0
BU Score
Niche
Loksewa Capsule
✍️ bumetric analysis
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Loksewa Capsule is an Android app from Ara Tech Solution in the Education category, currently rated — across few ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Our BU Score puts it at 0: Niche (micro-niche or pre-traction stage). For a Education app, that means micro-niche or pre-traction stage.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
📊 Performance Tracking LIVE
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Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
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.
📈 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.
App Specs
🔐 Own this app? Claim & verify MRR →🔖 vVaries with device📂 Education💰 Free🚀 Launched 2020 (5y old)
📝 About this app
Loksewa Capsule is a free app in play store. This app describes categories like Computer, Kharidar, Subba, Adhirkit, Civil Engineering and more. In the beginning, this app consists of limited questions with their answers, but this app is updated frequently and users can enjoy and learn more & more with many fields more questions and answers. Users can play quiz in Online and Offline Mode. They can test themselves for their capacity and knowledge in them. This Loksewa Capsule is one of the best apps available in play store for all beginners and learners.… View full description on the official store →
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Loksewa Capsule
- Developer
- Ara Tech Solution
- Bundle ID
- com.aratech.loksewaCapsule
- App Store URL
- Open in App Store
- Category
- Education
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- aratechsolution.com
- 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
- $157/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
- Name
- Not found
- X / Twitter
- Not found
- Not found
- GitHub
- Not found
- X followers
- Not found
- Public statements
- Not found
Funding
- Total raised
- Not found
- Last round
- Not found
- Investors
- Not found
- Crunchbase
- Not found
- AngelList
- Not found
Press & Links
- Articles found
- Not found
- Listed on
- Not found
- Blog
- Not found
- Press / News
- Not found
Contacts & Socials
- Socials
- Not found
- Not found
- Phone
- Not found
- Contact page
- Not found
- About page
- Not found
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.
Full revenue analysis
Read the article-style breakdown for Loksewa Capsule: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
📊
BU Investment Matrix
Avoid · 31/100structurally challengedRevenue Strength
2.2
Product Quality
0.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
3.4
Operational Safety
10.0
Founder Strength
3.2
Monetization Maturity
1.0
- 💰 Revenue: Marginal ($157/mo, trajectory unclear).
- ⭐ Quality: None★ across 0 reviews — weak — significant quality concerns.
- 📍 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 = $2K-$5K.
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.