How much does KJSEA English Grade 9 Notes make per month?

Low-confidence model estimate. KJSEA English Grade 9 Notes has only 0 App Store ratings, so our revenue model has very little signal to work with — treat the ~$500/mo figure as directional only, not a verified MRR. No founder-verified revenue data is available for this app. See methodology for the formula and confidence bands.

What is KJSEA English Grade 9 Notes built with?

Our heuristic places KJSEA English Grade 9 Notes 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 KJSEA English Grade 9 Notes?

KJSEA English Grade 9 Notes is published by samson mbugua 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.

KJSEA English Grade 9 Notes

Quality Score

Niche

KJSEA English Grade 9 Notes

Name: KJSEA English Grade 9 Notes — app revenue, audience, build cost & risk profile
Creator: Bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: KJSEA English Grade 9 Notes revenue, KJSEA English Grade 9 Notes app analytics, mobile app revenue estimate, mobile app revenue, Android app revenue

by samson mbugua

Low confidence

— Google Play rating

✍️ Bumetric analysis

“

KJSEA English Grade 9 Notes is an Android app from samson mbugua, currently rated — across few ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.

Quality Score is 0: Niche (micro-niche or pre-traction stage). For an app like this, that means micro-niche or pre-traction stage. 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.

📊 Performance Tracking LIVE

1 snapshots on record

idle

Rating

—

Reviews

0 reviews

Forecast Revenue / mo

$500

Snapshots tracked

since Jul 2026

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.

📥 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: KJSEA English Grade 9 Notes
Developer: samson mbugua
Bundle ID: com.the.s_std5_english_notes
App Store URL: Not found
Category: Not found
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

Reported revenue signal / mo: Not found
AI revenue estimate / mo: Not found
AI annual estimate: Not found
Model estimate / mo: $500/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.

📝 About this app

KJSEA GRADE 9 ENGLISH NOTES is a comprehensive learning companion designed to help both students and teachers prepare effectively for English under the CBC and CBE curriculum standards. This app provides well-organized English notes, enriched with clear explanations, pictures, and practical examples to make learning engaging and easy to understand.

Alongside the notes, the app includes exercises with answers to help learners test their knowledge and strengthen exam readiness. The content is structured to align with CBC and CBE guidelines, ensuring it is relevant to the KJSEA syllabus.… View full description on the official store →

App Specs

🔐 Own this app? Claim & verify MRR →

🔖 vVaries with device💰 Free / Ads / IAP

🔔

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ONE-TIME · BUILD 💰 Estimated build cost

$80K

↳ What it cost to build · not monthly revenue

Likely range $60K – $110K

$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
🌐 Cross-platform reach (iOS + Android)	+$27K

Total estimate $80K

ONE-TIME · EXIT VALUE 💵 Estimated acquisition value

$10K

↳ What it would sell for · not monthly revenue

Marketplace range $5K – $10K · 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

Final multiple 15× MRR

🛠 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