
Coffme · 个人咖啡工作台
记录并优化手冲咖啡配方,包含冲煮指南、风味追踪和数据分析。
@nathantong416 · X
我做了一个为手冲咖啡爱好者设计的记录工具。 从配方整理、冲煮引导,到风味记录与复盘,帮助你找到真正适合自己的那杯咖啡: • AI 配方识别 • 60+ 冲煮方法 • 滤杯管理 • 冲煮记录与数据分析 欢迎尝试并提供意见~ #coffee #vibecoding #手冲咖啡
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记录并优化手冲咖啡配方,包含冲煮指南、风味追踪和数据分析。
@nathantong416 · X
我做了一个为手冲咖啡爱好者设计的记录工具。 从配方整理、冲煮引导,到风味记录与复盘,帮助你找到真正适合自己的那杯咖啡: • AI 配方识别 • 60+ 冲煮方法 • 滤杯管理 • 冲煮记录与数据分析 欢迎尝试并提供意见~ #coffee #vibecoding #手冲咖啡

根据需要调整水酵素、酸面团等发酵食品的食谱配方和用量。
@designklu · X
I made my first vibe coded web app ! I was tired of figuring out how to scale up or down my water kefir, sourdough, etc. And I know i'm not the only one ~


通过TrackMyTank记录加油来追踪油耗和支出。
@GururajCC · X
The first version was honestly built just because we wanted to answer one question: "Is my vehicle actually becoming more expensive to run?" Turns out the answer is much easier when you have the data. Link:

@SinmideleD My Portfolio - https://t.co/fTHd8myAbN My Product - https://t.co/T4XvlcQeP4
@binaykumardas96 · X
My Portfolio - My Product -

CAAFRAL: origin-direct African coffee & cocoa trade platform, powered by 13 specialized AI agents.
@caafral · X

按SKU分析Shopify销售数据,发现隐藏的利润泄漏。
@okiela_io · X
Sales up but profit unclear? I help ecommerce sellers find hidden profit leaks by SKU. Send me 1 order export → 3 leaks:

浏览 sky 7 Café 菜单,发现招牌咖啡、果汁和甜点。
@Esllam_muhamed · X
🚀 Just shipped Menu_NEW with @onspace_ai ! A modern, responsive restaurant menu web app focused on speed and a clean user experience. 🌐 Demo: 💻 GitHub: #BuildInPublic

用于分析创业和营销指标的免费AI计算器
@NAVNEET_CODES · X
Free AI, startup, and marketing calculators built for founders, marketers, students, and business professionals.

No ads, no gatekeepers, no boring PR pitches. Just savage AI roasts & leaderboard bidding to reach #1. Will you claim The Throne?
@YagneshPipariya · X
The #1 spot is up for a grab take it now at lowest value right now before someone else get it.

对比450+个LLM API定价方案,计算实际月度成本,支持缓存和批处理定价。
u/Greywolff06 · Reddit
I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com

计算会议和项目的真实成本,了解它们对公司的实际影响。
@mafaldateles_ · X
My first web app is out! I built a tiny tool to help answer a simple question: could that meeting have been an email? You decide.