Jane Street's Figgie card game

Game concept & purpose

• Figgie is seen as a compact simulation of markets: fast trading in a single asset with asymmetric information.
• Several comments reference a linked blog post arguing Figgie teaches trading concepts better than poker, though the author later softened that claim after playing more serious poker.
• Some commenters like how the game isolates price discovery and information inference without poker’s heavy rules and psychology overhead.

In‑person play with physical cards

• Many want to play with real cards and brainstorm ways to generate the uneven suit distribution:
  • Two‑person protocols (one sorts, the other randomizes/marks piles; then roles swap).
  • Single‑person combinatorial schemes to pull specific positions from a patterned deck.
  • Simpler methods: multiple pre‑made decks, post‑round resorting by suit, or using many standard decks combined.
• There is disagreement over practicality: some find these methods clever; others say they’re too slow and fussy for a game meant to be played every four minutes.

App implementation and UX

• Several people try the app; some report layout glitches and unclear feedback (e.g., username already taken).
• It’s identified as a React Native app; a few excuse rough edges given the firm’s OCaml focus, others use it as an example of RN pain and argue it could just be a web game (which also exists).
• Observers note the explicit recruiting banner as unusual but see the game as a typical high‑finance recruiting tool.

Gameplay, stakes, and strategy

• Questions arise about playing one‑off rounds with no real money: does it still “work” as a game, or does it need tournaments/long sessions like poker and backgammon?
• People share strategies:
  • Infer likely goal suit from skew in your initial hand, then trade toward that suit.
  • Estimate card values probabilistically and trade whenever market prices deviate.
  • Or ignore the goal suit and just “market‑make” (buy low, sell high) for small consistent gains.
• Some dislike the emphasis on speed and bots instantly exploiting mispricings; others calculate that you can play reasonably slowly and still beat the ante.

Finance, trading, and morality

• A major thread debates whether games like Figgie are a “trap” to funnel engineers into morally dubious finance jobs.
• Critics argue traders, hedge funds, and private equity extract wealth without giving back, profit from crises, and resemble gamblers.
• Defenders emphasize price discovery, liquidity for pensions and investments, and the honesty of traders about pursuing money compared with “change the world” tech culture.
• There is friction over whether “trading” vs “speculation” are meaningfully distinct and whether middlemen add value or simply scalp buyers and sellers.

Related writing and off‑topic tangents

• The linked eulogy for a co‑creator of Figgie is widely praised as moving and insightful, and surfaces other niche resources on AI poker.
• Discussion spins off into health‑optimization, “seed oil” skepticism, and how easily food and health debates veer into conspiracy territory—seen by some as rational caution and by others as pseudoscience.