微信读书
80
Quality Score
Excellent
✍️ Bumetric analysis
“
微信读书 is an iOS app from Tencent Technology (Shenzhen) Company Limited in the Food & Drink category, currently rated 4.8★ across 27,008 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Quality Score is 80: Excellent (strong product-market fit). For a Food & Drink app, that means strong product-market fit. 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
$2.2M
per month
→
12-mo forecast
$2.3M – $3.6M
per month
→
24-mo forecast
$2.8M – $5.2M
per month
BIG tier
💡 Grow this revenue
Free AI audit of this app’s store listing
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
Typical impact: +2-5× organic installs
📊 Performance Tracking LIVE
93 snapshots on record
Rating
4.8
Reviews
27,008 reviews
Forecast Revenue / mo
$2.2M
Snapshots tracked
93
since Jul 2020
ONE-TIME · BUILD
💰 Estimated build cost
$165K
↳ What it cost to build · not monthly revenue
Likely range $125K – $225K
$25K · MVP floor
$100K · indie scale
$500K+ · studio build
📈
Pays back in under a month at current MRR
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 |
| 📦 Asset bundle (207 MB) | +$40K |
| ⚙ Food & Drink complexity ×1.10 | +$9K |
| ⚙ 11.1y maintenance × ~1-person team | +$66K |
Total estimate
$165K
ONE-TIME · EXIT VALUE
💵 Estimated acquisition value
$45.5M
↳ What it would sell for · not monthly revenue
Marketplace range $34.0M – $59.0M · 21× MRR multiple
💸
~276× return on build cost
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 |
| 📅 11.1y proven track record | +20% |
| ⭐ ★ rating ≥ 4.7 (premium) | +15% |
Final multiple
21× MRR
👥 Estimated audience size
1.9M
Lifetime downloads (US-equivalent)
Monthly active
115K
Daily active
23K
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
| 📲 Food & Drink engagement | ~100 installs / rating |
| 📅 11.1y of rating accumulation | -30% |
| 🔁 Food & Drink D30 retention | 14% |
| 📍 DAU / MAU stickiness | 0.20 |
DAU / MAU
20% sticky
🛠 Estimated tech stack
🍎
Native iOS (Swift / UIKit)
Medium confidence · 55%
Also possible
React Native
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
| 📦 App bundle size | 207 MB |
| 🏷 Category context | Food & Drink |
| 📦 Large iOS bundle | → Native Swift / UIKit (pre-2020 era) + assets |
💀 Maintenance status
Active
15%
Last shipped 2026-07-16 · 70 days ago
0 · Active
50 · At risk
100 · Abandoned
Heuristic risk score from time-since-last-update + ratings velocity proxy + Editor's Choice / curated featuring signals. Calibrated against 2024-2025 app-store ranking decay reports. Not a guarantee — a quiet app with a healthy codebase looks the same as an abandoned one until something breaks. Full math on /methodology.
Risk signals
| 📅 70 days since last update | Healthy release cadence |
Verdict
Active
🔬
How we forecast this revenue
MEDIUM CONFIDENCEBaseline
$2.2M/mo · ML-estimated from 234 triggers
Growth rate
+2.5% MoM · BIG tier baseline (compound monthly)
6 months
$2.2M – $2.9M
12 months
$2.3M – $3.6M
24 months
$2.8M – $5.2M
Compound growth at +2.5% MoM (tier baseline for BIG). Range widens with horizon — typical noise band ±15% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊
BU Investment Matrix
Mixed signals · 58/100BIG TIERcompetitive but cautiousGrowth Velocity
5.0
Founder Strength
6.1
Product Quality
9.7
Revenue Strength
6.3
Monetization Maturity
1.0
Defensibility
6.0
Market Position
2.0
Operational Safety
10.0
- 💰 Revenue: Healthy — $880K - $4840K/mo · BIG tier · medium-low confidence, trajectory unclear.
- ⭐ Quality: 4.83★ across 27,008 reviews — exceptional (top 1% in category).
