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[UPD] Wikispeedia: the Wikipedia Speedrunning Game

[UPD] Wikispeedia: the Wikipedia Speedrunning Game

A Roblox experience owned by TeamWikipedia.

PuzzleENspeedrunningtriviapuzzle

Description (written by the developer; not a statement by this register)

[Update 11/20] Added a new custom level for YouTuber RoyalPear! Welcome to Wikispeedia: the Wikipedia Speedrunning Game! 👟 Race from one Wikipedia article to another as fast as humanly possible! 🏆 Rank on our competitive leaderboard and beat staff scores! 🛸 Get lost in a sprawling map of hand-selected articles! 🦾 Challenge your friends! 🧠 Are you the smartest in the room? 🧐 Check out Wikipedia.org, the largest source of knowledge in the entire world! 📚 Wikipedia is hosted and protected by the Wikimedia Foundation, a non-profit organization 🌎 Every month, hundreds of thousands of volunteers edit, add images, and fact-check the pages that make up Wikipedia!

Last updated by the developer 2 Dec 2025, 06:11 UTC.

0
playing (measured 14 Aug 2026, 09:34 UTC)
44,026
lifetime visits
79%
liked (195 👍 / 51 👎)
794
favourites (18.0 per 1k visits)
6 February 2025
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
14 Aug 2026, 09:340first reading

Concurrent players at each of our measurements (insert-on-change).

Badge funnel

10 Wins · progression2,850 · 0.00% win
High Score · other219 · 0.00% win
50 Wins · progression205 · 0.00% win
100 Wins · progression29 · 0.00% win
10 High Scores · other9 · 0.00% win
50 High Scores · progression2 · 0.00% win
test badge do not award · other0 · 0.00% win
100 High Scores · progression0 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.