Answer 10 questions. Get a taste fingerprint mapped to 8 mechanical axes. Deepcuts surfaces hidden indie gems that match how you actually play— not what's popular.
No account. No email. Takes about 90 seconds.
Your fingerprint isn't genre tags — it's mechanical. These are the dimensions that actually predict what you'll love.
Deepcuts maps your answers — or your Steam library — onto 8 bipolar taste axes: depth vs breadth, patience vs tempo, solo vs social, systems vs story, familiar vs novel, cozy vs crunch, completionist vs wanderer, and loyalist vs drifter. It then matches you against a hand-scored catalogue of low-visibility indie games using cosine similarity, surfacing titles with high mechanical alignment but low Steam review counts.
No. The 10-question quiz gives you a full taste fingerprint and archetype without connecting anything. Steam is optional — it just makes the fingerprint more accurate by analyzing your actual playtime data.
A taste fingerprint is your personal score across 8 mechanical dimensions of how you enjoy games. Unlike genre tags ('RPG', 'strategy'), the fingerprint captures the underlying mechanics you gravitate toward — like whether you prefer deliberate turn-based decisions over real-time action, or story over systems. It's precise enough to find games you'd love that you've never heard of.
After computing your taste fingerprint, Deepcuts maps you to one of 30 named archetypes — like The Tactician, The Chronicler, or The Drifter. Your archetype is a human-readable label for where your fingerprint lands in taste space. You also get a shareable card with your archetype, axes, and personal deep cuts.
Most recommenders use collaborative filtering ('people who liked X also liked Y') or genre tags, both of which are biased toward popular games. Deepcuts deliberately scores for low-visibility — it uses a log-normalized review count to downrank games that already have large audiences and surface the ones algorithms bury. A 200-review gem with high mechanical alignment scores above a 20,000-review safe pick.
Yes. Your deep cuts are computed from your specific fingerprint — not a generic 'users like you' bucket. Every axis score shifts which games rank highest. Two people with similar overall fingerprints but different cozy/crunch scores will get different recommendations.