---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Aurora Forecast: Aurora Pass"
developer_entity: "Pavel Korkodinov"
bundle_id: "app.aurorapass"
app_store_id: "6776632990"
category: "Weather"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-10-12"
report_date: "2026-10-18"
last_verified: "2026-10-18T00:00:00.000Z"
report_version: "1.1.3"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 28
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["weather", "freemium", "mobile app", "app review", "app analysis", "aurora", "photographers", "hobbyists"]
canonical_url: "https://marlvel.ai/apps/aurora-forecast-aurora-pass"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Aurora Forecast: Aurora Pass Intelligence Report

## TL;DR {#tldr}

- **Category**: Weather · Freemium

> **TL;DR:** Aurora Forecast: Aurora Pass is a weather app by Pavel Korkodinov, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Aurora Forecast: Aurora Pass is a weather app by Pavel Korkodinov.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Weather |
| **Developer** | Pavel Korkodinov |
| **Pricing** | Freemium |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 28d |

## Metadata & Market Performance
- **Publisher:** Pavel Korkodinov
- **Category:** Weather
- **Target Audience:** Aurora photographers and hobbyists who need localized weather and solar data to plan viewing trips.
- **Platforms:** iOS
- **Version Reviewed:** 1.1.3
- **Report Date:** 2026-10-18
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6776632990
- **Bundle ID:** app.aurorapass
- **Data Window:** Analysis based on signals collected up to 2026-10-18

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Aurora Forecast: Aurora Pass is a weather utility app for aurora photographers and hobbyists, providing localized visibility scores and solar activity data on iOS.
**Why users hire it:** The app removes the cognitive friction of cross-referencing disparate weather, moon, and solar data sources, allowing users to determine if a viewing trip is worth the effort.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Visibility Score:** Calculates aurora viewing probability for saved locations based on local weather and solar data.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] Personal Sighting Journal:** Stores user-captured photos and notes of aurora sightings for post-season review.
- **[Standard] Advanced Alert Criteria:** Customizable push notifications for aurora activity with quiet-hour controls.
  * *User Intent:* Users value self-expression and personalized experiences.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Aurora Forecast: Aurora Pass operates in the specialized weather utility segment, competing against general-purpose solar data apps. The lack of a significant review volume suggests the app is in the early stages of market penetration, requiring a focus on user acquisition to build a competitive footprint.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier with basic tracking, Premium tier unlocking unlimited spots, advanced alerts, and journal exports
- **Analysis:** The freemium model gates advanced planning and archival features behind a premium tier, creating a direct conversion lever for power users.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Visibility scoring mechanism compounds session frequency by providing actionable data for trip planning

**Growth Levers:**
- Localized pricing strategies could capture users relying on less specialized weather tools


<!-- /section:swot -->
<!-- section:whats-new -->
## What's New

- **Latest (v1.1.3, 6 days ago):** Refined app localization and interface text clarity.
<!-- /section:whats-new -->

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

- Ships maintenance updates for localization.
- Last release 6 days ago.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 6 days since last update · 117 days avg between updates

<!-- /section:momentum -->

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

Aurora Forecast: Aurora Pass is a weather app that is free with in-app purchases.

<!-- speakable-start -->
> **Bottom Line:** Aurora Forecast: Aurora Pass relies on specialized visibility scoring to retain power users, but the premium-tier gating of archival features limits the funnel. The app must demonstrate that its localized data provides a higher success rate for sightings than general weather tools to justify the subscription cost.
<!-- speakable-end -->

**Best for:** Aurora photographers and hobbyists who need localized weather and solar data to plan viewing trips.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] A/B test free-tier access to journal exports because archival features are currently gated behind a premium tier → increase user retention
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Stable

The aurora planning market is consolidating around utility-focused apps that provide high-accuracy localized data. Aurora Forecast: Aurora Pass must leverage its visibility scoring to build a loyal user base before general-purpose weather apps close the feature gap.

