@uxayaan · X

Building Cliponaut - ChatGPT for video editing

@BuildWithxAI · X

Upload a selfie. Pick your scene. Get an AI-generated video of yourself transformed into another world - ready to share on TikTok in seconds. Available on Android & iOS

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

seedance2 — AI 视频生成平台，体验视频生成模型 Seedance

@BansalSamy87003 · X

I am 14 year old

aighostface.org — Ghostface AI 生成器，将照片转换为 90 年代恐怖风格

@chandlerwilcox · X

u/Rae_Shin_ · Reddit

Why spend hours making demo videos? Paste a URL and let AI do it These days everyone is building products, but promoting them is a completely different challenge. Recording demos, editing videos, adding captions, and making content for Shorts, TikTok, Reels, or ads takes a lot of time. So I built Screenzy.pro. Just paste your product URL, and it automatically creates product demo videos that explain what your product does. It works well for social media content, launch videos, tutoria

AI LipSync — 对口型视频生成工具，支持长视频翻译

@slaven_ra · X

- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video

@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

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