健康1 week ago
athletedata - AI Fitness Coach for Strava, Garmin & WHOOP
连接 Strava、WHOOP 和 Garmin 的 AI 教练，提供个性化训练指导。
daniel_s · HN
My triathlon coach (not a human) now texts me on iMessage
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连接 Strava、WHOOP 和 Garmin 的 AI 教练，提供个性化训练指导。
daniel_s · HN
My triathlon coach (not a human) now texts me on iMessage
AI 解读你的八字命盘，指导人生决策和自我认识。
@RuheZhou · X
最近做了一个 AI 八字产品。 我没有让 AI 直接排盘。 基础盘一旦错了，后面解释得再像也没意义。 所以我把它拆成两层：程序负责确定性排盘，AI 只负责解释和整理现实问题。 官网已经开放： #AI #八字 #独立开发
分析学生手写作业，提供AI反馈并识别概念误解。
@WachangaWinston · X
An algebra crisis at home became TeachMap: teacher-reviewed AI feedback and misconception maps from handwritten work. Built with Codex + GPT-5.6 Sol for OpenAI Build Week.
为工业及技术专业人士提供的专业技术培训平台。
@TrainTrainAI · X
连接 Postgres 或 Supabase 数据库，获取数据漂移的 AI 驱动警报。
@franciscobuilds · X
1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.
通过 Gopath 快速生成微课程，分配给团队成员并追踪培训进度。
@GetGoPath · X
Hi Jana, we're building a learning platform that helps employers train their staff. A simple prompt generates a full blown course that easy to understand and can be listened to on the go. Try it for free and give your feedback please
将公司的通话、文档、工单和CRM数据统一为可搜索且验证的记录。
@chaibytesai · X
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
用自然语言问题查询电子表格和数据集，生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
微调LLM、清理数据集，教授和删除自定义事实，获得密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
帮助企业进行员工入职并组织企业知识库。
@alexander_roese · X
1. Building a platform to help companies capture and preserve critical employee knowledge before it leaves the business. 2. For SMEs that want to reduce knowledge loss, improve onboarding, and make internal expertise easier to access. 3.
