Turn your site into a demo video with one URL

Hacker News

Tired of recording the same product demo 10 times and still not being happy with it? That’s basically why I built AutoAds (autoads.pro). The idea: you paste your site’s URL, and an AI pipeline does all the annoying stuff for you, fully automatic. What it does - You paste the URL of your site (SaaS, e-commerce, portfolio) - An AI pipeline visits the site and analyzes the content (sections, copy, visuals, CTAs, etc.) - It generates a screen-recording-style video of your site: - scrolling and navigating - focusing on the key sections - It then does an automatic edit: - short cuts - "promo-style" pacing - wraps everything inside a Mac mockup so it looks like a product video - In parallel, the AI generates: - a voiceover that explains your product - subtitles synced with the voice End result: you get a ready-to-use promo video (MP4) without opening Loom, without a mic, without a camera. What it works for today - SaaS products - E-commerce sites - Portfolios / personal sites There’s a free plan so you can try it with your own site (no credit card). Feedback I’m looking for - Would you actually use this instead of recording a manual demo? - What would you want more control over: script, voice tone, mockup style, video length? - What’s missing for you to feel confident using it on your landing page or in paid ads? Link: autoads.pro If you try it and get a cool (or terrible) video, I’d love to see it and hear what feels off or missing.

Visit product View on Hacker NewsNov 28, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, visual, using · Missing: agents, macos, agent

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: para, ios · Missing: supports, reddit linkedin, podcasting

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios, personal, video · Missing: mobile apps, entrepreneurs, apps

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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