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bills-appworkson Show HN: Euclidle – Guess the Coordinates in N‑Dimensional Space

I've created an introductory article for new players.

Puzzle game "Euclidle"

https://whtwnd.com/euclidle.com/3mbdnsuigff2w

bills-appworkson Show HN: Euclidle – Guess the Coordinates in N‑Dimensional Space

Thanks for the advice.

I’m sorry I can’t give a fully clear response right away, but it does look like your logic can indeed be used to compute the correct answer.

It’s a mathematically fascinating approach as well — thank you for sharing it.

bills-appworkson Show HN: Euclidle – Guess the Coordinates in N‑Dimensional Space

Sorry if I’m misunderstanding your comment, but your point is essentially correct: the puzzle can be solved using only the per‑coordinate feedback.

Since you mentioned “green,” I’m assuming you’re referring to Euclidle’s Absolute hint type. In that mode, each coordinate can indeed be narrowed down efficiently using a 1/2‑style strategy.

However, when the hint type is not Absolute — what I call Relative, where only directional information is provided — the situation is different. Because the feedback is purely relative rather than per‑coordinate, the simple 1/2 strategy does not directly apply.

bills-appworkson Show HN: Euclidle – Guess the Coordinates in N‑Dimensional Space

Thanks! I think it gets a lot more fun once you get the hang of it, so I hope you’ll give it another try.

bills-appworkson Show HN: Euclidle – Guess the Coordinates in N‑Dimensional Space

Author here — I built this app with Svelte.

Its simplicity and the straightforward reactivity model fit the kind of UI updates this game needs.

Interestingly, one of the beta users already derived a closed-form solution for the puzzle (I still don’t know the details myself).

Because the game only shows Euclidean distances rounded to two decimals, very large coordinate ranges (e.g., 3‑digit values) introduce enough rounding error that an exact solution becomes impossible in some cases.