
Metriq Body — The Plan That Adapts When You Stall
Know exactly what to eat and exactly what to lift. A gram-precise nutrition and training protocol computed from your biology, then re-computed every week from what you actually log
@0mislice · X
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Know exactly what to eat and exactly what to lift. A gram-precise nutrition and training protocol computed from your biology, then re-computed every week from what you actually log
@0mislice · X

Snoofy: 追踪健康、组织日程、获取专家指导,让宠物生活更简单。
@amitrajeet7635 · X
our gem is going to make your life chaos free feedback appreciated —

基于 AI 分析宠物遗传和蛋白质,制定个性化营养计划。
@petbizinsight · X
Why am I building PetProtein? My dog had gut issues. This AI tool means no more guesswork for pet parents. Just shipped v0.1! 🚀 Let's fix pet nutrition together. #buildinpublic #indiehackers


baskr turns your everyday care logs into a clear health score and plain-language coaching for every reptile, amphibian, invertebrate and feeder you keep.
@LeoShipStuff · X
I am building the Whoop for reptiles!
根据饮食需求规划膳食、发现食谱并生成购物清单的AI助手。
nicholasjamesboyd · Product Hunt
Kitchicon The AI assistant that takes the stress out of home cooking

Put any public X post on the board from $1. Pay more, rank higher. All payments final.
@mrzlucid · X
best trend on X - come play blackjack free

Aumaï——通过文字或照片追踪饮食和锻炼,获得AI营养分析。
@_FrenchSalmon · X
Building Aumaï, nutrition coach Spoiler alert: you can connect via MCP

21天交易引导计划,含交易日志及工具,培养稳定交易习惯。
@thetradeplug · X
only if you want to be the best version of yourself.

用日、周、月视图规划课程,课程冲突时自动调整日程。
sunpy · V2EX
快开学了,专门给老师们做了个在线排课工具 最近做了个小工具-Teacher Planner ,可以帮老师提高排课效率,节省时间. 目前支持: * 自动排课,保存前先标出时间冲突 * 某节课被占,点一下顺延,后面受影响的课自动跟着挪 * 日 / 周 / 月视图共用一份数据,能直接打印 * 课程标准可以挂到具体课时上,方便查漏 * 中英双语 技术栈是 Next.js + Drizzle ORM + PostgreSQL + Better Auth 地址: https://teacherplanner.ai 免费版能建一份完整计划,欢迎试用、欢迎拍砖~

集成 conversational AI 的新闻阅读器,专注阅读并获取市场洞察。
@luca_iaconelli · X

AI驱动的杂货清单应用,生成根据份量、过敏和饮食偏好定制的食谱。
@Thekurtwuckett · X
While I play catchup with the History of Bitcoin Series, I'm going to do a Claude Code vibe-coding episode for tomorrow's stream. I'll go over how I built over the course of 2 days. Step by step, and explaining the tooling, the steps and prompts