- ⚪ The app maintains a steady maintenance-only release cadence, indicating a focus on stability rather than rapid feature expansion.
- 🔴 The lack of significant user feedback or review volume limits the ability to iterate based on user needs, slowing growth.
<!-- /section:outlook -->

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

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

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

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Aurora Forecast: Aurora Pass** (this app) | N/A/5 | N/A | Pavel Korkodinov |
| [Bauernkalender](https://marlvel.ai/apps/ch-swift-bauernkalender) | N/A/5 | N/A | Swift Management AG |
| [Forecast & What to Wear](https://marlvel.ai/apps/com-appsforparents-weatherforkids) | 4.2/5 | N/A | Natalia Jakubczyk-Gajewska |
| [Highways & Hailstones](https://marlvel.ai/apps/highways-hailstones) | 4.1/5 | Mixed | MLU CoLab Inc. |
| [Weather&Clothes](https://marlvel.ai/apps/com-air-weather_and_clothes) | 2.7/5 | N/A | fk.system |
| [처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!](https://marlvel.ai/apps/com-woozuda-weather) | 4.2/5 | N/A | WOOZUDA |

## Company Profile
- **Developer:** Pavel Korkodinov
- **Website:** [https://pavkos.github.io/aurorapass/](https://pavkos.github.io/aurorapass/)

## Data Sources & Links
- **App Store ID:** 6776632990
- **Dev Site:** [Official Website](https://pavkos.github.io/aurorapass/)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*Bauernkalender*](https://marlvel.ai/apps/ch-swift-bauernkalender) (Swift Management AG) · N/A Rating
- [*Forecast & What to Wear*](https://marlvel.ai/apps/com-appsforparents-weatherforkids) (Natalia Jakubczyk-Gajewska) · 4.2/5 Rating
- [*Highways & Hailstones*](https://marlvel.ai/apps/highways-hailstones) (MLU CoLab Inc.) · 4.1/5 Rating
- [*Weather&Clothes*](https://marlvel.ai/apps/com-air-weather_and_clothes) (fk.system) · 2.7/5 Rating
- [*처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!*](https://marlvel.ai/apps/com-woozuda-weather) (WOOZUDA) · 4.2/5 Rating
- [*미세미세 - 미세먼지, 초미세먼지, 날씨*](https://marlvel.ai/apps/cheehoon-ha-particulateforecaster-particulateforecaster) (LifeOverflow Inc.) · 4.8/5 Rating | Positive Sentiment
- [*너의날씨: 미세먼지, 지도, 레이더, 캐릭터, 위젯*](https://marlvel.ai/apps/kr-guzi-yourweather) (구지랩(GuziLab)) · 5.0/5 Rating
- [*ชายฝั่ง รู้ทันระดับน้ำ*](https://marlvel.ai/apps/hii-pttep-chaifang-mobile) (Hydro Informatics Institute) · 4.9/5 Rating
- [*ภัยพิบัติไทย*](https://marlvel.ai/apps/biz-harmoniz-earthquake_alert_thai) (Harmoniz InterSoftware) · N/A Rating
- [*13abc First Alert Weather*](https://marlvel.ai/apps/com-gray-wtvg-13abc-weather) (Gray Television Group, Inc.) · 4.6/5 Rating

## Frequently Asked Questions {#faq}

### Is Aurora Forecast: Aurora Pass suitable for casual aurora viewers?

The app is designed for photographers and hobbyists who need detailed planning tools. Casual viewers may find the free tier sufficient, but the advanced visibility scores are tailored for those who plan trips based on specific conditions.

### How does Aurora Forecast: Aurora Pass compare to free aurora apps?

Aurora Forecast: Aurora Pass differentiates itself by offering visibility scores and a personal sighting journal, whereas many free apps provide only high-level solar data without localized weather planning.

### Does Aurora Forecast: Aurora Pass guarantee aurora sightings?

No, the app provides guidance based on solar and weather data. Visibility depends on local conditions, and the app explicitly states that forecasts are not a guarantee.

### What are the alternatives to Aurora Forecast: Aurora Pass?

Users can consider general-purpose weather apps that include solar activity data or other specialized aurora tracking apps, though these may lack the specific visibility scoring and journal features found here.

## 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 into synthesised themes (no verbatim quotes).
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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, 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:** 28 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/aurora-forecast-aurora-pass)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.