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Steam market intelligence

Feed the Deep

89% positive · 485 Steam reviews · released Aug 16, 2024 · by Luke Muscat

Rogue-liteLovecraftianIndieRogue-likeExplorationPhysicsDarkUnderwater

What it likely sold — estimate, stated as a range on purpose

Lifetime units: ~18.4k (P10–P90: 7.4k – 40.5k)

Gross revenue: ~$106k (P10–P90: $42.2k – $232k)

Estimate, method v1.0 — before Steam's ~30% share, refunds and VAT. The band approximates where about 8 in 10 comparable games land in published studies; some sit outside it. Our own hit rate goes on the accuracy ledger once measured. How we estimate

Estimates are statistical inferences from public data. They are not sourced from Valve or the developer and may deviate materially from actual results. Do not rely on them for investment or contractual decisions. As of Oct 1, 2026.

Player voice — measured shares of Steam thumbs, never a model

Gameplay & mechanics84% positive · 70 mentions
“Feed the Deep is a tightly designed roguelite that takes a simple premise—dive, gather, return—and builds it into a tense, atmospheric experience driven by constant risk and decision-making. Developed and published by Luke Muscat, the game…”Recommended · Steam review · Mar 2026 · 12 h played · Report / request removal
Content & longevity85% positive · 52 mentions
“In the beginning, I enjoyed the game. The atmosphere was really good, and the mini-games were fun. But after a couple of hours, I found it too repetitive and quit. It feels like a simpler version of Dome Keeper”Recommended · Steam review · Sep 2025 · 3 h played · Report / request removal
Visuals & audio90% positive · 50 mentions
“In the beginning, I enjoyed the game. The atmosphere was really good, and the mini-games were fun. But after a couple of hours, I found it too repetitive and quit. It feels like a simpler version of Dome Keeper”Recommended · Steam review · Sep 2025 · 3 h played · Report / request removal
Price & value94% positive · 50 mentions
“Fun little game, not without its quirks but worth the pittance asked for it. It executes well on what it sets out to do and when you consider this was entirely a one-man effort, it really is a fine showing. The Dome Keeper inspiration is…”Recommended · Steam review · Jun 2025 · 13 h played · Report / request removal
Story & writing87% positive · 39 mentions
“Fun little game, not without its quirks but worth the pittance asked for it. It executes well on what it sets out to do and when you consider this was entirely a one-man effort, it really is a fine showing. The Dome Keeper inspiration is…”Recommended · Steam review · Jun 2025 · 13 h played · Report / request removal
Difficulty & balance88% positive · 26 mentions
“Feed the Deep is a tightly designed roguelite that takes a simple premise—dive, gather, return—and builds it into a tense, atmospheric experience driven by constant risk and decision-making. Developed and published by Luke Muscat, the game…”Recommended · Steam review · Mar 2026 · 12 h played · Report / request removal
Controls & UI88% positive · 17 mentions
“Fun little game, not without its quirks but worth the pittance asked for it. It executes well on what it sets out to do and when you consider this was entirely a one-man effort, it really is a fine showing. The Dome Keeper inspiration is…”Recommended · Steam review · Jun 2025 · 13 h played · Report / request removal

300 recent English reviews stored · topics keyword-matched · topics under 12 mentions stay hidden · methodology

Reviews are shown as published on Steam, including reviews from key activations and free copies — so percentages here can differ from the score on the Steam store page. GameTrend does not check whether reviewers bought or played the game.

Game DNA — store facts, community tag votes, labeled AI inference

Technology

2D

Art style

Stylized

Setting

Sci-fi

Structure

Procedural

Mood & themes

DarkHorrorAtmospheric

How you play together

Single-player

Platform features

AchievementsFull controller supportSteam Cloud

Business model

Buy to play

Sources: Valve store fields · community tag votes · AI-inferred values are marked and drawn from a fixed vocabulary.

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