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为内容创作者生成病毒式视频创意、脚本、开场白、字幕和标签。
@sayafbuilds · X

搜索YouTube频道字幕、研究内容效果、构建视频剪辑。
@johncalvo · X
Built an entire YouTube research platform with @AnthropicAI Claude Code. a YouTube research tool that treats entire channels as a searchable transcript database rather than individual videos. Any YouTube channel. Every word. Fully searchable. Track how topics trend, peak, and evolve across hundreds of videos. Researching what someone said on YouTube means watching hours of footage and hoping you find it. ChannelScout extracts full transcripts from any channel, makes every word instantly searchable, and tracks how topics trend over time, without watching a single video manually. Paste a YouTube channel or playlist URL and it transcribes and indexes every transcript. Follow multiple channels and they all land in one private library. New videos on followed channels are auto-transcribed and added to your library the day they publish. Beyond YouTube it accepts any yt-dlp-supported URL including Vimeo, TED, and SoundCloud, and you can upload local files directly

从 YouTube 视频中提取带时间戳的转录文本,无需登录。
@BansalSamy87003 · X
I am 14 year old



输入话题,由三位AI主持人为你生成60秒播客片段。
samiam4238 · HN
Turn any topic into a 60-second 3-host AI podcast (no signup)

将社交增长瞬间转化为图像和短视频,无需设计工具。
@udaykirancodes · X
Hi am building

记录项目上下文,随时暂停和恢复工作。
@naumanthanvi · X


将汽车视频和音乐上传至Machcut,自动生成节拍同步的竖屏编辑。
u/Jonathanproductions · Reddit
We built a tool that automatically edits car videos to phonk beats... here's what it makes We've been building MACHCUT for the past few months. Drop in raw car footage and a phonk track and it produces a beat-synchronized vertical edit automatically. Python engine, not generative AI. Your real footage, automated cutting. The engine runs on A100 GPUs, uses YOLO to pick the best clips from your footage, locks cuts to the beat drop, and outputs vertical 1080p or 4K in about 6 min

粘贴YouTube链接生成学习笔记、抽认卡和考试题目。
@costin_gh07 · X
These threads are great for impressions but weak for real traffic — everyone drops, few click. Still, here's mine: turns any YouTube lecture into study notes in 60s. Anyone actually convert from these?