South African property intelligence

Find Property Deals That Cashflow

Underwritten rental yields. Investor-grade deal memos. Sheriff auctions and buy-to-let opportunities.

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18,000+listings analysed
500+opportunities ranked
40+markets covered

How YieldDNA Works

  1. 1. Source

    We scan buy-to-let listings and sheriff auction opportunities.

  2. 2. Analyse

    We analyse rent comps, sales data and market signals.

  3. 3. Underwrite

    Deal-type models estimate yield, risk and upside.

  4. 4. Rank

    Opportunities are ranked by potential, risk and investor fit.

Sample deal memo

One memo. The whole deal.

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Promising

Midrand apartment opportunity

View Example Buy-to-Let Memo
Estimated RentR8,300/mo
Underwritten Net Yield7.8%
Market ValueUnderwritten estimate
Price GapBelow threshold
Key RisksVerify levies and condition
Investment VerdictWorth reviewing
Supporting EvidenceComparable rentals, pricing benchmarks and underwriting assumptions.

Listed deals show asking price, price gap, rental confidence and negotiation range. Sheriff auctions show auction date, reserve price, max bid, occupancy risk and execution checklist.

Opportunity Categories

⌂Buy-to-Let— dealsLong-term rental income ⚑Sheriff Auctions— dealsHigh-discount opportunities ↗High Yield— dealsTop-yielding properties ▦Pro WorkflowComing soonSaved lists, alerts and exports

Latest Opportunities

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PropertyTypeLocationNet YieldConfidenceVerdict

Pricing

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◇Data You Can Trust

Real data. Daily updates. No guesswork.

▣Built for Investors

Deal memos. Risk checks. Cashflow first.

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YieldDNA South African property investing, underwritten properly.

YieldDNA is a property intelligence tool, not a licensed financial advisor. All underwriting outputs are for screening purposes only. Final investment decisions require independent legal, financial, and on-the-ground due diligence. © 2026 YieldDNA.

Buy-to-Let Opportunities

Listed residential properties underwritten for rental income, yield and pricing discipline.

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Opportunity Price Price Gap Status
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Sheriff Auction Intelligence

Sheriff Auction Opportunities

Court-driven sales analysed for max bid discipline, discount to value and execution risk.

How YieldDNA Works

Investor-grade property intelligence for the South African market.

YieldDNA continuously analyses residential listings, rental market evidence, operating costs, and pricing dynamics to surface cashflow-focused opportunities with defensible economics. The focus is on underwriting deals — not showcasing properties.

Investment Philosophy

Built around one principle.

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

From listing universe to ranked shortlist.

5-stage engine

  1. Market Discovery

    Continuous analysis of residential listings across selected investment nodes — apartments, sectional title, high-liquidity urban markets with repeatable buy-to-let economics.

  2. Deal Filtering

    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.

  3. Rental Benchmarking

    Rental evidence is aggregated and normalised using comparables, unit characteristics, size adjustments, and confidence weighting. Optimistic asking rents are discarded in favour of defensible long-term baselines.

  4. Underwriting & Risk Adjustment

    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.

  5. Ranking & Opportunity Scoring

    Deals are ranked by underwritten yield, pricing attractiveness, rental confidence, and evidence quality. Higher-ranked deals combine stronger cashflow, better pricing relative to income, and more defensible economics.

Financial Model

Conservative assumptions, applied consistently.

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.

Formula 10Y Return = Underwritten Net Yield + Equity Build
Cap rate floor 6.5%
10Y return target 12%
Default LTV 80%
Vacancy assumption 8.33%

Understanding the Metrics

What each number means.

Gross Yield

Annual rent divided by asking price, before costs.

Underwritten Net Yield

Net operating income divided by asking price, after estimated levies, rates and operating costs, before financing.

10Y Return

Estimated long-term return including underwritten income yield and equity build-up assumptions (incl. financing).

Opportunity Score

YieldDNA’s 0–100 investment attractiveness score, based on underwritten returns, price gap, rental evidence and risk controls.

Rental Confidence

How strong the rental evidence is behind the rent estimate.

Breakeven Price

The price at which the deal meets YieldDNA’s underwriting thresholds. Helps identify overpriced listings and negotiation opportunities.

Verdict Framework

How deals are classified.

Strong High-priority deal. Investigate now because the economics and evidence are strong enough to deserve attention.
Promising Worth reviewing. Attractive signals are present, but assumptions, evidence, or price still need verification.
Monitor Economics may work later but not yet. Track for price reductions or status changes.
Pass Fails one or more constraints. No yield, cost, or price scenario rescues the deal.

Why trust these numbers?

What's behind the rent estimate.

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:

1
Rental comps are collected

Active rental listings in the same suburb and property type (apartment, sectional title, house) are gathered. Outliers are removed.

2
Size and type adjustments

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.

3
Conservative percentile is applied

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.

4
Confidence is scored

If fewer than 6 comps are available, or the size match is imprecise, or the distribution is wide, confidence is marked Low or Medium. A deal can only achieve High confidence with strong, consistent evidence.

5
Weak evidence suppresses the deal

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.

Why estimates differ between deals

Rental 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 confidence label and in the score — a deal with weak rental evidence scores lower, regardless of the headline yield.

Access levels

How to get more from YieldDNA.

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Browse deals free

Top opportunity preview with verdict, underwritten yield, price, estimated rent, and a short thesis. No login required.

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The top-ranked deals delivered to your inbox every Monday. Free.

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Save deals + set alerts

Bookmark deals, receive alerts for target suburbs. Free account required.

Investor Coming soon
Full underwriting + auction intelligence

Full investment memos, rental evidence, alerts, exports, auction intelligence, and saved workflow.

Discipline over volume. Transparency over complexity. Downside protection over optimism.

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Contact Us

Feedback, deal submissions, and partnerships.

We welcome feedback, deal submissions, and collaboration opportunities.

How we use this inbox

  • Feedback helps improve the investor experience and platform clarity.
  • Deal submissions let us review listings that may deserve inclusion upstream.
  • Partnership enquiries are welcome from investors, operators, and data collaborators.

We review all submissions. Deal submissions are prioritised where sufficient detail is provided.

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Saved Deals

Deals and auctions you've bookmarked for closer review.

Saved Buy-to-Let Deals

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