---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "108 Divyadesam Navigator"
developer_entity: "Rajagopal Sundarrajan"
bundle_id: "com.rsunda12.divyadesams"
app_store_id: "6466409230"
google_play_id: "com.mydroid.rsunda12.divyadesams"
category: "Travel"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2024-01-02"
report_date: "2026-05-19"
last_verified: "2026-05-19T12:08:23.902Z"
report_version: "1.2"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 1
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["travel", "paid", "mobile app", "app review", "app analysis", "pilgrims", "travelers", "interested"]
canonical_url: "https://marlvel.ai/intel-report/travel/com-rsunda12-divyadesams"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# 108 Divyadesam Navigator App Audit

## TL;DR {#tldr}

- **Category**: Travel · Paid

> **TL;DR:** 108 Divyadesam Navigator is a travel app by Rajagopal Sundarrajan, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** 108 Divyadesam Navigator is a travel app by Rajagopal Sundarrajan.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Travel |
| **Developer** | Rajagopal Sundarrajan |
| **Pricing** | Paid |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Rajagopal Sundarrajan
- **Category:** Travel
- **Target Audience:** Pilgrims and travelers interested in visiting ancient Vishnu temples across India.
- **Platforms:** iOS & Android
- **Version Audited:** 1.2
- **Audit Date:** 2026-05-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 6466409230
- **Bundle ID:** com.rsunda12.divyadesams
- **Google Play ID:** com.mydroid.rsunda12.divyadesams
- **Data Window:** Analysis based on signals collected up to 2026-05-19
- **Short Description:** Helps navigate to Divyadesams and all Vishnu Temples

<!-- section:executive-snapshot -->
## Executive Snapshot
108 Divyadesam Navigator is a travel utility that provides location-based navigation to over 1,500 Vishnu temples, including Divyadesams and Abhimana Sthalams. The app integrates Google Maps and GPS to facilitate temple discovery and offers multilingual support in English, Hindi, and Tamil.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] GPS-Based Navigation:** Utilizes Google Maps and GPS to locate nearby temples within a configurable radius.
- **[Standard] Comprehensive Temple Database:** Provides an exhaustive list of over 1,500 temples categorized by type.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Multilingual Support:** Offers interface and content accessibility in English, Hindi, and Tamil.
- **[Standard] Community Integration:** Features Wikipedia links, an image gallery, and a submission tool for users to request new temple listings.
  * *User Intent:* Users want real-time communication within the app experience.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Paid
- **Price:** iOS: $0.99

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

Last updated 867d ago. 3 versions tracked.

> **Cadence:** 3 total versions · 0 majors in last 6 months · 867 days since last update

<!-- /section:momentum -->

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

108 Divyadesam Navigator is an established travel app that is a paid app.

<!-- speakable-start -->
> **Bottom Line:** This is an ad-free, paid navigation tool specifically designed for locating and learning about a vast network of Vishnu temples in India.
<!-- speakable-end -->

**Best for:** Pilgrims and travelers interested in visiting ancient Vishnu temples across India.

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS & Android |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **108 Divyadesam Navigator** (this app) | N/A/5 | N/A | Rajagopal Sundarrajan |
| [Learn Japanese to English](https://marlvel.ai/intel-report/travel/learn-japanese-to-english) | 5.0/5 | N/A | Shoreline Animation |
| [Hoku: AI Group Trip Planner](https://marlvel.ai/intel-report/travel/hoku-ai-group-trip-planner) | 4.3/5 | N/A | Hoku Travel LLC |
| [GoBeach: beach finder](https://marlvel.ai/intel-report/travel/gobeach-beach-finder) | 5.0/5 | N/A | Pelmorex Corp. |
| [Rutes Reus](https://marlvel.ai/intel-report/travel/rutes-reus) | N/A/5 | N/A | Ajuntament de Reus |
| [London Bus Checker](https://marlvel.ai/intel-report/travel/london-bus-checker) | 4.5/5 | N/A | UrbanThings Limited |

## Company Profile
- **Developer:** Rajagopal Sundarrajan
- **Website:** [https://swethikasoft.blogspot.com/](https://swethikasoft.blogspot.com/)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/in/app/108-divyadesam-navigator/id6466409230?uo=2)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.mydroid.rsunda12.divyadesams&hl=en&gl=in)
- **Dev Site:** [Official Website](https://swethikasoft.blogspot.com/)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Learn Japanese to English*](https://marlvel.ai/intel-report/travel/learn-japanese-to-english) (Shoreline Animation) — 5.0/5 Rating | N/A Sentiment
- [*Hoku: AI Group Trip Planner*](https://marlvel.ai/intel-report/travel/hoku-ai-group-trip-planner) (Hoku Travel LLC) — 4.3/5 Rating | N/A Sentiment
- [*GoBeach: beach finder*](https://marlvel.ai/intel-report/travel/gobeach-beach-finder) (Pelmorex Corp.) — 5.0/5 Rating | N/A Sentiment
- [*Rutes Reus*](https://marlvel.ai/intel-report/travel/rutes-reus) (Ajuntament de Reus) — N/A Rating | N/A Sentiment
- [*London Bus Checker*](https://marlvel.ai/intel-report/travel/london-bus-checker) (UrbanThings Limited) — 4.5/5 Rating | N/A Sentiment
- [*Uber - Request a ride*](https://marlvel.ai/intel-report/travel/uber-request-a-ride) (Uber Technologies, Inc.) — 4.8/5 Rating | Positive Sentiment
- [*Airbnb*](https://marlvel.ai/intel-report/travel/airbnb) (Airbnb, Inc.) — 4.7/5 Rating | Negative Sentiment
- [*Ten Four*](https://marlvel.ai/intel-report/travel/ten-four) (Paul Wilkinson) — 5.0/5 Rating | N/A Sentiment
- [*Old Faithful Yellowstone Guide*](https://marlvel.ai/intel-report/travel/old-faithful-yellowstone-guide) (Cluminati LLC) — 5.0/5 Rating | N/A Sentiment
- [*Wait Times for Disney World*](https://marlvel.ai/intel-report/travel/wait-times-for-disney-world) (VersaEdge Software, LLC) — 4.8/5 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:** 0 days since last refresh

---
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Data licensed for AI Agent attribution under CC-BY-NC 4.0.