Is Furniture next door. Sell and buy used furniture. profitable?

With estimated build cost $135K and monthly revenue $421, Furniture next door. Sell and buy used furniture. looks well below break-even — current monthly revenue is much smaller than the estimated build cost. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.

How many users does Furniture next door. Sell and buy used furniture. have?

Estimated audience: ~44K lifetime downloads, ~11K monthly active users, and ~6K daily active users. Derived from ratings count × category installs-per-rating × age decay. US-storefront-equivalent — global audience can be 5-10× larger for internationally-distributed apps.

What apps are like Furniture next door. Sell and buy used furniture.?

Browse the full Social category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.

What is Furniture next door. Sell and buy used furniture. built with?

Our heuristic places Furniture next door. Sell and buy used furniture. on the Native Android (Kotlin) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Flutter.

Who makes Furniture next door. Sell and buy used furniture.?

Furniture next door. Sell and buy used furniture. is published by Escargot Studios, LLC on the Google Play Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.

What is Furniture next door. Sell and buy used furniture.'s BU Score?

Furniture next door. Sell and buy used furniture. has a BU Score of 57/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.

Quality Score

Solid

Furniture next door. Sell and buy used furniture.

Name: Furniture next door. Sell and buy used furniture. — app revenue, audience, build cost & risk profile
Creator: bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Furniture next door. Sell and buy used furniture. revenue, Furniture next door. Sell and buy used furniture. app analytics, mobile app revenue estimate, Social revenue, Android app revenue

4.4 ✍️ Editor

Social

✍️ bumetric analysis

“

Furniture next door. Sell and buy used furniture. is an Android app from Escargot Studios, LLC in the Social category, currently rated 4.4★ across 498 ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.

Quality Score is 57: Solid (established niche player). For a Social app, that means established niche player. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.

Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.

💰 Monthly revenue · now vs forecast

● Right now

$500

per month

→

12-mo forecast

$437 – $1575

per month

→

24-mo forecast

$405 – $3644

per month

INDIE tier

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Title & subtitle keyword fit
Description hook & conversion structure
Screenshots, ratings, reviews strategy

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Typical impact: +2-5× organic installs

📊 Performance Tracking LIVE

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idle

Rating

—

Reviews

—

Forecast Revenue / mo

—

Snapshots tracked

since first record

ONE-TIME · BUILD💰 Estimated build cost

$135K

↳ What it cost to build · not monthly revenue

Likely range $100K – $180K

$25K · MVP floor$100K · indie scale$500K+ · studio build

📈Slow ROI — current MRR is well below build cost

Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.

Where the money goes

🧱MVP baseline (design + 1-store ship)	+$28K
📱5 unique screens × $4.5K	+$22K
⚙Social complexity ×1.70	+$35K
🌐Cross-platform reach (iOS + Android)	+$47K

Total estimate$135K

👥 Estimated audience size

44K

Lifetime downloads (US-equivalent)

Monthly active

11K

Daily active

6.0K

Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.

How we sized it

📲Social engagement	~90 installs / rating
🔁Social D30 retention	25%
📍DAU / MAU stickiness	0.55

DAU / MAU55% sticky

🛠 Estimated tech stack

🤖

Native Android (Kotlin)

High confidence · 80%

Also possible

Flutter

Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries — for binary-level certainty you would need an SDK intelligence tool or the manifest itself. Reasoning chain on the right. Full ruleset on /methodology.

Signals we read

🏷Category context	Social
📦Compact Android bundle	→ Native Kotlin

🔬

How we forecast this revenue

LOW CONFIDENCE

Baseline

$500/mo · ML-estimated from 234 triggers

Growth rate

+6.0% MoM · INDIE tier baseline (compound monthly)

6 months

$426 – $993

12 months

$437 – $1.6K

24 months

$405 – $3.6K

Compound growth at +6.0% MoM (tier baseline for INDIE). Range widens with horizon — typical noise band ±40% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.

📊

BU Investment Matrix

Early-stage solo · 42/100INDIE TIERexpected for tier

Revenue Strength

2.7

Product Quality

6.2

Market Position

0.0

Growth Velocity

5.0

Defensibility

3.5

Operational Safety

10.0

Founder Strength

4.9

Monetization Maturity

1.0

💰 Revenue: Marginal — $200 - $1250/mo · INDIE tier · medium confidence, trajectory unclear.
⭐ Quality: 4.4★ across 498 reviews — solid.
📍 Market: Not yet charting in any of the 9 monitored markets.
📈 Growth: Insufficient signal to assess trajectory.
⚠️ Risk: Low — no material risk signals detected.

🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.

💵 For acquirers: Estimated asking range 18-32× monthly = $9K-$16K. Portfolio play ($1K/mo combined) commands premium.

Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.

Range:

💰 Forecast Revenue / mo

MODEL

Revenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.

🔬Forecast Breakdown — Why This Estimate?Top 3 of 3 triggers

Our ML model uses 200+ signals from public data. These are the most influential for this app:

Good rating (4.4★)METRIC		+$800
Ad-supported / freemiumMETRIC		+$600
Early-stage install base (498 ratings)METRIC		+$400

METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📥 Estimated Downloads / week

PROXY · ratings × 50/wk —

Industry-rule estimate (Sensor Tower / data.ai): one weekly install ≈ 50 new ratings. Solid points = tracked snapshots · faded line = pre-tracking model backfill.

📈 Reviews Growth

LIVE

Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE

Average rating evolution. Updates with each new review batch.

🗓️ Snapshot Timeline

HISTORY

Each bar shows a tracked update and the metric delta from the previous snapshot.

App Specs

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Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name: Furniture next door. Sell and buy used furniture.
Developer: Escargot Studios, LLC
Bundle ID: cpro.furniture
App Store URL: Open in App Store
Category: Social
Content rating: Not found
Languages: Not found

Company

Website: Not found
Tagline: Not found
Description: Not found
Founded: Not found
HQ / Address: Not found
Employees: Not found
Logo: Not found

Revenue

Verified revenue / mo: Not found
AI revenue estimate / mo: Not found
AI annual estimate: Not found
ML model estimate / mo: $422/mo
Top-grossing rank: Not found
All-time revenue: Not found
Pricing: Not found

Founder

Founder data not yet collected for this app.

Funding

Funding data not yet collected for this app.

Press & Links

Press & Links data not yet collected for this app.

Contacts & Socials

Contacts & Socials data not yet collected for this app.

Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.