蓝湖 vs 熊猫吃短信2
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
蓝湖
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「蓝湖App」,是蓝湖产品设计协作平台的一款手机端产品 实现了: 随时随地查看高保真原型演示;查看并评论设计图等功能。 产品设计图团队必备神器 【产品特色】 1、在Web端上传设计图,编辑原型。便可在手机端查看该高保真交互原型的演示效果,点击链接区域,即可跳转至链接的设计图页面,体验真实的仿真App。 2、左右滑屏可以快速浏览高清设计图,预览 App设计页面在手机上实际效果。 3、无论是在地铁上,还是在开会中,都可以随时随地对设计图进行评论,并@相关团队成员,对方可以收到邮件提醒。 4、便捷分享,支持用微信、QQ、复制链接等多种方式将产品高保真原型分享给你的同事 在使用过程中,如果你有任何问题或者好的建议都可以在 [个人中心] 快速反馈~ You had a problem,but I solved it。Then our story begins here …… 你有问题,而我恰好可以解决,我们的故事就此开始了…… 蓝湖Web端登录网址: LanhuApp.com
熊猫吃短信2
This app uses machine learning to intelligently filter your text messages, categorizing them beyond just spam. It offers detailed classifications for financial, order, and weather-related messages, all processed offline on your device for enhanced privacy. Users can contribute to its learning by reporting misclassified messages.
- Machine learning SMS filtering
- Offline processing
- Detailed message categorization
- User-contributed learning
- Privacy-focused
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广受欢迎的「熊猫吃短信」推出了 2.0 版本,使用新的机器学习模型架构,更加准确,也支持了更多的分类。 全面适配 iOS 16 的最新的短信分类,在正常短信、垃圾短信之外能够识别更加细致的短信分类:财务(银行信息、保险、理财、水电费)、订单(取件码、物流、订单状态、旅游出行)、运营商、天气等等。 熊猫吃短信创新性的使用 CoreML 机器学习框架在手机端离线拦截垃圾短信。我们不上传用户短信,拒绝云端识别。 我们依靠广大的用户群体主动向我们举报垃圾短信来建立机器学习的样本库。然后使用基于统计学的机器学习算法从百万条各类短信样本中学习而成。无需用户配置任何关键词,它通过识别一个短信的语义特征,自己就可以精准的判断收到的短信是正常短信、公益短信、交易记录还是广告骚扰短信等等。 如果熊猫有判断失误的时候,大家可以在 App 里面投喂新的短信样本帮助熊猫进化,喂养越多熊猫越聪明。 ** 隐私条款:熊猫会收集哪些信息?** 「熊猫吃短信」不会收集您的任何信息,更不会上传您的短信内容。如果您自愿向熊猫提交短信样本,那么会收集脱敏后的短信文本以及一个您标注是否是垃圾短信的数字,仅此两项数据。 https://baye.tech/privacy-policy.html 使用条款 https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Screenshots
Verdict
The clearest difference is rating: 熊猫吃短信2 at 4.6 against 蓝湖's 2.9. 熊猫吃短信2 also leads on review sentiment (71% vs 33%) and update cadence (weekly vs monthly). 蓝湖's advantage is in-app purchases (none vs 2) and iOS requirement (9.0 vs 16.0). On price, ads and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. 熊猫吃短信2 sells 2 in-app purchases, starting at $0.49 per month. 蓝湖 asks for nothing beyond the download.
熊猫吃短信2 holds the better App Store score, 4.6 against 2.9. That said, the two scores are not equally well evidenced: 熊猫吃短信2 has 255 ratings behind it against 9, so its average is the more settled of the two. Written reviews point the same way: 33% of 蓝湖's written reviews are positive against 71% of 熊猫吃短信2's.
蓝湖 ships an update monthly, 熊猫吃短信2 weekly. The most recent releases landed on October 18, 2026 and October 30, 2026 respectively.
| Parameter | 蓝湖 | 熊猫吃短信2 |
|---|---|---|
| Price | Free | Free |
| Rating | 2.9 (9 ratings) | 4.6 (255 ratings) — better |
| Positive reviews | 33.3% of reviews | 71.1% of reviews — better |
| Number of ratings | 9 | 255 — better |
| Update frequency | Monthly | Weekly — better |
| Ads | No | No |
| In-app purchases | No — better | Yes |
| Monetization | — | Free with in-app purchases |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 9.0 — better | 16.0 |
| Further details — not scored | ||
| Size | 68 MB | 15 MB |
| Age rating | 4+ | 4+ |
| Developer | Beijing Jinwei Zhiguang Information Technology Co., Ltd. | Early Moon, LLC |
Customer experience
蓝湖
熊猫吃短信2
Bugs and requests
蓝湖
Not enough reviews yet to summarise bugs or requests.
熊猫吃短信2
Reported bugs
5 issues- Custom rules not syncing across devices
- Subscription invalid after changing region
- iOS 18 functionality not working
- Software logic bug with SMS redirection
- Old version UI appears after upgrade
Requested features
8 requests- Custom rule migration or iCloud sync
- Batch import keywords
- Permanent in-app purchase option
- Regular expression support
- iCloud sync for custom rules
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- English version for English SMS filtering
- Customizable rule examples
- Android version
In-app purchases
蓝湖
No in-app purchases
熊猫吃短信2
- 订阅机器学习模型(按月)7 Days trial$0.491 Month
- 订阅机器学习模型(按年)7 Days trial$0.991 Year









