Domain quality
QDS is the quality layer. It is designed to remain stable when an asking price changes or when a particular buyer pays an unusual price.
QUANTUMDOMAINS · QDS 2.0 · FROZEN FRAMEWORK
Quantum Domain Score
A structured quality score for digital names — independent of price.
0–100 public scale
1000-point engine
10 internal criteria
Price-independent
Semantic Parser v0.4.1
Quality first. Price later.
Quantum Domain Score (QDS) describes the intrinsic quality profile of a domain name. It evaluates branding power, memorability, language, structure, extension quality, commercial usefulness, future relevance, semantic strength, scarcity and end-user fit. Reported sale prices, current asking prices and buyer offers are deliberately excluded from the QDS calculation.
1000internal points
10criteria
387portfolio domains
0–100public QDS
Three layers — deliberately separated.
Theoretical value range
QDV places domain quality into market context using reported comparable sales and market regimes. It produces a range rather than a promised transaction price.
Seller strategy
The asking price is a commercial position. It may intentionally exceed the central theoretical value and can be manually overridden without changing QDS.
Quantum Domain Score
—QDS Load a domain from the sealed portfolioThe layout below uses the same radar-and-table language as the QuantumDomains detail pages, but now displays the ten frozen QDS 2.0 criteria directly from the production dataset.
Portfolio QDS explorer
Loading qdsqdv.json…Loading the sealed QDS production dataset…
QDS is continuous. No artificial “Premium at 90” threshold is imposed by the production framework. A higher QDS indicates a stronger overall quality profile under the same frozen scoring rules.
The 1000-point engine.
The public 0–100 QDS is the internal 1000-point score divided by ten. Each criterion has a fixed maximum; those maxima are part of the frozen framework and are not adjusted to make individual portfolio domains look better.
Distinctiveness, naming power and ability to function as a credible brand.
Recall, recognizability and how easily the name remains in memory.
Pronounceability, naturalness, clarity and strength of the linguistic construction.
Length, composition, word structure and technical cleanliness of the domain.
Strength, acceptance and contextual suitability of the extension.
Commercial usefulness, breadth of plausible business applications and marketability.
Relevance to durable or emerging technology and business sectors.
Meaning, conceptual density and coherent semantic associations supported by the string.
How difficult it would be to replace the domain with an equally strong alternative.
How naturally the name can fit plausible companies, products, platforms or organizations.
Public presentation: domain detail pages may summarize the score through seven reader-friendly dimensions
such as Brand Power, Memorability, Commercial Potential, Future Relevance and Extension Quality. The authoritative
QDS itself is always the frozen ten-criterion / 1000-point engine shown above.
Semantic meaning without score inflation.
Many QuantumDomains names deliberately carry more than one possible interpretation. QDS can recognize genuine wordplay and technical ambiguity, but only when the domain string itself supports that interpretation.
Read the string
Exact roots, abbreviations, extension context and frozen controlled orthographic transformations are identified first.
Resolve supported meaning
Productive ambiguity can strengthen Semantic Strength or Brand Strength when the readings are plausible and coherent.
Keep intent separate
If a meaning comes only from a sales text or internal concept and cannot be recovered from the string, it remains explanatory metadata and creates no automatic QDS points.
Semantic parser: v0.4.1 FROZEN. Reported sale prices and desired asking prices are not parser inputs.
Governance rules.
QDS may inform QDV.
Quality can be used later as one input into theoretical valuation. A valuation result is not allowed to rewrite quality.
No desired-score adjustment.
Criteria are not moved merely because a preferred asking price or a particularly impressive comparable would look better.
One property, one fair effect.
The framework contains anti-double-counting and anti-multiple-penalty rules so the same strength or weakness is not repeatedly rewarded or punished.
What QDS does not claim.
QDS is not a sale-price prediction. A real transaction can be strongly affected by buyer-specific strategic fit,
budget, timing, negotiation, venue, financing and scarcity at the moment of sale. Those factors cannot be inferred reliably from
the domain string. QDS therefore remains a quality reference. The separate QDV layer provides a theoretical market-value range,
while the asking price remains a seller decision.