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20 of 4 132 candidate predictions.

A cross-section of the master database — one representative candidate per sector, plus a few high-probability generics. The full Master tier includes all 4 132 rows with per-candidate rationale, sub-sector tagging, UDRP-cited evidence, and per-country forecast intervals.

By Matthieu Credou — Afnic 2011-2017, on the new gTLD program team. Lived through the 2012 round.

CanonicalStringCountrySectorP(variant applies)
Chainlink.chainlinkUSWeb3 & Crypto98%
Lido Finance.lidoILWeb3 & Crypto92%
Nubank.nubankBRBanking & Insurance90%
SentinelOne.sentineloneILCloud, DevInfra & Cyber90%
Hims & Hers.himsandhersUSBiotech & Pharma90%
Chanel.chanelFRConsumer & Retail90%
OpenAI.openaiUSAI & Machine Learning85%
BlackSky.blackskyUSSpace, Defense & Quantum85%
Netflix.netflixUSMedia, Telecom & Creator85%
McKinsey & Company.mckinseyUSLegal & Professional85%
Innovafeed.innovafeedFRAgriTech & Food85%
Tesla.teslaUSAuto & Semis85%
Real Madrid C.F.realmadridESBrand Heritage (2012 reapplicants)85%
Wiz.wizILCloud, DevInfra & Cyber85%
Vast Space.vastUSSpace, Defense & Quantum85%
Ro.roUSBiotech & Pharma85%
TotalEnergies.totalenergiesFRClimate & Energy82%
Reliance Industries.relianceINConglomerate / Sovereign80%
MasterClass.masterclassUSEducation & EdTech75%
Figure AI.figureUSRobotics & Industrial72%

P(variant applies)— our model's estimate of the probability that this specific string is filed by the named entity in the 2026 round. Paired in the full report with P(applies overall) (any string) and a UDRP-cited rationale.

See the full 4 132-row database

The Master tier ships the complete CSV + Excel, per-candidate rationale, 30-country forecast breakdown, and sector deep-dives.

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