# 幸福木鱼 vs FindNear

The clearest difference is price: FindNear at Free against 幸福木鱼's $0.99. 幸福木鱼's advantage is in-app purchases (none vs 1) and iOS requirement (12.0 vs 15.0). On review sentiment, ads and device support there is nothing between them.

FindNear is free to download; 幸福木鱼 costs $0.99 up front. FindNear sells 1 in-app purchase, starting at $3.99 per month. 幸福木鱼 asks for nothing beyond the download.

## The numbers

| Metric | 幸福木鱼 | FindNear |
| --- | --- | --- |
| Price | $0.99 | **Free** |
| Positive reviews | 100.0% of reviews | 100.0% of reviews |
| In-app purchases | **No** | Yes |
| Ads | No | No |
| Update frequency | — | Every 3 weeks |
| Monetization | — | Freemium |
| Size | 60 MB | 36 MB |
| Requires iOS | **12.0** | 15.0 |
| Devices | iPhone, iPod | iPhone, iPod |
| Age rating | 4+ | 9+ |
| Developer | [lushi liu](https://appshunter.io/developer/1736867285) | [志文 李](https://appshunter.io/developer/1852909959) |

## What reviewers say

### 幸福木鱼

[App page](https://appshunter.io/ios/app/id6479678610)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


### FindNear

[App page](https://appshunter.io/ios/app/findnear/id6758208042)

Discover nearby essential locations like restrooms, convenience stores, and restaurants with precise navigation. This app focuses on a clean, efficient search experience for everyday needs.

**Highlights:** Precise real-time location tracking, Over 20 essential categories, Professional walking navigation, Advanced filtering for members, Minimalist, ad-free UI, Lightweight and fast performance

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases (1)**

| Purchase | Price | Billing |
| --- | --- | --- |
| Pro会员 - 月订阅 | $3.99 | per month |


## Frequently asked questions

### Is 幸福木鱼 free?

幸福木鱼 costs $0.99, with no in-app purchases.

### Is FindNear free?

FindNear is free to download, with in-app purchases available.

### Do 幸福木鱼 or FindNear have ads?

Neither 幸福木鱼 nor FindNear shows ads.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*