u/FastPlankton8431 · Reddit

Fodmap App I have built a Vibe coded app, can i get som pointers by senior ppl? submitted by /u/FastPlankton8431 to r/SaaS [link] [comments]

@Sasobhabha · X

Mushroom Identification — 蘑菇 AI 识别工具（快速、准确)，结果包含毒性、高危相似种警告

@Palate_Food · X

u/eXt3000 · Reddit

I built a calorie tracker that lives entirely inside Telegram — no app store, no signup. Here are the ugly parts too Like a lot of people I quit calorie trackers because typing "chicken breast, 143 g" fifteen times a week is misery. So I built NutriAI: a Telegram Mini App where you photograph your plate and AI (Gemini) does the rest — calories, macros, 8 micronutrients, plus a 0–99 "sanity score" per dish that tells you how reasonable the meal is without lecturing you. Why Telegram instead

@HappyMonkeyAI · X

GOSafe was another #AI powered #app concept from last week too that aims to help to #travellers stay informed about destinations they are thinking of visiting

@RekonAstra · X

geesus · HN

Spread – Real-Time New Zealand Supermarket Data via API and MCP

lby910722 · V2EX

一个隐私优先的 Rice Purity Test： 100 题、浏览器本地计分 最近做了一个独立的 Rice Purity Test： https://testricepurity.org/ 它面向 18+ 用户，包含 100 道原创 Yes/No 题目。答题进度和分数只保存在浏览器本地，没有账号、服务器端答案存储、分析脚本或广告脚本。结果页还提供浏览器本地的模式报告和好友挑战（只把加密分数放在 URL fragment ，不上传答案）。 我也尽量把边界写清楚：这是娱乐/自我反思工具，不是心理测量、诊断或道德评价，也与 Rice University 无关。当前支持英语、西班牙语、法语、德语、葡萄牙语、日语、韩语和简体中文。 欢迎试用，也想听听大家对隐私说明、移动端答题流程和结果分享设计的意见。

@YujinGray · X

it’s my project

@geeknux · X

i vibe coding a game called #Slipgrid, it built by #phaser. you can play it alone or with your friends or even bots in Multiplayer. it's already in development but you can find it in #phaser #gamedev #indiegame

kingchesco · HN

I know $90 for a dining app sounds absurd. And it’s not even an app; it's a wrapper for an LLM. But it is how it is built that makes it so expensive. I had to make a whole API just to call it (which because its own SAAS). All just to bypass dumb google reviews. Google Maps and reviews send people to places optimized for tourists and good copywriters. To find actual local hole-in-the-walls algorithmically, I had to first build that api (called BWENDI), a "spatial gravity" engine using 100GB+ of tweaked OSM, GeoNames, and other proprietary data. Instead of aggregating reviews, it mathematically calculates foot-traffic, throughput, transaction stats, and economic criticality among other factors. Bwendi is A Python/Node ETL pipeline feeding an LMDB-backed context API. It uses a proprietary 1MB binary grid served via Cloudflare Workers for millisecond edge reads with near-zero overhead, hosted in Switzerland. This was done of course to get the purest location context around every street