on underwriting deals — not showcasing properties.
Investment Philosophy
Strong property investing is driven by disciplined underwriting, conservative assumptions, and pricing discipline — not speculation.
Sustainable income
Deals are evaluated on what they produce today — not projected rent growth or capital appreciation.
Conservative assumptions
Costs, vacancies, and rental estimates are deliberately conservative. We prefer exclusion over optimism.
Margin of safety
The engine is biased toward rejection. Most deals are filtered out. Only high-conviction candidates surface.
Pipeline Architecture
5-stage engine
Continuous analysis of residential listings across selected investment nodes — apartments, sectional title, high-liquidity urban markets with repeatable buy-to-let economics.
Property type, pricing range, location quality, and rental suitability filters remove the bulk of listings before deeper underwriting begins. The goal is focus, not volume.
Rental evidence is aggregated and normalised using comparables, unit characteristics, size adjustments, and rental evidence quality weighting. Optimistic asking rents are discarded in favour of defensible long-term baselines.
Cap rate, breakeven pricing, and 10Y return are computed under conservative assumptions — levies, rates, vacancy, and maintenance included. The objective is a realistic, repeatable outcome, not the highest theoretical return.
Deals are ranked by underwritten yield, pricing attractiveness, rental evidence confidence, and evidence quality. Higher-ranked deals combine stronger cashflow, better pricing relative to income, and more defensible economics.
Financial Model
The model reduces each deal to its essentials. Underwritten Net Yield reflects net operating income after vacancy, maintenance, levies, and rates. Equity build reflects principal repaid through standard bond amortisation. No assumptions are made about rent growth or future price appreciation.
Understanding the Metrics
Annual rent divided by asking price, before costs.
Net operating income divided by asking price, after estimated levies, rates and operating costs, before financing.
Estimated long-term return including underwritten income yield and equity build-up assumptions (incl. financing).
YieldDNA’s 0–100 investment attractiveness score, based on underwritten returns, price gap, rental evidence and risk controls.
How strong the rental evidence is behind the rent estimate.
The price at which the deal meets YieldDNA’s underwriting thresholds. Helps identify overpriced listings and negotiation opportunities.
Verdict Framework
Why trust these numbers?
Every rent estimate is built from comparable rental listings in the same suburb and property category — not the landlord's asking rent, not an agent's projection, not a national average. Here's how:
Active rental listings in the same suburb and property type (apartment, sectional title, house) are gathered. Outliers are removed.
Comps are filtered to match the target unit's bedroom count and size band. A 1-bed apartment in Rosebank isn't benchmarked against a 3-bed house.
The estimate uses P30–P40 of the comparable range — not the median, not the mean. This deliberately anchors the estimate toward the lower end of achievable rents.
If fewer than 6 comps are available, or the size match is imprecise, or the distribution is wide, rental evidence confidence is marked Low or Medium. A deal can only achieve High rental evidence confidence with strong, consistent evidence.
If rental evidence doesn't meet the publication threshold, the deal is withheld or clearly flagged. We don't publish uncertain rent estimates as if they were reliable.
Rental evidence confidence is suburb-specific. A dense rental market like Sea Point will have 20+ comps. A less liquid suburb may have 3. That difference is reflected in the rental evidence label and in the score — a deal with weak rental evidence scores lower, regardless of the headline yield.
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Full investment memos, rental evidence, operating cost breakdowns, sheriff auction intelligence, and saved workflow.
Discipline over volume. Transparency over complexity. Downside protection over optimism.
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| Opportunity | Asking | Gross Yield | Net Yield | |||
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| Auction opportunity | Auction date | Reserve | Est. value | Capital | Readiness | Save | ||
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