How much does 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 make per month?

Based on our ML-calibrated revenue forecast, 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 earns approximately $680/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.

What apps are like 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全?

Browse the full Tools 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.

Who makes 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全?

小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 is published by mcconnalyoy 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 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全's BU Score?

小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 has a BU Score of 65/100 (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.

小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全

Quality Score

Solid

小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全

Name: 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 — app revenue, audience, build cost & risk profile
Creator: bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 revenue, 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 app analytics, mobile app revenue estimate, Tools revenue, Android app revenue

by mcconnalyoy

Medium confidence

4.7 ✍️ Editor

✍️ bumetric analysis

“

小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全 is an Android app from mcconnalyoy in the Tools category, currently rated 4.7★ across 6,053 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.

Quality Score is 65: Solid (established niche player). For a Tools 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

$680

per month

→

12-mo forecast

$594 – $2143

per month

→

24-mo forecast

$551 – $4957

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

Loading…

idle

Rating

—

Reviews

—

Forecast Revenue / mo

—

Snapshots tracked

since first record

ONE-TIME · BUILD 💰 Estimated build cost

$70K

↳ What it cost to build · not monthly revenue

Likely range $50K – $95K

$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
⚙ Tools complexity ×0.90	$-5049
🌐 Cross-platform reach (iOS + Android)	+$24K

Total estimate $70K

ONE-TIME · EXIT VALUE 💵 Estimated acquisition value

$10K

↳ What it would sell for · not monthly revenue

Marketplace range $10K – $15K · 15× MRR multiple

💸 ~0.1× build cost (under-water)

Synthetic estimate. Multiple band derived from ad-supported + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.

How the multiple was built

📺 Ad-supported base	15× MRR
⭐ ★ rating ≥ 4.4 (solid)	+8%
🏷 Tools category multiple	-8%

Final multiple 15× MRR

👥 Estimated audience size

1.1M

Lifetime downloads (US-equivalent)

Monthly active

250K

Daily active

45K

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

📲 Tools engagement	~190 installs / rating
🔁 Tools D30 retention	22%
📍 DAU / MAU stickiness	0.18

DAU / MAU 18% sticky

🔬

How we forecast this revenue

LOW CONFIDENCE

Baseline

$680/mo · ML-estimated from 234 triggers

Growth rate

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

6 months

$579 – $1.4K

12 months

$594 – $2.1K

24 months

$551 – $5.0K

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 · 41/100INDIE TIERexpected for tier

Growth Velocity

5.0

Founder Strength

3.2

Product Quality

8.4

Revenue Strength

2.8

Monetization Maturity

1.0

Defensibility

3.6

Market Position

0.0

Operational Safety

9.0

💰 Revenue: Marginal — $272 - $1700/mo · INDIE tier · medium confidence, trajectory unclear.
⭐ Quality: 4.65★ across 6,053 reviews — strong (top 10%).
📍 Market: Not yet charting in any of the 9 monitored markets.
📈 Growth: last update 192d ago — slow cadence.
⚠️ 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 = $12K-$21K.

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 4 of 4 triggers

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

Excellent rating (4.7★)METRIC		+$2,200
Low install base (6,053 ratings)METRIC		+$1,500
Established app (6y old)METRIC		+$800
Ad-supported / freemiumMETRIC		+$600

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.

Profile & Insights

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

Identification

App name: 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全
Developer: mcconnalyoy
Bundle ID: com.wbydq.txtreader
App Store URL: Open in App Store
Category: Tools
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: $172/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.

📈Ratings growth6,053 ratings+57% lifetimeShow 3-year history estimate ▾

Tracked (1 weeks) Pre-tracking estimate (36 weeks) · model-based, ±5% noise · anchored to release date and current value

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.

📝 About this app

【Fiction Encyclopedia】

1. Classification of super complete novels, classified according to the gender of male and female protagonists, providing male novels and female novels

For example: fantasy, martial arts, fairy tales, fantasy, science fiction, supernatural, urban, history, military, games, light novels, ancient romance, modern romance, youth campus

2. Find books according to the character of the protagonist, such as: cold, kind, humorous, warm boy, rich second generation, student, strong woman, cute, school belle, princess, domineering president

3.… View full description on the official store →

App Specs

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🔖 v2.1.5🔄 updated 0d ago📂 Tools💰 Free📺 Ad-supported

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📝 Description

BU Score · Transcendent

Full revenue analysis

Read the article-style breakdown for 小說迷：小說閱讀器、小說下載器，全本小說閱讀、熱門小說大全: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.

Read deep-dive →