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20 projects


Trendoff:实时1v1对战,由端侧AI评判。
german_merlo1 · Product Hunt
Trendoff Live 1v1 trend battles, judged by AI

浏览每位2026 World Cup球员所在的俱乐部,包括所有球队、小组和赛程。
@craigthusiast · X
Whenever I watch international football, I always wonder which club teams the players play for. I’ve been fascinated by AI and vibe coding, so I built my own solution! For Club and Country. Check it out and let me know what you think! #fifaworldcup


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

用现代数字记分卡追踪和管理板球比赛分数。
@Creativewi22256 · X
Hey my Favt man i just🏏 built KheloCricket app for cricket lovers, its a cricket scorecard modern app with modern features, many indians and Pakistan like it Try it, leave an honest testimonial, and you will get 3 Months Pro plan FREE. 🚀 #kholi #babar


通过 AI 原生分析平台浏览 FC Zürich 比赛数据和球员信息。
@zerokn0wledge_ · X
hey @fc_zuerich I vibe-coded something for you at the beach today with my fren @claudeai Fable 5. let's talk. because I love you.

团队聊天工作空间,整合分散在聊天、文件和反馈中的工作。
@AmaaN_AshiF · X
I Built this for 2 weeks with Claude code It’s now a working beta Product A chat first workspace for teams whose work gets scattered across chats, files, feedback and project tools. Free to try right now.

在Mech Arena中玩16个AI街机游戏
@spt4d · X
Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:

用弓箭狩猎目标的街机游戏。
@spt4d · X
Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:

查看 FIFA 2026 世界杯的实时比分、赛程和 AI 预测。
@qt_nest · X