游戏娱乐9 hours ago
"I sent the wrong file to my boss" · Swamp Gator | I Scream
一款分享职场尴尬事件并互相较量的竞技游戏。
@_theboat · X
We've all been there!
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一款分享职场尴尬事件并互相较量的竞技游戏。
@_theboat · X
We've all been there!
投线、躲避障碍、钓取物品并升级装备的钓鱼游戏。
@mobxgames · X
What do you think of my latest vibe-coded game? Feel free to try it out:
上传照片并描述动作，用 AI 生成动画 GIF。
@psychoduino · X
Dropped it, let me know if you've caught it.
强调性能和响应式设计的免费网络工具集合。
@rutvikraval5 · X
🚀 Just launched The Pegboard — a clean, responsive web experience focused on performance and usability. 🔗 Would love your feedback 🙌 #Flutter #FlutterWeb #BuildInPublic
在GPU模拟水物理的3D游戏中创造生物。
@rand_monsterlab · X
A monster walks into a GPU-simulated pond. Reactive SPH water in the browser with @threejs + WebGPU. Every movement sends ripples through Coming soon. Follow @rand_monsterlab: #ThreeJS #WebGPU #VibeCoding #IndieGame #Monster
躲避 Google 更新和其他 SEO 挑战的浏览器游戏,灵感来自 Chrome Dinosaur Game。
@MathurArman · X
Built a a small game for SEO people inspired from Chrome Dinosaur game using Claude code... took me an hour...it's not perfect but it was fun to create this on weekend. Play here:
在照片地图中找到伪装的变色龙，在时间用尽前射击。
@Meowsylayf · X
Made a little game called Where's the Chameleon? It's basically the Temu version of Meccha Chameleon Find camouflaged lizards on photo maps, shoot them, or race friends online. Play solo or with a room. Vibe coded the whole thing lol
帮助 Jimothy 躲避割草机、老鹰和狗，在郊区混乱中解锁 Racc Skins。
@SpaceCityDirk · X
So I spent the last 5 hours vibe coding a @JimothyOnX game with @GoogleAIStudio. Help him navigate suburban chaos, dodge lawnmowers, outrun eagles, and dogs. High scores unlock sick Racc Skins!! Check it out and let me know what you guys think!!
GI Damage Calculator - 免费原神伤害计算器，可调整角色装备和敌人参数。
GI Damage Calculator — 《原神》伤害计算器，可调整角色、武器、圣遗物和敌人参数比较配装结果
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:
