
48
Quality Score
Emerging
Raspberry Pi Workshop
✍️ bumetric analysis
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Raspberry Pi Workshop is an Android app from Peter Ho in the Education category, currently rated 3.8★ across 91 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Quality Score is 48: Emerging (early traction worth watching). For a Education 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.
💰 Revenue · today and ahead
Today
$5.0K/mo
In 12 months
$5.2K – $10.8K
In 24 months
$6.4K – $19.2K
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
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Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
🔬
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
Below median · 54/100MID TIERunderperforming peersRevenue Strength
3.7
Product Quality
3.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
8.9
Operational Safety
10.0
Founder Strength
7.3
Monetization Maturity
5.0
- 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
- ⭐ Quality: 3.79★ across 91 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 = $90K-$160K. Portfolio play ($70K/mo combined) commands premium.
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 3 of 3 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Established app (5y old)METRIC | +$800 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Pre-traction phase (91 ratings)METRIC | −$300 |
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.
App Specs
🔐 Own this app? Claim & verify MRR →🔖 v2.0.00🔄 updated 4mo ago📂 Education💰 Free📺 Ad-supported💎 IAP $1.99 - $4.99 per item🚀 Launched 2020 (5y old)
📝 About this app
<b>Features</b>
1. Display projects
• Character LCM 16x2
• I2C OLED 96x64, SPI OLED 96x64
• TFT 176x220
2. Sensors Projects
• DHT11 (temperature and humidity)
• BMP280 (pressure)
• 18B20 (1-wire temperature sensor)
• MPU6050 (accelerator + gyroscope)
3. Automation projects
• Home automation using browser
• Home automation using bluetooth
• Home automation using bluetooth LE
• Home automation using LoRa
4. Internet-of-Things Projects… View full description on the official store →
1. Display projects
• Character LCM 16x2
• I2C OLED 96x64, SPI OLED 96x64
• TFT 176x220
2. Sensors Projects
• DHT11 (temperature and humidity)
• BMP280 (pressure)
• 18B20 (1-wire temperature sensor)
• MPU6050 (accelerator + gyroscope)
3. Automation projects
• Home automation using browser
• Home automation using bluetooth
• Home automation using bluetooth LE
• Home automation using LoRa
4. Internet-of-Things Projects… View full description on the official store →
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Raspberry Pi Workshop
- Developer
- Peter Ho
- Bundle ID
- com.peterhohsy.rpi_workshop
- App Store URL
- Open in App Store
- Category
- Education
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- peterho386.weebly.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
- $121/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- $1.99 - $4.99 per item
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.
📈Ratings growth91 ratings+78% lifetimeShow 3-year history estimate ▾
Tracked (1 weeks) Pre-tracking estimate (36 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.
More by Peter Ho
View all →📦 Portfolio summaryINDIE studio
55apps·$70K/mocombined
✓ Diversified — top app contributes 8%; risk spread across portfolio
Full revenue analysis
Read the article-style breakdown for Raspberry Pi Workshop: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.


