A Slideshow Generator for TikTok

Hacker News

This is a tool for anyone building accounts or doing marketing on TikTok. It helps you create slideshows (image carousels) using AI to generate the captions and images. I built this because I had been posting TikTok slideshows to market my apps, and I was just using ChatGPT for both the scripts and the image generation, which took multiple prompts, and was quite tedious. This app combines all that so that you can just enter one prompt and create the whole slideshow. Then there's an editor to tweak/fix anything that isn't quite right before downloading/exporting to TikTok. You can also use your own images or any of the image collections in the app to fit your niche (motivation, gym, sunsets, mindfulness, running, etc) There are a ton of features I haven't built yet because I've been trying to nail the core functionality of the app first and make it as simple as possible to use. I'd welcome any feedback, thanks :)

Visit product View on Hacker NewsSep 27, 2025

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

95%95% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% 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, 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 · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Correct prediction on native model

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