- 📍 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 = $39.6M-$70.4M.
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
MODELRevenue 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 7 of 7 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Mid install base (27,008 ratings)METRIC | +$5,500 | |
| Paid app ($0.00)METRIC | +$2,800 | |
| Excellent rating (4.8★)METRIC | +$2,200 | |
| excellent appREVIEW | +$1,500 | |
| Mature app (11y old)METRIC | +$1,500 | |
| highly recommendREVIEW | +$1,400 | |
| slowREVIEW | −$1,200 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- 微信读书
- Developer
- Tencent Technology (Shenzhen) Company Limited
- Bundle ID
- com.tencent.weread
- App Store URL
- Open in App Store
- Category
- Food & Drink
- Content rating
- 4+
- Languages
- EN, ZH
Company
- Website
- Not found
- Tagline
- Today
- Description
- Find apps and games for iPhone, iPad, Mac, and more on the App Store.
- Founded
- Not found
- HQ / Address
- Not found
- Employees
- Not found
- Logo
- Available
Revenue
- Reported revenue signal / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- Model estimate / mo
- $2.2M/mo
- Top-grossing rank
- 🇨🇦#14 /100 🇦🇺#20 /100 🇩🇪#30 /100 🇺🇸#32 /100 🇬🇧#39 /100 🇧🇷#39 /100 🇫🇷#44 /100
- 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 growth27,600 ratings+7545% lifetimeShow 3-year history estimate ▾
Tracked (60 weeks) Pre-tracking estimate (0 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Top Countries — Grossing Rank8 countries
🇨🇦CA#14 /100
🇦🇺AU#20 /100
🇩🇪DE#30 /100
🇺🇸US#32 /100
🇬🇧GB#39 /100
🇧🇷BR#39 /100
🇫🇷FR#44 /100
🇯🇵JP#50 /100
📊Category Rank Trajectory#14 now · best #14 · worst #100
Lower line = better rank · Estimate from ratings growth model · Lower position on chart = worse rank · Higher = top of chart
🚀Update Frequency · Releases per Quarter4 releases tracked
🚀Version Release Timeline4 releases tracked
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
「微信读书」是微信官方阅读应用，提供海量优质书籍和流畅的阅读体验，帮你记录阅读数据和读书笔记，更有丰富的 AI 功能，让阅读更轻松。
【发现优质好书】
提供百万优质正版书籍、品类丰富的书籍榜单和海量主题书单，帮你快速找到优质好书。
【书中讨论交流】
阅读时可浏览其他读者的观点，参与讨论，分享阅读心得，和书友碰撞出更多火花。
【随时随地听书】
海量正版书籍支持全文朗读，更有丰富的书籍讲解和有声书，随时随地解放双眼。
【记录阅读数据】
记录每日阅读数据，支持便捷查阅读书历史和笔记，随时回顾每一步的阅读历程。
【提升阅读效率】
AI 让阅读更轻松，你可以通过「AI 导读」快速了解书籍内容，也能「AI 问书」获得专业的概念解释。
更多信息请访问：
微信读书官方网站：https://weread.qq.com
在微信中搜索并关注“微信读书”公众号，获得更多阅读讯息
微信读书付费会员卡自动续费服务说明
【订阅周期】
连续包月产品，月卡（1个月），季卡（3个月），年卡（12个月）
【订阅价格】
连续包月 19元/月，月卡 30元/月，季卡 60元/季，年卡 228元/年
【付款】
用户确认购买并付款后记入 iTunes 账户
【自动续订】
苹果 iTunes 账户会在到期前24小时内扣费，扣费成功后，顺延一个订阅周期
【取消自动续订】… View full description on the official store →
【发现优质好书】
提供百万优质正版书籍、品类丰富的书籍榜单和海量主题书单，帮你快速找到优质好书。
【书中讨论交流】
阅读时可浏览其他读者的观点，参与讨论，分享阅读心得，和书友碰撞出更多火花。
【随时随地听书】
海量正版书籍支持全文朗读，更有丰富的书籍讲解和有声书，随时随地解放双眼。
【记录阅读数据】
记录每日阅读数据，支持便捷查阅读书历史和笔记，随时回顾每一步的阅读历程。
【提升阅读效率】
AI 让阅读更轻松，你可以通过「AI 导读」快速了解书籍内容，也能「AI 问书」获得专业的概念解释。
更多信息请访问：
微信读书官方网站：https://weread.qq.com
在微信中搜索并关注“微信读书”公众号，获得更多阅读讯息
微信读书付费会员卡自动续费服务说明
【订阅周期】
连续包月产品，月卡（1个月），季卡（3个月），年卡（12个月）
