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77
BU Score
Strong

WolframAlpha Classic

4.3 ✍️ Editor
✍️ BU Analytics Review

WolframAlpha Classic is an Android app from Wolfram Group LLC in the Books & Reference category, currently rated 4.3★ across 41,264 ratings. Initial signal reads as mixed reviews — supporters praise core features while critics cite stability/value gaps.

Our BU Score puts it at 77Strong (healthy traction). For a Books & Reference app, that means healthy traction.

Track changes month-over-month in the Performance section below — live snapshot history and revenue forecast included.

📊 Performance Tracking LIVE

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idle
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Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
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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.
🔬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:
Mid install base (41,264 ratings)METRIC
+$5,500
Paid app ($2.99)METRIC
+$2,800
Mature app (15y old)METRIC
+$1,500
Good rating (4.3★)METRIC
+$800
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 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.
App Specs
🔐 Own this app? Claim & verify MRR →
🔖 v1.4.27.20260311581🔄 updated 1mo ago📂 Books & Reference💰 Free🚀 Launched 2010 (15y old)

📝 About this app

Use the power of Wolfram's computational intelligence to answer your questions. Building on 35+ years of development led by Stephen Wolfram, Wolfram|Alpha is the world's definitive source for instant expert knowledge and computation.

Across thousands of domains—with more continually added—Wolfram|Alpha uses its vast collection of algorithms and data to compute answers and generate reports for you.

Use Wolfram|Alpha to compute the following and much more:
• Identify a plane: "Flights overhead"
• Find out weather: "Weather last New Year's"
• Get information on movies: "Movies with Keanu Reeves and Sandra Bullock"
• Get financial insight: "APPL vs. MSFT"
• Calculate units and measurements: "Seconds in a nanocentury"
• Get trivia answers: "Number of tennis balls that can fit in a Boeing 747"
• Find nutritional information: "Whopper vs. Big Mac"
• Get fitness information: "Running calculator"
• Have fun: "Tell me a joke"

Privacy policy: https://www.wolfram.com/legal/privacy/wolfram

Terms of use: https://www.wolframalpha.com/termsofuse

Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name
WolframAlpha Classic
Developer
Wolfram Group LLC
Bundle ID
com.wolfram.android.alpha
App Store URL
Open in App Store
Category
Books & Reference
Content rating
Not found
Languages
Not found

Company

Website
www.wolframalpha.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
$26.3K/mo
Top-grossing rank
Not found
All-time revenue
Not found
Pricing
Not found

Founder

Name
Not found
X / Twitter
Not found
LinkedIn
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
Email
Not found
Phone
Not found
Contact page
Not found
About page
Not found
📈Ratings growth41,264 ratings+21% lifetimeShow 3-year history estimate ▾May 2023Dec 2024May 2026
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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