
JetLag XI · WC 2026 group-stage difficulty
通过模拟和物流分析 FIFA World Cup 2026 小组赛难度。
@pgardunoc · X
I vibe coded this for the World Cup, and other projects
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通过模拟和物流分析 FIFA World Cup 2026 小组赛难度。
@pgardunoc · X
I vibe coded this for the World Cup, and other projects

用64支球队分组赛制模拟世界杯赛事
@accordingtoca · X
This was inevitable, so I designed a format that would actually work and I vibe coded a simulator to demonstrate it. Check it out:

FindOurTime:创建可用时间投票来找到最佳小组会议时间,无需账户。
@Attalos__Life · X
Find a meeting time without the back-and-forth. FindOurTime auto-detects time zones, checks calendar conflicts from an .ics upload, and lets you schedule 15, 30, or 60-minute slots. No account needed.

通过滑动式情景测验提升你在养育、沟通、领导和财务方面的判断力。
@ShashankBhutiy4 · X
Duolingo for Soft Skills and career growth

通过1000道验证的DSA问题学习数据结构算法,支持多语言解决方案。
@Hshu_15 · X
Built something I’ve been working on 🚀 a free platform with 1000 DSA problems, organized by topic & difficulty. Built with ChatGPT + Antigravity and deployed on Vercel. 🌐 ⚡ #DSA #Coding

通过四个游戏模式比较真实世界杯数据,猜出更大的数字。
@TheEditorDiary · X
I’ve have “made” (vibe coded) and app to test your Word Cup knowledge. It’s some normal stats, some unhinged Please test it out

Finding reliable teammates who play when you do. Find players, build your squad, and play when it suits you.
@LudiqoApp · X

为小团队提供共享收件箱和AI辅助的帮助台工单系统
@HelpdeskByVS · X
Building a lightweight ticketing system for small teams.

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

浏览和体验即用型破冰游戏,适合会议、团队和活动,无需准备。
IceBreakerGames — 破冰游戏转盘,帮你快速决定聚会选什么破冰游戏,并帮你快速了解和准备对应破冰游戏


与AI模型进行策略游戏,查看大语言模型在排行榜上的排名。
masterchef2209 · HN
I created a platform to check which AI models is the best gamer