档案库 · AI 与模型 · 产品决策 · 2024-2025
Phind以定制70B模型重建AI搜索，提供视觉化自我搜索答案
经过六个月的重新构建，Phind以定制70B模型、视觉化答案和自动搜索重新上线；HN发布在2025-02-13获得537分
Phind
做的是什么生意
Phind is an AI search engine that answers questions in natural language with cited sources and, since Phind 2, with visual widgets, agentic follow-up searches and Jupyter-backed computation; it serves developers first but now competes as a general search product on a free tier plus paid plans.
起因
Phind started as an AI answer product for developers: it shipped a VS Code extension, launched on Hacker News, and gathered paying users who asked coding questions there. The launch post for Phind 2 says the new 70B model is completely different from the one the company launched a year earlier. By early 2025 the retention leak was visible in the community: users who loved the first version said they were shifting traffic back to Perplexity and ChatGPT as those products improved, and one subscriber described cancelling because DeepSeek was enough for occasional LLM answers. CEO Michael, posting on HN as rushingcreek, said the team went quiet while it rebuilt the entire product.
经过
Phind 2 shipped on 2025-02-13 after the six-month rebuild. The team said off-the-shelf models were incredibly bad at generating visual components reliably, so it post-trained a bespoke 70B series with a system of LLM critics that generated a high-quality dataset, and trained the model to emit Mermaid diagrams when helpful. The new frontend renders inline images, cards and diagrams, lets the model run extra rounds of searches when it needs more information, and verifies calculations by executing them in a Jupyter notebook. The company also deprecated its VS Code extension and said it was going all-in on search, with an API planned later that year. The launch thread drew 537 points and 192 comments: paying users called the results better than anything else they had tried and some resubscribed, while others reported hallucinated event dates, verbose diagrams, sources that did not always appear, and service unavailable in their region.
还没有结局，它还在跑。
背景
Phind最初是一个面向开发者的AI答案引擎：它发布了VS Code扩展，在Hacker News推出，并获得了提出编码问题的付费用户。当Phind 2于2025-02-13到来时，发布帖子称团队花了六个月重建，新70B模型与一年前发布的完全不同。
赌注是答案质量，而不是聊天便利性，是人们继续为AI搜索付费的原因。Phind构建了自己的70B系列，因为在现成模型可靠生成视觉组件方面极其糟糕，后训练使用一个LLM批评者系统并教模型生成Mermaid图表。Phind 2提供带有图像、卡片和图表的答案，让模型自行执行额外搜索，并通过在Jupyter中运行计算来验证；公司还弃用了VS Code扩展，称将全力投入搜索。
发布帖在2025-02-13获得537分和192条评论。爱好者表示结果优于Perplexity和ChatGPT，一些人重新订阅；批评者报告了幻觉中的经济日历日期、过度冗长的图表、缺失的来源和区域封锁。团队承诺了API、产品UI和无广告。该帖未披露资金或收入数据。
这件事要成立，得有什么
- 留存漏洞是具体且社区可见的：用户表示随着Perplexity和ChatGPT改进，他们已将流量转移回去，一位订阅者因DeepSeek取消
- 用Phind的话说，现成模型在可靠生成视觉组件方面极其糟糕，因此他们后训练了自己的70B——一种必须构建而不是包装的视觉格式
- 自助额外搜索回应了用户指出的失败：过分自信的过时答案对时间敏感的问题无用，因此Phind 2追求及时性和广度
- 公司承诺而非对冲：弃用了VS Code扩展，全力投入搜索，计划了API，并公开排除广告——既是定位赌注也是产品赌注
可借鉴之处
当竞争对手比你改进更快时，不要追逐他们的聊天用户体验：重建答案本身——他们未押注的模型和输出格式——投入一个渠道，拒绝明显的变现方式
后续进展
截至发布日，Phind 2上线，提供免费层和付费计划。在HN帖子中，团队直接回应批评，指引用户使用纯文本答案配置文件，说产品UI正在开发中，承诺保持无广告；还表示计划在2025年晚些时候提供API。公开材料未披露资金或收入数据。
资料来源
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