
53
BU Score
Solid
English to Filipino Dictionary
✍️ BU Analytics Review
“
English to Filipino Dictionary is an Android app from Pakat Apps in the Books & Reference category, currently rated 3.7★ across 1,862 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Our BU Score puts it at 53 — Solid (established niche player). For a Books & Reference app, that means established niche player.
Track changes month-over-month in the Performance section below — live snapshot history and revenue forecast included.
creator
📊 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.
🔬Forecast Breakdown — Why This Estimate?Top 3 of 3 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Low install base (1,862 ratings)METRIC | +$1,500 | |
| Mature app (9y old)METRIC | +$1,500 | |
| Ad-supported / freemiumMETRIC | +$600 |
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.
🗓️ Snapshot Timeline
HISTORYEach bar shows a tracked update and the metric delta from the previous snapshot.
App Specs
🔐 Own this app? Claim & verify MRR →🔖 v1.4.9🔄 updated 10mo ago📂 Books & Reference💰 Free📺 Ad-supported🚀 Launched 2016 (9y old)
📝 About this app
A lightweight and easy-to-use English to Filipino Dictionary designed for quick reference and flexibility. With over 15,600+ words, this app is perfect for students, professionals, and anyone who wants to improve their vocabulary.
Key Features:
• Add your own words and translations
• Edit or update existing entries
• Permanently delete words or move them to the Recycle Bin
• Copy words and meanings to the clipboard
• Restore deleted words from the Recycle Bin
• Share words and their meanings with others
• Instantly display word suggestions while typing
• Listen to word pronunciations with Text-to-Speech
• Fully functional offline – no internet required
Key Features:
• Add your own words and translations
• Edit or update existing entries
• Permanently delete words or move them to the Recycle Bin
• Copy words and meanings to the clipboard
• Restore deleted words from the Recycle Bin
• Share words and their meanings with others
• Instantly display word suggestions while typing
• Listen to word pronunciations with Text-to-Speech
• Fully functional offline – no internet required
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- English to Filipino Dictionary
- Developer
- Pakat Apps
- Bundle ID
- net.fileden.dictionary
- App Store URL
- Open in App Store
- Category
- Books & Reference
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- fileden.net
- 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
- $679/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
📈Ratings growth1,862 ratings+26% lifetimeShow 3-year history estimate ▾
Tracked (1 weeks) Pre-tracking estimate (37 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.
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