Recorded answers
1,542 recorded answers
How to approach it
Work backwards from the number rather than forwards from global fame. Ten million is a threshold that rewards regional giants, so picture the entertainment industries with the largest domestic audiences and then sweep through the professions that generate constant visual content: actors, singers, presenters, preachers, athletes, cooks, comics and lifestyle personalities. Run that sweep country by country, or language community by language community, and keep a written running list instead of stopping at the first famous face that comes to mind. Check each candidate against a rough sense of their following before committing a guess, because a plausible name that actually sits just under the line wastes a slot. Favour mid-tier and regional figures over obvious worldwide superstars, since the latter are what everyone else will name and therefore score poorly.
Get a hint
Start from the biggest celebrity ecosystems you can name: film industries, music scenes, sports leagues, comedy circuits and devotional movements each produce their own crowd of verified mega-accounts with audiences in the tens of millions.
A little more
Then narrow by geography. Several countries have populations and phone habits that make ten million followers a routine milestone for local actors, singers, presenters, preachers and athletes who are barely known outside the region.
One step further
Finally drop to the second tier: not the global household names but the regional stars, family channels, pastry chefs, fighters and motivational speakers whose following is enormous at home and modest abroad.
Reveal answers 1,542
- Mr. FaisuDeep Cut85points
- Mrunal ThakurDeep Cut85points
- Ms PuiyiDeep Cut85points
- Mufti MenkDeep Cut85points
- Munawar FaruquiDeep Cut85points
- Murat BozDeep Cut85points
- Mustafa HosnyDeep Cut85points
- Myke TowersDeep Cut85points
- Myriam FaresDeep Cut85points
- NachoDeep Cut85points
- Nacho FernándezDeep Cut85points
- Nadine LustreDeep Cut85points
- Nadine Nassib NjeimDeep Cut85points
- Najwa KaramDeep Cut85points
- Najwa ShihabDeep Cut85points
- Naldo BennyDeep Cut85points
- Nam Joo-hyukDeep Cut85points
- Nancy AjramDeep Cut85points
- NandyDeep Cut85points
- NaniDeep Cut85points
- Narin's BeautyDeep Cut85points
- Nash GrierDeep Cut85points
- Nastasya SamburskayaDeep Cut85points
- Nastya IvleevaDeep Cut85points
- Natanael CanoDeep Cut85points
- Natasha WilonaDeep Cut85points
- Nathalia ValenteDeep Cut85points
- NattanDeep Cut85points
- Natti NatashaDeep Cut85points
- Nawazuddin SiddiquiDeep Cut85points
- NayantharaDeep Cut85points
- NayeonDeep Cut85points
- Nayib BukeleDeep Cut85points
- Neha KakkarDeep Cut85points
- Neha SharmaDeep Cut85points
- Neslihan AtagülDeep Cut85points
- Nesreen TafeshDeep Cut85points
- Nəfəs HüseynovaDeep Cut85points
- Nia RamadhaniDeep Cut85points
- Niana GuerreroDeep Cut85points
- Nicki NicoleDeep Cut85points
- NicocaponeDeep Cut85points
- Nicolás OtamendiDeep Cut85points
- Nicole BahlsDeep Cut85points
- Nicole WallaceDeep Cut85points
- Nidhhi AgerwalDeep Cut85points
- Nikita MirzaniDeep Cut85points
- Nikita WillyDeep Cut85points
- Nikolas FerreiraDeep Cut85points
- NingningDeep Cut85points
Why these answers count
Scoring rewarded breadth of recall over headline fame. The single hundred-point answer, Betül Tunç, was a niche pick that almost nobody else offered, so it stood alone at the top of the table. The vast majority of strong entries landed at eighty-five points and cluster in exactly the pattern the question invites: regional and mid-tier celebrities spread across a very wide range of countries. Aaryan Kelvin, Abhishek Malhan, Abir El Saghir and AboFlah all sit in that band, recognisable inside their own media ecosystems and far from universal elsewhere. Sixty points went to answers that were correct but comparatively common, where many players converged on the same names. None of this suggests obscurity was rewarded for its own sake; the pattern is simply that the more obvious a candidate is, the more people name them, and the scoring favours the pick only a handful of players could produce. Breadth across many countries beat depth in one.