Original Summary

Every time I cooked something at home and tried to log it in MFP, I'd spend more time searching the database than actually eating. "Mapo tofu" returns nothing useful. "Stir-fried water spinach" doesn't exist. I ended up tracking calories in Excel for 100 days. Lost the weight, but the process was miserable. So I built PhaseFit. Core idea: photograph your meal, AI estimates the macros per item. You can correct anything that looks off. It handles regular food fine, but the real edge is that I specifically tuned the AI prompts for Chinese, Japanese, and Korean dishes -- that's where every other tracker falls down. It turned into a real product when my parents started using it. My dad tracks meals and exercise daily. My mom's feedback shaped the large font mode and the healthy weight range indicator. Having actual users (even if they're family) forced me to make it reliable. What it does: Photo-based food recognition (no database searching) AI calorie/macro estimates with manual correction Phase-based goals (100-day cut, bulk, maintain) Daily AI summary and weekly review Multi-language (EN, ZH, JA, KO) Stack: Vue 3 + FastAPI + PostgreSQL + multi-provider AI API Pricing: Free tier (5 AI queries per day), Pro $6.9 per month. 14-day trial, no card needed. Would genuinely appreciate feedback on: Does the photo estimation accuracy feel usable? Is the phase-based approach (time-boxed goals vs indefinite tracking) something that resonates? Link and invite code in the comments.   submitted by   /u/Minimum-Risk-2365 [link]   [comments]

中文概览

中文标题： 拍照识别的卡路里追踪应用PhaseFit

作者因在数据库中搜索中餐菜品记录卡路里过于繁琐，开发了PhaseFit：拍照后AI估算每样食物的宏量营养，可手动修正。特别针对中日韩菜品优化了提示词。功能包括阶段性目标、每日AI总结、大字模式和多人语言支持。技术栈Vue 3+FastAPI+PostgreSQL，免费版每天5次AI查询，Pro版每月6.9美元，征求准确性和阶段性目标设计的反馈。

  • 情报分类：开源项目与落地
  • 分类依据：作者分享自建拍照卡路里追踪产品，寻求反馈
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/13 09:52:39