快找找kFind是一款由杭州半个宇宙科技（KMind）推出的匿名智能搜索引擎。该产品由前阿里云首席安全科学家吴翰清（道哥）领导的团队开发，并于2024年6月1日正式上线。
主要功能
匿名搜索
- 用户无需注册或登录即可进行搜索，保护用户隐私，不会在服务端保存任何搜索行为。
快速精准的搜索
- 采用优化的搜索算法，能够在极短时间内返回精准的搜索结果，满足用户的即时信息需求。
补刀功能
- 用户可以对搜索结果进行进一步提问，系统能够理解上下文语义，提供更精准的回复。
视频内容支持
- 支持多个短视频平台的内容显示与播放，用户可以查看和分享视频链接。
左滑浏览
- 用户可以通过左滑浏览他人搜索过的问题和答案，类似于刷短视频的体验，发现有趣或相关的内容。
重新回答
- 如果对生成的答案不满意，用户可以下拉屏幕重新生成答案。
内容推荐
- 用户可以设置内容推荐偏好，个性化定制搜索结果。
即时结果
- 快找找kFind能够快速提供搜索答案，响应时间短，满足用户的即时信息需求。
目前，快找找kFind在微信小程序中免费提供服务。未来可能会根据用户反馈和市场情况调整定价策略，但目前尚未有具体的收费计划公布。
应用场景
教育与学习
- 学生和教育工作者：学生可以快速查找学习资料、解答疑问，教育工作者可以获取教学资源和最新的教育资讯。
专业研究
- 研究人员：能够高效地查找学术论文、研究报告和相关数据，支持深入的学术研究。
内容创作
- 内容创作者：快速获取创作灵感和素材，查找相关信息，提升内容创作效率。
日常生活
- 普通用户：在日常生活中，用户可以通过快找找kFind查找各种实用信息，如旅游攻略、健康建议、购物指南等。
隐私保护需求
- 隐私敏感用户：由于快找找kFind提供匿名搜索功能，特别适合那些对隐私保护有较高要求的用户。
社交互动
- 社交媒体用户：用户可以浏览他人搜索的问题和答案，发现有趣的内容，类似于刷短视频的体验。
即时信息获取
- 需要快速获取信息的用户：无论是工作中需要快速查找资料，还是生活中需要即时解答疑问，快找找kFind都能提供快速、精准的搜索结果。
快找找kFind并不是开源项目。它是由杭州半个宇宙科技（KMind）开发的一款商业产品，主要通过微信小程序提供服务。目前没有公开其源代码或提供开源版本的计划。
kFind is an anonymous intelligent search engine developed by Hangzhou Half Universe Technology (KMind). The product was led by former Alibaba Cloud Chief Security Scientist Wu Hanqing (Dao Ge) and was officially launched on June 1, 2024.
Key Features
- Anonymous Search
- Users can search without registering or logging in, ensuring privacy protection, as no search behaviors are stored on the server.
- Fast and Accurate Search
- kFind employs optimized search algorithms that return precise search results in a very short time, meeting users’ need for instant information.
- Follow-Up Questions
- Users can ask further questions based on the initial search results. The system understands contextual semantics and provides more accurate answers.
- Video Content Support
- Supports displaying and playing content from multiple short video platforms, allowing users to view and share video links.
- Swipe Left Browsing
- Users can browse questions and answers previously searched by others by swiping left, similar to scrolling through short videos to discover interesting or related content.
- Regenerate Answers
- If users are dissatisfied with the generated answer, they can pull down the screen to regenerate a new answer.
- Content Recommendations
- Users can set content recommendation preferences for personalized search results.
- Instant Results
- kFind quickly provides search answers with a short response time, meeting users’ needs for instant information retrieval.
Currently, kFind is available for free through the WeChat mini-program. While future pricing strategies may be adjusted based on user feedback and market conditions, no specific payment plans have been announced at this time.
Application Scenarios
- Education and Learning
- Students and Educators: Students can quickly find study materials and get answers to questions, while educators can access teaching resources and the latest educational information.
- Professional Research
- Researchers: kFind supports efficient retrieval of academic papers, research reports, and relevant data, aiding in in-depth academic research.
- Content Creation
- Content Creators: It helps creators quickly find inspiration and materials for content creation, improving the efficiency of gathering information.
- Daily Life
- General Users: Users can search for practical information like travel tips, health advice, and shopping guides for everyday needs.
- Privacy Protection
- Privacy-Sensitive Users: Due to kFind’s anonymous search feature, it is particularly suitable for users with high privacy protection requirements.
- Social Interaction
- Social Media Users: Users can browse others’ questions and answers to discover interesting content, similar to scrolling through short videos.
- Instant Information Retrieval
- Users Needing Quick Information: Whether for quick work-related information or answers to everyday questions, kFind provides fast, accurate search results.
kFind is not an open-source project. It is a commercial product developed by Hangzhou Half Universe Technology (KMind) and is mainly available through the WeChat mini-program. There are currently no plans to make its source code publicly available or to release an open-source version.
