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You play as Detective Grosvenor, a jaded, middle-aged woman hunting through the still-dark corners of the city in pursuit of a radicalised serial killer.
Using your powers of deduction you must solve the brutally gruesome murders of the Ring of Fire killer. Examine clues, interrogate key suspects, and cross-reference your findings in the police database to uncover the mystery.
SEARCH
Solve the case using text entry, meaning you can’t brute force the puzzle.
INTERVIEW
Push your suspects to the brink through branching cinematic conversations with meaningful consequences.
INVESTIGATE
Explore the 3D crime scene to examine evidence both visually and textually.
Ring of Fire: Prologue
Ring of Fire: Prologue is the first case in a search-based detective noir puzzler with a mature narrative set in the hyper-stylized streets of New London. Scour police records. Antagonize your suspects. Comb through a disturbing crime scene. You'll stop at nothing to expose the truth.
Reviews
0
No user reviews
Positive
—
0 positive
Followers
166
Est. WishlistsestiProxy: followers × 12 (industry heuristic)
2K
Est. OwnersestiBoxleiter method: reviews × 32
—
Est. RevenueestiEst. owners × ~62% of list price
$0
Price (US)
Free
Release
Dec 15, 2020
About
Ring of Fire is a detective noir puzzler set in the solarpunk utopia of New London.
You play as Detective Grosvenor, a jaded, middle-aged woman hunting through the still-dark corners of the city in pursuit of a radicalised serial killer.
Using your powers of deduction you must solve the brutally gruesome murders of the Ring of Fire killer. Examine clues, interrogate key suspects, and cross-reference your findings in the police database to uncover the mystery.
SEARCH
Solve the case using text entry, meaning you can’t brute force the puzzle.
INTERVIEW
Push your suspects to the brink through branching cinematic conversations with meaningful consequences.
INVESTIGATE
Explore the 3D crime scene to examine evidence both visually and textually.
★ Reviews
0%
No user reviews
0 total reviews
0 positive (0.0%)0 negative
Estimates — owners use the Boxleiter method (reviews × 32), wishlists proxy followers × 12, revenue uses ~62% of list price × est. owners. These are rough industry heuristics, not official data.
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