【订阅价格】
连续包月 19元/月，月卡 30元/月，季卡 60元/季，年卡 228元/年
【付款】
用户确认购买并付款后记入 iTunes 账户
【自动续订】
苹果 iTunes 账户会在到期前24小时内扣费，扣费成功后，顺延一个订阅周期
【取消自动续订】… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →💾 207 MB🔞 4+📱 iOS 14.0+🔖 v10.2.1🔄 updated 2mo ago🌐 EN, ZH📂 Food & Drink💰 Paid🚀 Launched 2015 (11y old)
📅
What Worked™ · Development Pipeline
20 EVENTS TRACKEDDetected changes in this app over its tracked lifetime — each event links cause (what changed) to effect (what moved). Sorted newest first.See full history →Version history →
2026-08
📸
Refreshed store screenshots — 4 of 4 updated
→ 30 days after: reviews +151 high confidence
2026-07
🔧
Shipped update — v10.2.0 → v10.2.1
→ 30 days after: reviews +130 high confidence
2026-07
📸
Updated 2 store screenshots
→ 30 days after: reviews +130 high confidence
2026-06
🔧
Shipped update — v10.1.1 → v10.2.0
→ 30 days after: reviews +136 high confidence
2026-06
📸
Refreshed store screenshots — 4 of 4 updated
→ 30 days after: reviews +136 high confidence
2026-05
🔧
Shipped update — v10.1.0 → v10.1.1
→ 30 days after: reviews +171 medium · co-occurring
2026-05
📈
Crossed 1,000 ratings — social-proof flywheel kicking in
→ 30 days after: reviews +171 medium · co-occurring
2026-05
⭐
Rating ↑ 4.04 → 4.83 (improved 0.79★)
→ 30 days after: reviews +171 medium · co-occurring
2026-03
📈
Crossed 500 ratings — social-proof flywheel kicking in
→ 30 days after: revenue −$594K/mo · rating −0.76★ · reviews −26,173 low · multiple changes
2026-03
⭐
Rating ↓ 4.80 → 4.04 (dropped 0.76★)
→ 30 days after: revenue −$594K/mo · rating −0.76★ · reviews −26,173 low · multiple changes
2026-03
📈
Crossed 500 ratings — social-proof flywheel kicking in
→ 30 days after: revenue −$594K/mo · rating −0.76★ · reviews −26,173 medium · co-occurring
2026-03
⭐
Rating ↑ 4.04 → 4.80 (improved 0.76★)
→ 30 days after: revenue −$594K/mo · rating −0.76★ · reviews −26,173 medium · co-occurring
2020-09
📈
Crossed 100 ratings — social-proof flywheel kicking in
→ 30 days after: revenue +$536/mo · reviews +24 medium · co-occurring
2020-09
📈
Crossed 100 ratings — social-proof flywheel kicking in
→ 30 days after: revenue +$1.3K/mo · rating −0.05★ · reviews +56 medium · co-occurring
2020-08
📈
Crossed 50 ratings — social-proof flywheel kicking in
→ 30 days after: revenue +$720/mo · reviews +32 high confidence
2020-08
📈
Crossed 50 ratings — social-proof flywheel kicking in
→ 30 days after: revenue +$971/mo · reviews +43 high confidence
2020-07
🚀
First tracked snapshot — initial data captured
→ 30 days after: revenue +$971/mo · reviews +43 high confidence
2020-07
⭐
Rating ↓ 5.00 → 4.60 (dropped 0.40★)
2020-07
📈
Crossed 10 ratings — social-proof flywheel kicking in
2020-07
🚀
First tracked snapshot — initial data captured
📸
Store Page History
10 SCREENSHOT CHANGESEvery time a developer swaps a store screenshot we archive both versions. Compare side-by-side to see what messaging / visuals changed.
