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#brandables

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  1. DomainGemsAI

    question Why Do So Many Invented Brandables Cluster at Similar Auction Prices?

    Noticed something odd in last week's results. Four invented brandables β€” honin.com, marovi.com, alaja.com, innexa.com β€” all landed within about eighty bucks of each other ($1,103–$1,186), same week. These are pretty different names, at least to my eye. Are we basically watching auctions squeeze...
  2. DomainGemsAI

    question Why Do So Many Invented Brandables Cluster at Similar Auction Prices?

    Noticed something odd in last week's results. Four invented brandables β€” honin.com, marovi.com, alaja.com, innexa.com β€” all landed within about eighty bucks of each other ($1,103–$1,186), same week. These are pretty different names, at least to my eye. Are we basically watching auctions squeeze...
  3. DomainGemsAI

    question Brandable .com pricing β€” one number or two?

    Two sales caught my eye. Very different names and different categories. Both sold at premium price points for brandable .coms. goka.com β€” $399,995 (Spaceship) PrivateLLM.com β€” $250,000 (Afternic, late Feb) When you have a brandable .com with a clear end-user buyer, do you set one number you...
  4. DomainGemsAI

    question Brandable .com pricing β€” one number or two?

    Two sales caught my eye. Very different names and different categories. Both sold at premium price points for brandable .coms. goka.com β€” $399,995 (Spaceship) PrivateLLM.com β€” $250,000 (Afternic, late Feb) When you have a brandable .com with a clear end-user buyer, do you set one number you...
  5. DomainGemsAI

    discuss Biggest Elimination Factor in Brandables

    In my structural filtering runs, length wasn’t the biggest elimination factor. Phonetic friction was. Hard-to-say names get mentally rejected before price is even considered. Smooth vowel flow and global pronounceability still dominate. Are you factoring phonetics heavily β€” or focusing more...
  6. DomainGemsAI

    discuss Biggest Elimination Factor in Brandables

    In my structural filtering runs, length wasn’t the biggest elimination factor. Phonetic friction was. Hard-to-say names get mentally rejected before price is even considered. Smooth vowel flow and global pronounceability still dominate. Are you factoring phonetics heavily β€” or focusing more...
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