展示HN：Omelo - AI 宠物健康助手，健康时间线和日常护理
大家好，我是Amogh。我是一名独立创始人，正在开发Omelo。
宠物家长在做健康决策时几乎没有数据支持：错过疫苗、忘记驱虫、模糊的症状、零散的笔记。大多数建议来自谷歌或WhatsApp群组。
Omelo是一款移动应用，结合了以下功能：
1. 基于散步、饮食、护理、疫苗接种和开支构建的健康时间线
2. 一款经过兽医培训的人工智能助手（基于兽医文献进行训练），能够根据您宠物的历史回答问题
3. 支持多只宠物，使得模式随着时间的推移显现出来，而不是在聊天记录中消失
这个想法很简单：将日常宠物护理转化为结构化数据，然后利用人工智能在事情变成紧急情况之前对这些数据进行推理。
我们最初在WhatsApp上开展业务，服务了约5000名宠物家长，进行了约8万次对话，并刚刚推出移动应用，使得时间线、提醒和跟踪成为可能。
我们的技术栈故意选择了简单。困难的部分不是模型，而是设计信任、语气和长期上下文。
我希望能得到以下方面的反馈：
- 您会如何为非语言用户设计健康时间线
- 人工智能在哪些方面真正提供帮助，在哪些方面又变成了噪音
- 如果觉得这个应用过于复杂，您会去掉哪些功能
应用链接： [https://www.beomelo.com](https://www.beomelo.com)
欢迎随时提问——无论是关于产品、技术、错误，还是哪些地方没有奏效。
查看原文
Hey HN, I’m Amogh. I’m a solo founder building Omelo.<p>Pet parents make health decisions with almost no data: missed vaccines, forgotten deworming, vague symptoms, scattered notes. Most advice comes from Google or WhatsApp groups.<p>Omelo is a mobile app that combines:<p>1. A health timeline built from walks, meals, grooming, vaccines, and expenses<p>2. A vet-trained AI companion (trained on veterinary literature) that answers questions in context of your pet’s history<p>3. Support for multiple pets, so patterns show up over time instead of being lost in chat logs<p>The idea is simple: turn everyday pet care into structured data, then use AI to reason over that data before something becomes an emergency.<p>We started on WhatsApp, served ~5,000+ pet parents, ran ~80k conversations, and just launched the mobile app to make timelines, reminders, and tracking possible.<p>Tech stack is intentionally boring. The hard part wasn’t models, it was designing trust, tone, and longitudinal context.<p>Would love feedback on:<p>- How you’d design health timelines for non-verbal users<p>- Where AI actually helps vs where it becomes noise<p>- What you’d strip out if this feels too heavy<p>App link: <a href="https://www.beomelo.com" rel="nofollow">https://www.beomelo.com</a><p>Happy to answer anything—product, tech, mistakes, or what didn’t work.