
NYC Traffic Cameras Live — Watch 900+ NYC Webcams
在 NYC 地图上浏览900+个实时交通摄像头直播。
@NWExplained · X
Not a startup, just something I made for myself
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在 NYC 地图上浏览900+个实时交通摄像头直播。
@NWExplained · X
Not a startup, just something I made for myself

实时追踪 Indian Railways 列车,包含实时地图和 PNR 状态检查。
@japangor · X
I wanted FlightRadar24 for trains — no one was tracking Indian railways in real time, so I built it myself.

The Quiet Map:通过地震数据实时展示地球最安静的地点。
theceka · HN
The Quiet Map – Earth's quietest place, measured by seismometers

输入纯文本快速生成演讲幻灯片,实时广播到房间内的手机。
@danielberigoi · X
Type plain text, get a clean deck in 30 seconds, broadcast it live to every phone in the room

分享和观看AI-generated视频的社区平台,支持创作者署名。
@_iampalash_ · X
Hey, built AVEXII,A dedicated platform for AI videos by content creators. Do checkout

TimeGuessr:根据AI生成的图片猜测时间和地点。
TimeGuessr — 给你一张图片,让你猜测图片发生的时间和地点。我们把 Timeguessr 的玩法原封不动地搬了过来,只是把图库换成了另一批“假照片”——全部由 AI 生成的过去 50 年里可能发生的瞬间

从URL或描述生成SaaS启动视频,60秒内完成AI优化编辑。
@VanillaSkyAI · X
is like Lovable for video. Paste a URL, get a launch video, chat to edit, post 🎬 Here's one I made in minutes 👇

通过AI聊天界面一站式创建视频,自动生成脚本、配音和编辑。
u/Real-Estate-Agentx44 · Reddit
Built an AI video tool where one chat writes, voices, generates, and edits the whole video - is all-in-one actually useful or do you prefer separate tools? I've been building ViewPress AI , an AI video generator, and I'm at the point where I want honest feedback before I keep pushing in one direction. Instead of jumping between a script tool, a voice tool, an image/video generator, and an editor, you describe what you want in one chat and the agent handles the whole thing. It

在交互地图上添加国家,查看Mercator投影如何扭曲它们的形状。
@DamianGuzierowi · X

自动生成网站地图、Schema标记、元标签和robots.txt文件的AI工具。
@PeakVisibilitys · X
🚀 AI-powered SEO audits and AI search optimization. Would love some feedback!

输入主题,AI在一分钟内生成完整的纪录片视频。
pw · HN
Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running
