---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "すごい時間割 - 大学生の時間割アプリ"
developer_entity: "Recruit Co.,Ltd."
bundle_id: "jp.co.labit.sugoijikanwari"
app_store_id: "440720442"
category: "教育"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "N/A"
report_date: "2026-05-19"
last_verified: "2026-05-19T21:39:24.595Z"
report_version: "N/A"
total_reviews: 0
confidence: "low"
confidence_score: 0
data_age_days: 43
intelligence_version: 2
tags: ["教育", "free", "mobile app", "app review", "app analysis", "university", "students", "looking"]
canonical_url: "https://marlvel.ai/apps/jp-co-labit-sugoijikanwari"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# すごい時間割 - 大学生の時間割アプリ App Audit

## TL;DR {#tldr}

- **Category**: 教育 · Free

> **TL;DR:** すごい時間割 - 大学生の時間割アプリ is a 教育 app by Recruit Co.,Ltd., available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** すごい時間割 - 大学生の時間割アプリ is a 教育 app by Recruit Co.,Ltd..
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | 教育 |
| **Developer** | Recruit Co.,Ltd. |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0/1.0) |
| **Data Age** | 43d |

## Metadata & Market Performance
- **Publisher:** Recruit Co.,Ltd.
- **Category:** 教育
- **Target Audience:** University students looking to manage their academic schedules.
- **Platforms:** iOS
- **Version Audited:** N/A
- **Audit Date:** 2026-05-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0/1.0)
- **App Store ID (iOS):** 440720442
- **Bundle ID:** jp.co.labit.sugoijikanwari
- **Data Window:** Analysis based on signals collected up to 2026-05-19

<!-- section:executive-snapshot -->
## Executive Snapshot
すごい時間割 is a schedule management application developed by Recruit Co., Ltd. specifically designed for university students. It allows users to organize their academic timetables and manage daily class schedules efficiently.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Timetable Management:** Enables students to create and visualize their weekly class schedules.
- **[Standard] Academic Planning:** Provides a structured interface for tracking university courses and academic commitments.
  * *User Intent:* Users seek enhanced value through premium features.
<!-- /section:features -->

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

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

すごい時間割 - 大学生の時間割アプリ is an established 教育 app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** A specialized scheduling tool for university students provided by Recruit Co., Ltd.
<!-- speakable-end -->

**Best for:** University students looking to manage their academic schedules.

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 2 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **すごい時間割 - 大学生の時間割アプリ** (this app) | N/A/5 | N/A | Recruit Co.,Ltd. |
| [英文多益知識王－單字、多益、托福、英檢、雅思必備吐司](https://marlvel.ai/apps/cmoney-englishwidget) | N/A/5 | N/A | CMoney |
| [FP3級学科試験対策問題集](https://marlvel.ai/apps/-fp3gakka1) | N/A/5 | N/A | yuth inc. |
| [スタディサプリ 小学/中学/高校/大学受験講座](https://marlvel.ai/apps/jp-co-recruit-studysapuri-studysapuri-iphone-1) | N/A/5 | N/A | Recruit Co.,Ltd. |

## Company Profile
- **Developer:** Recruit Co.,Ltd.

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/jp/app/%E3%81%99%E3%81%94%E3%81%84%E6%99%82%E9%96%93%E5%89%B2-%E5%A4%A7%E5%AD%A6%E7%94%9F%E3%81%AE%E6%99%82%E9%96%93%E5%89%B2%E3%82%A2%E3%83%97%E3%83%AA/id440720442?uo=2)
- **Sources:** App store metadata.

## Related Intel Reports
- [*英文多益知識王－單字、多益、托福、英檢、雅思必備吐司*](https://marlvel.ai/apps/cmoney-englishwidget) (CMoney) — N/A Rating | N/A Sentiment
- [*FP3級学科試験対策問題集*](https://marlvel.ai/apps/-fp3gakka1) (yuth inc.) — N/A Rating | N/A Sentiment
- [*スタディサプリ 小学/中学/高校/大学受験講座*](https://marlvel.ai/apps/jp-co-recruit-studysapuri-studysapuri-iphone-1) (Recruit Co.,Ltd.) — N/A 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:** 0/1.0 (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:** 43 days since last refresh

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