Speak4Me
38
Quality Score
Emerging
✍️ Bumetric analysis
“
Speak4Me is an Android app from PLUS INFOSYS in the Books & Reference category, currently rated 2.7★ across 121 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.
Quality Score is 38: 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
1 snapshots on record
Rating
2.7
Reviews
121 reviews
Forecast Revenue / mo
$5.0K
Snapshots tracked
1
since Jul 2026
ONE-TIME · BUILD
💰 Estimated build cost
$125K
↳ What it cost to build · not monthly revenue
Likely range $95K – $170K
$25K · MVP floor
$100K · indie scale
$500K+ · studio build
📈
Pays back in ~2.1y 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 |
| ⚙ Books & Reference complexity ×0.95 | $-2525 |
| 🌐 Cross-platform reach (iOS + Android) | +$26K |
| ⚙ 8.4y maintenance × ~1-person team | +$50K |
Total estimate
$125K
ONE-TIME · EXIT VALUE
💵 Estimated acquisition value
$75K
↳ What it would sell for · not monthly revenue
Marketplace range $50K – $75K · 13× MRR multiple
💸
~0.6× 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 |
| 📅 8.4y proven track record | +20% |
| ⭐ ★ rating < 3.5 (weak) | -18% |
| 🏷 Books & Reference category multiple | -2% |
| ⭐ Small user base (<1K ratings) | -8% |
Final multiple
13× MRR
👥 Estimated audience size
9.3K
Lifetime downloads (US-equivalent)
Monthly active
570
Daily active
110
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 |
| 📅 8.4y of rating accumulation | -30% |
| 🔁 Books & Reference D30 retention | 10% |
| 📍 DAU / MAU stickiness | 0.20 |
DAU / MAU
19% sticky
🛠 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
| 🏷 Category context | Books & Reference |
| 📦 Compact Android bundle | → Native Kotlin |
💀 Maintenance status
Likely abandoned
82%
Last shipped 2024-12-31 · 638 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
| 📅 1y 9mo since last update | Likely deprioritized |
| 👥 Small user base (121 ratings) + 8.4y old | +10% (solo-project pattern) |
Verdict
Likely abandoned
🔬
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)
Direction
Headwinds: rating drift may slow acquisition
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
Stalled · 38/100MID TIERno growth momentumGrowth Velocity
5.0
Founder Strength
4.7
Product Quality
3.8
Revenue Strength
3.7
Monetization Maturity
1.0
Defensibility
7.1
Market Position
0.0
Operational Safety
5.0
- 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
- ⭐ Quality: 2.71★ across 121 reviews — weak — significant quality concerns.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: ⚠ last update 636d ago — possibly dormant.
- ⚠️ Risk: Elevated — dormant (636d 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 (2.7★)METRIC | −$1,500 | |
| Mature app (8y old)METRIC | +$1,500 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Early-stage install base (121 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
- Speak4Me
- Developer
- PLUS INFOSYS
- Bundle ID
- com.plusinfosys.speak4me
- App Store URL
- Open in App Store
- Category
- Books & Reference
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- www.plusinfosys.com
- 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
- $5.0K/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
Speak4Me speak PDF for you anytime and anywhere, a charming interface with an awesome UI allow you to view PDF easily.
You can Listen and read books together with Speak4me.
Now you can listen to a good book even when you are at the gym or at folding laundry or travelling or any other time.
It is always good and more interactive when you listen the speaking book what you read. Speak For Me App is very useful for reading pdfs.
Features:
Pause/Resume speech as needed, plus click Next/Previous buttons to jump by sentence.… View full description on the official store →
You can Listen and read books together with Speak4me.
Now you can listen to a good book even when you are at the gym or at folding laundry or travelling or any other time.
It is always good and more interactive when you listen the speaking book what you read. Speak For Me App is very useful for reading pdfs.
Features:
Pause/Resume speech as needed, plus click Next/Previous buttons to jump by sentence.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →🔖 v1.6🔄 updated 1y ago📂 Books & Reference💰 Free📺 Ad-supported🚀 Launched 2018 (8y old)
🧪
Tech & Domain Intel — plusinfosys.com
- Mail provider
- Google Workspace
- Tech stack
- Google Workspace
Derived from public RDAP + DNS TXT records (no scraping, no login).
🔔
Track this app’s revenue
FREEGet an email when revenue moves by your threshold. No spam, unsubscribe in one click.
📝 Description
95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for Speak4Me: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
More by PLUS INFOSYS
View all →📦 Portfolio summaryINDIE studio
6apps·$12K/mocombined
✓ Diversified — top app contributes 42%; risk spread across portfolio
About this analysis
Why medium confidence: 121 ratings · no founder-verified revenue (model estimate only).
❓ Frequently Asked Questions
10 answers · auto-generated from this app's public dataHow much does Speak4Me make per month?▴
Based on our ML-calibrated revenue forecast, Speak4Me earns approximately $5.0K/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 Speak4Me profitable?▴
With estimated build cost $125K and monthly revenue $5.0K, Speak4Me looks break-even-grade — payback period sits around 2.1 years. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.
How many users does Speak4Me have?▴
Estimated audience: ~9K lifetime downloads, ~570 monthly active users, and ~110 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 Speak4Me?▴
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.
What is Speak4Me built with?▴
Our heuristic places Speak4Me 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.
Is Speak4Me still actively maintained?▴
Maintenance status: Likely abandoned (82% abandonment risk). Last shipped version was 1+ years ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.
How much would Speak4Me sell for?▴
Estimated acquisition value: $75K (marketplace range $50K – $75K). Calculated as 13× 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 Speak4Me last updated?▴
Speak4Me last shipped a new version on 2024-12-31 — more than 1 year(s) ago. This is the date Apple / Google last accepted a new build, not a content-only push.
Who makes Speak4Me?▴
Speak4Me is published by PLUS INFOSYS 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 Speak4Me's BU Score?▴
Speak4Me has a BU Score of 38/100 (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.