Apis mellifera · Animal
DAILY RACE · #0247
Navigate the
sum of all knowledge.
From one Wikipedia article to another. No search. No back button. Every blue link is a decision.
NEW RACE IN05:21:09UTC
→YOUR PATH
Mathematician · 1912–1954
PLAYERS TODAY2,847
MEDIAN7 clicks
YOUR STREAK12 days
Timer starts when you open the first article.
YESTERDAY’S WINNER
“The trick was getting to computing through cryptography.”
AK
atlas_keiTokyo, Japan
4 clicks · 00:38- 1atlas_kei4
- 2netrunner4
- 3louise.m5
Honey bee
FROM WIKIPEDIA, THE FREE ENCYCLOPEDIA
Honey bee
A honey bee is a eusocial flying insect within the genus Apis, native to mainland Afro-Eurasia. Honey bees are known for their construction of perennial colonial nests from wax, the large size of their colonies, and surplus production and storage of honey.
Human cultivation of honey bees, or beekeeping, has been practiced for millennia. Their communication has been studied in ethology, while the geometry of their comb connects to mathematics and optimization.
RACE COMPLETE
✓
You found Turing.
Today’s path is in the books.
CLICKS4
TIME00:38
RANK#184
DAILY STANDINGS · #0247
Today’s leaderboard
Ranked by fewest clicks, then fastest time.
RANKPLAYERCLICKSTIME
#184JDYou6
1Aatlas_kei4
2Nnetrunner4
3Llouise.m5
4Qquill_775
PRODUCT BLUEPRINT
From skeleton to daily ritual.
A focused proposal for a fair, social, replayable knowledge game.
Core loop
One shared start and target each day. Players navigate an isolated Wikipedia article view; only valid internal links count. Lowest clicks wins, with elapsed time as the tie-breaker.
Identity
Email or social sign-in, persistent display name, country, streak, personal bests, and friend graph. Guests can practice but do not post ranked scores.
Fair play
Server-issued run tokens, immutable click event logs, monotonic server timestamps, no search/back controls, rate limits, and anomaly flags for impossible navigation.
Daily content
A curator selects reachable, interesting pairs. An automated graph check verifies paths, blocks disambiguation traps, and estimates a target difficulty of 5–9 clicks.
Data model
Users, challenges, runs, click_events, friendships, and daily_ranks. Store article IDs and revisions so every competitor races on identical content.
Launch plan
Phase 1: accounts and global ranking. Phase 2: friends, sharing, streaks. Phase 3: leagues, archives, creator challenges, moderation, and localization.
Recommended architecture
Responsive web app → edge API → relational database + daily Wikipedia content cache. Background jobs ingest article graphs and compute rankings. Privacy-first analytics measure starts, completions, retention, and suspicious runs.