# Noun Town Language Learning

> ResidualPlay case file: an overlooked Steam game still earning residual revenue. Estimates carry a ±30-50% error range per title.

- Steam appid: 2313720
- Developer: SUPER HYPER MEGA
- Released: 2026 · Genre: Adventure · List price: $19.99
- Deal grade: B (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $3.0k to $4.5k per month (mid $3.8k)
- Opportunity score: $4.9k/month at x1.30 dormancy multiplier
- Est. lifetime owners: 22.5k · Est. lifetime net revenue: $151.0k
- Review sentiment: 85% positive across 748 reviews (704 from Steam purchases)
- Review velocity: 22.5 reviews/month (6-month average)

## Why it's flagged

- Developer active, last post 1 months ago
- Last build shipped 19 months ago

## Where a gross dollar goes (monthly, at current velocity)

| Stage | USD/month |
|---|---|
| Gross storefront sales | $6.8k |
| After VAT / sales tax (-13% blended) | $6.0k |
| After refunds (-9.5% median) | $5.4k |
| Net to developer (after Steam 30%) | $3.8k |

## Monthly review counts, oldest to newest (24 months)

21, 24, 13, 20, 19, 115, 21, 21, 14, 18, 17, 21, 10, 13, 15, 5, 13, 10, 11, 11, 6, 60, 23, 24

## Estimated acquisition range

$90.5k to $181.0k (2-4x the trailing net annuity of $45.2k/year). Same error range applies.

## Markets by review language

- russian: 1% (game NOT localized in this language)
- spanish: 2%
- japanese: 1%
- schinese: 11%
- brazilian: 4%
- german: 3%
- english: 76%
- koreana: 1%
- french: 1%

## Analyst notes (AI-assisted)

Cozy adventure game that teaches vocabulary and grammar through interactive gameplay, targeting language learners across 10 languages with particular strength in German and Japanese.

Noun Town occupies a defensible niche: language-learning games with genuine pedagogical depth remain rare, and this title sustains $3.8k/mo residual revenue on a modest $19.99 price point and zero promotional activity for 18 months. The 85% positive rate and player retention (22.5 reviews/month, 93-hour play sessions) signal engaged learners, not casual clickers. Acquisition makes sense for educational publishers or language-platform operators seeking PC catalog depth; revival through localization (Russian gap at 0.59%) or structured content drops could unlock the $4.9k/mo opportunity ceiling.

- Most realistic play: acquisition
- Risk (tech): Mac hitbox/hover precision bugs noted by players may have suppressed adoption on a platform with high language-learning penetration.
- Risk (market): Duolingo and Babbel own mindshare in casual language apps; this game's cozy positioning is differentiated but narrow.
- Risk (other): Developer has posted within the last month but shipped zero discount promotions in 12 months, suggesting either confidence in pricing or limited go-to-market resources.

What players are asking for:
- Plural form handling for noun declension (especially German)
- Mac stability and improved interaction precision
- Expanded language coverage and context-rich vocabulary drills

Suggested first moves:
1. Audit Mac hitbox code and UX targeting; this is a high-leverage fix for an engaged learner base.
2. Map Russian-language content gaps against the 0.59% localization shortfall and 4 Russian reviews; localization rollout could unlock dormant demand.
3. Evaluate German and Japanese grammar depth (plurals, case systems) against competitive titles; if the model supports iterative content, content roadmap clarity could justify list price and word-of-mouth velocity.

Generated 2026-08-20 from public signals and player reviews. Directional, not diligence.

## Methodology

Units are estimated from Steam-purchase reviews times a release-cohort multiplier (Boxleiter method, 20-75x by year). Revenue uses an effective price (lifetime discounts and regional pricing) and nets out VAT (~13%), refunds (~9.5%) and Steam's 30% cut: roughly 55% of gross reaches the developer.

Source: https://residualplay.com/game/2313720
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.