Python 3.7 Docs
42
Quality Score
Emerging
✍️ bumetric analysis
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Python 3.7 Docs is an Android app from NextLabs.cc in the Books & Reference category, currently rated 3.2★ across 108 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.
Quality Score is 42: Emerging (early traction worth watching). For a Books & Reference app, that means early traction worth watching. 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
$5.0K
per month
→
12-mo forecast
$5.2K – $10.8K
per month
→
24-mo forecast
$6.4K – $19.2K
per month
MID 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
Loading…
Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
ONE-TIME · BUILD
💰 Estimated build cost
$90K
↳ What it cost to build · not monthly revenue
Likely range $70K – $120K
$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 |
| 💎 In-app purchase plumbing | +$9K |
| ⚙ Books & Reference complexity ×0.95 | $-2975 |
| 🌐 Cross-platform reach (iOS + Android) | +$31K |
Total estimate
$90K
👥 Estimated audience size
11K
Lifetime downloads (US-equivalent)
Monthly active
1.1K
Daily active
220
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
| 📲 Books & Reference engagement | ~110 installs / rating |
| 🔁 Books & Reference D30 retention | 10% |
| 📍 DAU / MAU stickiness | 0.20 |
DAU / MAU
20% sticky
🔬
How we forecast this revenue
MEDIUM CONFIDENCEBaseline
$5.0K/mo · ML-estimated from 234 triggers
Growth rate
+4.0% MoM · MID tier baseline (compound monthly)
6 months
$4.7K – $7.9K
12 months
$5.2K – $10.8K
24 months
$6.4K – $19.2K
Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon — typical noise band ±25% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊
BU Investment Matrix
Below median · 48/100MID TIERunderperforming peersRevenue Strength
3.7
Product Quality
4.4
Market Position
0.0
Growth Velocity
5.0
Defensibility
9.6
Operational Safety
5.0
Founder Strength
5.7
Monetization Maturity
5.0
- 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
- ⭐ Quality: 3.17★ across 108 reviews — weak — significant quality concerns.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: ⚠ last update 2286d ago — possibly dormant.
- ⚠️ Risk: Elevated — dormant (2286d since update).
🎯 For competitors: Vulnerable. Quality drift + slow updates create a clear opening for a fresh competitor with active dev cadence.
💵 For acquirers: Estimated asking range 18-32× monthly = $90K-$160K.
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 4 of 4 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Below-average rating (3.2★)METRIC | −$1,500 | |
| Mature app (8y old)METRIC | +$1,500 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Early-stage install base (108 ratings)METRIC | +$400 |
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
- Python 3.7 Docs
- Developer
- NextLabs.cc
- Bundle ID
- cc.nextlabs.python_3_6
- App Store URL
- Open in App Store
- Category
- Books & Reference
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- www.nextlabs.cc
- 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
- $57/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- $1.99 per item
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 growth108 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
Python 3.7 Documentation
Table of Content
What's new in Python 3.7?
1. Whetting Your Appetite
2. Using the Python Interpreter
3. An Informal Introduction to Python
4. More Control Flow Tools
5. Data Structures
6. Modules
7. Input and Output
8. Errors and Exceptions
9. Classes
10. Brief Tour of the Standard Library
11. Brief Tour of the Standard Library — Part II
12. Virtual Environments and Packages
13. What Now?
14. Interactive Input Editing and History Substitution
15. Floating Point Arithmetic: Issues and Limitations
16. Appendix
Installing Python Modules… View full description on the official store →
Table of Content
What's new in Python 3.7?
1. Whetting Your Appetite
2. Using the Python Interpreter
3. An Informal Introduction to Python
4. More Control Flow Tools
5. Data Structures
6. Modules
7. Input and Output
8. Errors and Exceptions
9. Classes
10. Brief Tour of the Standard Library
11. Brief Tour of the Standard Library — Part II
12. Virtual Environments and Packages
13. What Now?
14. Interactive Input Editing and History Substitution
15. Floating Point Arithmetic: Issues and Limitations
16. Appendix
Installing Python Modules… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →🔖 v1.1.0🔄 updated 0d ago📂 Books & Reference💰 Free📺 Ad-supported💎 IAP $1.99 per item
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📝 Description
95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for Python 3.7 Docs: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
More by NextLabs.cc
View all →📦 Portfolio summaryINDIE studio
40apps·$1K/mocombined
✓ Diversified — top app contributes 13%; risk spread across portfolio
About this analysis
Why medium confidence: 108 ratings · no founder-verified revenue (model estimate only).
❓ Frequently Asked Questions
4 answers · auto-generated from this app's public dataHow much does Python 3.7 Docs make per month?▴
Based on our ML-calibrated revenue forecast, Python 3.7 Docs earns approximately $248/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 Python 3.7 Docs?▴
Browse the full Books & Reference 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 Python 3.7 Docs?▴
Python 3.7 Docs is published by NextLabs.cc 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 Python 3.7 Docs's BU Score?▴
Python 3.7 Docs has a BU Score of 42/100 (Emerging). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.