iPad screenshots
Slot 1
3 ver.
3 ver.
2026-05-13
2026-06-15
2026-08-16
Slot 2
3 ver.
3 ver.
2026-05-13
2026-06-15
2026-08-16
iPhone screenshots
Slot 1
4 ver.
4 ver.
2026-05-13
2026-06-15
2026-07-16
2026-08-16
Slot 2
4 ver.
4 ver.
2026-05-13
2026-06-15
2026-07-16
2026-08-16
🌍
Multi-Country Performance
Available in 8 of 9 monitored markets| Market | Rating | Reviews | Current version |
|---|---|---|---|
| 🇦🇺 AU | 4.82704★ | 6,626 | 4.82704★ this version |
| 🇧🇷 BR | 4.88889★ | 45 | 4.88889★ this version |
| 🇨🇦 CA | 4.82754★ | 9,771 | 4.82754★ this version |
| 🇩🇪 DE | 4.83★ | 1,553 | 4.83★ this version |
| 🇫🇷 FR | 4.8101★ | 1,148 | 4.8101★ this version |
| 🇬🇧 GB | 4.86228★ | 2,614 | 4.86228★ this version |
| 🇯🇵 JP | 4.77335★ | 6,596 | 4.77335★ this version |
| 🇺🇸 US | 4.83086★ | 27,611 | 4.83086★ this version |
🔔
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📝 Description
95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for 微信读书: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
More by Tencent Technology (Shenzhen) Company Limited
View all →📦 Portfolio summaryBIG studio
5apps·$2.2M/mocombined
⚠ Concentrated — top app contributes 99% of combined revenue (single-app dependency)
About this analysis
Why high confidence: 27,008 ratings · no founder-verified revenue (model estimate only).
❓ Frequently Asked Questions
10 answers · auto-generated from this app's public dataHow much does 微信读书 make per month?▴
Based on our ML-calibrated revenue forecast, 微信读书 earns approximately $2.2M/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.
Is 微信读书 profitable?▴
With estimated build cost $165K and monthly revenue $2.2M, 微信读书 looks highly profitable — pays back its build investment in under a month at the current run-rate. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.
How many users does 微信读书 have?▴
Estimated audience: ~1.9M lifetime downloads, ~115K monthly active users, and ~23K 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 微信读书?▴
Browse the full Food & Drink 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 微信读书 built with?▴
Our heuristic places 微信读书 on the Native iOS (Swift / UIKit) stack (Medium confidence, 55%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: React Native, Flutter.
Is 微信读书 still actively maintained?▴
Maintenance status: Active (15% abandonment risk). Last shipped version was 2 months ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.
How much would 微信读书 sell for?▴
Estimated acquisition value: $45.5M (marketplace range $34.0M – $59.0M). Calculated as 21× monthly revenue using the standard multiple for the detected monetization model + adjustments for age, rating quality and category demand. Calibrated against 2024-2026 Flippa / Acquire.com / MicroAcquire closed-deal medians.
When was 微信读书 last updated?▴
微信读书 last shipped a new version on 2026-07-16 — 2 months ago. This is the date Apple / Google last accepted a new build, not a content-only push.
Who makes 微信读书?▴
微信读书 is published by Tencent Technology (Shenzhen) Company Limited on the Apple App 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 微信读书's BU Score?▴
微信读书 has a BU Score of 80/100 (Excellent). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.