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Criar Referencias TCC

✍️ Editor
✍️ bumetric analysis

Criar Referencias TCC is an Android app from EMRMB Apps in the Tools category, currently rated across few ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.

Our BU Score puts it at 0: Niche (micro-niche or pre-traction stage). For a Tools 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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idle
0%
Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
0
since first record
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.

📈 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.
App Specs
🔐 Own this app? Claim & verify MRR →
🔖 vVaries with device📂 Tools💰 Free📺 Ad-supported🚀 Launched 2020 (5y old)

📝 About this app

simple application to create a reference for your academic work in ABNT rules.

simple reference for course completion work

Just put the information in the appropriate fields and the app organizes in the right order for your monograph reference.

Fields:
*Name
*Surname
*Title
*Subtitle
*Area
N * of Pages
* City of publication
*Educational institution
* Date of publication

The application still has the ability to copy and paste, after creating the reference just click on it that will already be copied, then you can paste in your college work.

Profile & Insights

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

Identification

App name
Criar Referencias TCC
Developer
EMRMB Apps
Bundle ID
referencia.tcc.emrmbapps
App Store URL
Open in App Store
Category
Tools
Content rating
Not found
Languages
Not found

Company

Website
emrmbaplicativos.blogspot.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
$82/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
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 EMRMB Apps

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Similar apps in Tools

Full revenue analysis
Read the article-style breakdown for Criar Referencias TCC: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Read deep-dive →
📊

BU Investment Matrix

Avoid · 38/100structurally challenged
Revenue Strength
1.9
Product Quality
0.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
6.5
Operational Safety
10.0
Founder Strength
6.1
Monetization Maturity
1.0
  • 💰 Revenue: Marginal ($82/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 = $1K-$2K. Portfolio play ($4K/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.