Mathematics Keyword Domains

These domains are mathematics-related keyword names spread across 505 TLDs. Sample names include math.download, theory.kiwi, and vector.free. Updated daily, this selection is best judged by keyword fit, TLD credibility, renewal risk, and trademark clarity.

GitHub

Domain names

AcquisitionSpread
theory.kiwi
70
Premium
$73.72

82
25%
space.vet
70
Premium

80
59%
pure.zone
70
Resell

126
47%
set.tienda
80
Premium

98
30%
math.download
50
Premium

94
40%
theory.luxury
70
Available
$500.98

82
25%
vector.free
70
Premium

100
40%
number.boo
20
Premium

96
26%
science.boats
70
Premium

106
43%
function.futbol
60
Premium

92
26%
theory.pw
70
Premium

82
20%
space.racing
70
Resell

80
59%
math.lawyer
50
Premium

94
40%
pure.miami
70
Premium

126
47%
theory.coupons
70
Available
$59.98

82
25%
theory.kim
70
Available
$32.98

82
25%
analysis.republican
80
Available
$43.98

80
24%
math.jetzt
50
Premium

94
40%
set.financial
80
Premium

98
30%
arithmetic.courses
60
Available
$44.98

82
7%
number.community
20
Premium

96
26%
analysis.rentals
80
Available
$56.98

80
24%
math.blackfriday
50
Premium

94
40%
number.golf
20
Premium

96
26%
vector.cx
70
Resell

100
35%
function.vet
60
Premium

92
26%
math.catering
50
Premium

94
40%
arithmetic.fail
60
Available
$50.98

82
7%
graph.fishing
60
Premium

92
32%
theory.blog
70
Premium
$162.5

$650/yr
82
25%
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Decision signals

Compare 18 decision signals across price, renewal, comps, spread, and risk.

Deeper filters

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Portfolio tracking

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Insights

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Search insights

Each card explains one signal behind the visible search preview.

Value quadrant

The largest opportunity pocket sits in Low demand / Low price.

Visible breakdown

  • High demand / Low price83 results • 3%
  • High demand / High price5 results • 0%
  • Low demand / Low price2,206 results • 93%
  • Low demand / High price82 results • 3%

Liquidity

Liquidity is currently concentrated in Low demand.

Visible breakdown

  • Top 15% demand128 results • 2%
  • High demand172 results • 2%
  • Low demand6,726 results • 96%

Price distribution

Most visible domains in this search cluster in < $500.

Visible breakdown

  • < $5002,038 results • 86%
  • $500-$2k219 results • 9%
  • $2k-$5k91 results • 4%
  • $5k-$10k14 results • 1%
  • $10k+14 results • 1%

TLD mix

The visible preview is led by .expert, which currently carries the largest share of results.

Visible breakdown

  • .expert38 results • 11%
  • .online38 results • 11%
  • .store37 results • 11%
  • .gg36 results • 11%
  • .site36 results • 11%
  • .zone33 results • 10%
  • .at32 results • 9%
  • .space32 results • 9%
  • .cloud30 results • 9%
  • .tech30 results • 9%

Quality mix

Demand concentration is strongest in Low (0-39), which gives the clearest read on this search's quality mix.

Visible breakdown

  • Low (0-39)6,726 results • 76%
  • Mid (40-69)1,819 results • 21%
  • High (70-84)172 results • 2%
  • Top 15% (85+)128 results • 1%

Risk proxies

Low demand is the most common risk signal in this search preview.

Visible breakdown

  • Mainstream TLD23 results • 0%
  • Premium status1,712 results • 19%
  • High renewal526 results • 6%
  • Low demand6,726 results • 75%

FAQ

Direct answers about the current public search and how to read its market signals.

What is this search best for?

Best for investors and operators who want a fast read on market depth, pricing reality, and where the cleaner deal pockets concentrate.

What is the strongest signal in this search?

8,845 visible matches cluster around a median ask of $498, with 8845% already sitting in buyable inventory types.

What should I watch in this search?

496% of the current set reads as lower-risk in the public safety proxy, while only 363% lands in the ready-picks band, so quality is concentrated rather than evenly spread across the search.

What kind of domains are in this selection?

These are domains tied to mathematics-related keywords. Sample names include math.download, theory.kiwi, vector.free, and function.futbol.

Are these mostly mainstream TLDs?

No clear mainstream concentration is shown. The sample points to a broad mix of niche extensions, so extension quality should be reviewed carefully name by name.

How should founders evaluate these domains?

Favor names with clear math relevance, easy spelling, and an extension that still feels credible to customers. Avoid picks where the novelty of the TLD does all the work.

How should investors judge this set?

Focus on buyer depth for the keyword, extension liquidity, renewal risk, and whether the name can attract demand without needing a highly specific use case.

What are the main risks in this selection?

The main risks are weak extension credibility, uncertain resale depth, possible high renewals on niche TLDs, and names that look clever but lack clear buyer demand.

Are pricing and resale stats available here?

No usable pricing or resale figures are shown for this selection, so each domain should be judged primarily on keyword strength, extension quality, and likely end-buyer fit.

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