
AirKaren — Your flight. Our fight.
向AirKaren描述你的航班问题,它会帮你索赔。
benln · Product Hunt
AirKaren AI that fights customer service for you
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向AirKaren描述你的航班问题,它会帮你索赔。
benln · Product Hunt
AirKaren AI that fights customer service for you

社交应用:朋友是行星,沉默让他们漂离,频繁联系让他们环绕。
@PremShandilya16 · X
Nobody decides to lose a friend. Life gets busy, everyone means to reach out, and then it's been three years. So I built ORBIT. You're the sun. Your friends are planets. Talk often and they orbit close. Go quiet and they drift away. Live, clickable 👉 Built with @flowstep_ai + Claude Code over MCP #FlowstepChallenge

按键打节拍掌握冲刺物理,在 Speed Stars 中创造纪录。
stigo · V2EX
继续上站,今天顺便修了 2 个 bug,系统越用越顺手了 ## 不废话,直接上链接👇👇👇 - [Play Speed Stars Online for Free]( https://speed-stars.top/)  - [Drive Mad Unblocked]( https://speed-stars.top/)  ## 后面计划多做几个模板,告别千篇一律

将 Strava 跑步和骑行转化为 9:16 故事卡,支持自定义设计和分享
@aimansarchive · X

根据你的时间和地点获取AI推荐的户外活动建议。
u/Electronic_Ad418 · Reddit
I built an app for that "What should we do today?" moment I've been building an AI adventure planner called Wilder for longer trips, but I kept running into a different problem in my own life: "What should we do today?" Not a weekend getaway. Not a road trip. Just a random free afternoon where my wife and I end up spending 30+ minutes bouncing between Google Maps, Instagram, Reddit, and AllTrails trying to decide what to do... and sometimes we end up doing nothing. So I spun off a sep

与航空飞行数据交互,创建自动告警的AI监测智能体。
@yenalmh · X

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

Bloxynator 是一款方块拼图浏览器游戏,拥有经典模式、每日挑战和全球排行榜。
@jovica_bojic · X
After months of building, my project is finally live. Bloxynator is a browser puzzle game built from scratch using vanilla JavaScript—no game engine, just web technologies. Now real work begins: improving, iterating, and shipping. 🎮 #buildinpublic


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:

录制你的60秒推销词,获得关于吸引力、清晰度和自信心的AI反馈以及改写版本。
@Ethan_Cohen07 · X
, feel free to reach out to discuss ideas
