---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Toronto Real Estate by Jorgina"
developer_entity: "Scott Kowalczewski"
bundle_id: "com.kowalczewski.jorgina"
app_store_id: "6473794001"
category: "Lifestyle"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2025-03-10"
report_date: "2026-05-04"
report_version: "3"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 59
intelligence_version: 2
tags: ["lifestyle", "free", "mobile app", "app review", "app analysis", "prospective", "homebuyers,", "renters,"]
canonical_url: "https://marlvel.ai/apps/toronto-real-estate-by-jorgina"
license: "CC-BY-NC 4.0"
content_version: "v2"
last_verified: "2026-05-04T08:55:00.909Z"
---

# Toronto Real Estate by Jorgina App Audit

## TL;DR {#tldr}

- **Category**: Lifestyle · Free

> **TL;DR:** Toronto Real Estate by Jorgina is a lifestyle app by Scott Kowalczewski, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Toronto Real Estate by Jorgina is a lifestyle app by Scott Kowalczewski.
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## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Lifestyle |
| **Developer** | Scott Kowalczewski |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 59d |

## Metadata & Market Performance
- **Publisher:** Scott Kowalczewski
- **Category:** Lifestyle
- **Target Audience:** Prospective homebuyers, renters, and real estate investors operating within the Toronto market.
- **Platforms:** iOS & Android
- **Version Audited:** 3
- **Audit Date:** 2026-05-04
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 6473794001
- **Bundle ID:** com.kowalczewski.jorgina
- **Google Play ID:** com.kowalczewski.jorgina
- **Data Window:** Analysis based on signals collected up to 2026-05-04
- **Short Description:** Search for homes or sold statistics in the Toronto Area.

<!-- section:executive-snapshot -->
## Executive Snapshot
Toronto Real Estate by Jorgina is a real estate search tool that provides access to Toronto Regional Real Estate Board (TRREB) listings for buyers and investors. The app facilitates property discovery through saved searches and provides market transparency via historical sold statistics.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] MLS Listings:** Provides access to all homes available for sale or lease through the Toronto Regional Real Estate Board.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Saved Searches and Homes:** Allows users to bookmark specific properties and receive notifications when new listings hit the market.
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
- **[Standard] Sold Statistics:** Displays data on sold volume, average sold prices, and average days on market for specific areas.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Free

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Toronto Real Estate by Jorgina is an established lifestyle app that is completely free.

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> **Bottom Line:** This app serves as a localized portal for Toronto real estate data, requiring users to confirm a bona fide interest in property transactions to access listings.
<!-- speakable-end -->

**Best for:** Prospective homebuyers, renters, and real estate investors operating within the Toronto market.

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Toronto Real Estate by Jorgina** (this app) | N/A/5 | N/A | Scott Kowalczewski |
| [Alarmy - Loud alarm clock](https://marlvel.ai/apps/alarmy-loud-alarm-clock) | 4.8/5 | Excited | Delight Room Co., Ltd. |
| [Tinder Dating App: Date & Chat](https://marlvel.ai/apps/tinder-dating-app-date-chat) | 4.2/5 | Upset | Tinder LLC |
| [AlarmMon ( alarm clock )](https://marlvel.ai/apps/alarmmon-alarm-clock) | 4.2/5 | Frustrated | Malang Studio Co. Ltd, |
| [Swiftime](https://marlvel.ai/apps/swiftime) | 4.5/5 | Excited | MEDIANO Co.,Ltd. |
| [Alarmie: Easy Rise Alarm Clock](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) | 4.4/5 | Mixed | Jintian Wang |

## Company Profile
- **Developer:** Scott Kowalczewski

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/toronto-real-estate-by-jorgina/id6473794001?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.kowalczewski.jorgina&hl=en&gl=us)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Alarmy - Loud alarm clock*](https://marlvel.ai/apps/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) — 4.8/5 Rating | Positive Sentiment
- [*Tinder Dating App: Date & Chat*](https://marlvel.ai/apps/tinder-dating-app-date-chat) (Tinder LLC) — 4.2/5 Rating | Terrible Sentiment
- [*AlarmMon ( alarm clock )*](https://marlvel.ai/apps/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) — 4.2/5 Rating | Negative Sentiment
- [*Swiftime*](https://marlvel.ai/apps/swiftime) (MEDIANO Co.,Ltd.) — 4.5/5 Rating | Positive Sentiment
- [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) (Jintian Wang) — 4.4/5 Rating | Mixed Sentiment
- [*Iris: Secret Social Signals*](https://marlvel.ai/apps/iris-social-signals) (Amon Studio) — 3.0/5 Rating | N/A Sentiment
- [*Social Brain: Relationship Map*](https://marlvel.ai/apps/social-brain-relationship-map) (Dung Vu) — 5.0/5 Rating | N/A Sentiment
- [*Daylio Journal - Mood Tracker*](https://marlvel.ai/apps/daylio-journal-mood-tracker-1) (Relaxio s.r.o.) — 4.8/5 Rating | Excellent Sentiment
- [*Nutrition - Florida Tech*](https://marlvel.ai/apps/nutrition-florida-tech) (Creative Minds, Inc.) — 2.3/5 Rating | N/A Sentiment
- [*Beauty Fonts - Font Keyboard*](https://marlvel.ai/apps/beauty-fonts-font-keyboard) (MD Studio) — 4.5/5 Rating | N/A Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting.
4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.05/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 59 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/toronto-real-estate-by-jorgina)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.