实用工具2 months ago
123tag | Crisis-Ready Emergency QR Identity — 123tag.in
创建和分享通用二维码，用于紧急医疗ID、丢失手机恢复和追踪。
@MishraSheesh · X
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22 projects
创建和分享通用二维码，用于紧急医疗ID、丢失手机恢复和追踪。
@MishraSheesh · X
Claims reconciliation, payment tracking, and revenue recovery for hospitals and clinics working with HMOs.
@syphertec01 · X
连接Stripe账户自动恢复订阅业务的失败支付收入损失。
@ardent__dev · X
Recover lost revenue before it turns into Churn
重试失败的 Stripe 收费，通过自动化催收流程恢复订阅。
@Holdfast_app · X
AI-powered collaborative clinical reasoning platform for medical education. Students solve cases together, AI presents bounded patient responses, and educators guide differential r
@Amoghh09 · X
RestroSuite by CodeArc — offline-first POS, kitchen KDS, QR ordering, floor, WhatsApp bills, reports, inventory, staff roles & Growth Hub. Free to start for Indian restaurants.
@Kappudeora · X
连接你的Strava、Garmin和WHOOP数据，获得个性化恢复意识的AI健身教练指导。
daniel_s · HN
My triathlon coach (not a human) now texts me on iMessage
在浏览器中离线免费构建ATS优化的LaTeX简历和CV。
someshjoyguru · HN
A LaTeX resume builder that compiles offline in the browser
MediTruth AI 用 AI 分析健保条款，揭示覆盖范围与隐藏费用。
@S_Shubham001 · X
🚀 Just launched MediTruth AI! An AI-powered health insurance intelligence layer that decodes policy fine print using RAG & Gemini. Know your claim success & hidden costs BEFORE you enter the hospital. 🏥🛡️ Try it live: #HealthTech #AI #BuildInPublic
Valkyrie recovers revenue lost to failed Stripe payments. Connect your account, see what you're losing, pay only 25% of what we recover.
@BruceOToole11 · X
Here’s Valkyrie - a commission based payment recovery tool for Stripe businesses that goes beyond Stripe Smart Retires
通过提交架构并体验AI触发的生产事件来练习系统设计。
u/No-Preference-846 · Reddit
I built an AI-augmented system design practice tool that triggers a live production incident when you submit your design - not just a critique Every system design prep resource I used was static — read a diagram, read the tradeoffs, move to the next one. Nothing ever pushed back on what I actually built. So I built ChaosBench . You design a system on a canvas — drag components, wire them up — and when you submit it, an LLM (Gemini) finds the actual weak point in your specific design and
