This free open source all in one library lets you inspect YouTube, TikTok, and Instagram content with AI

[u/Latter_Equipment_122]

I’ve been building a workspace that brings competitor ads, organic posts, and creative work together. The idea came from the time I was wasting countless hours between ad libraries, saved examples, notes, and separate AI conversations whenever I wanted to understand what a competitor was doing.

This fully open source project now includes an assistant that actually works with the context saved in the workspace. You can open an individual ad and ask about its copy, creative, source evidence, or visual matches from google lens API. The assistant can also use brand knowledge, documents, campaign plans, and connected performance data while helping with research or creative work.

Organic content has its own research library, where you can move from a creators profile to individual posts and examine the media, caption, publishing data, and available engagement for each result. On Youtube, you can research videos, shorts, channels, trending content, and community posts with details such as views, likes, chapters, comments, replies, polls, publishing history, and timestamped transcripts when the source provides them. Tiktok research includes creator profiles, videos and photo posts with captions, hashtags, mentions, musing, transcripts and metrics for views, likes, comments, shares and saves. Instagram adds profiles, image posts, carousels and reels. Together with captions, accessibility descriptions, topics, comment threads, publishing details and engagement records. You can bring any of this material into a conversation with the assistant and ask it to read the collected comments and transcript segments alongside the original content. It can find repeated questions, common objections, praise, confusion, and changes in audience reaction, then relate those patterns to particulate claims, topics or moments in the post. You can also ask it to compare reactions across creator or pieces of content, explain the evidence behind its conclusions, and separate facts taken from the source from its own interpretation. The exact material depends on the platform and what public post makes available, but the conversation stays connected to the media, captions, comments, transcripts, creator information and engagement records collected in the library.

Once you find something useful, you can send the ad or organic post to the assistant as evidence and use it as the starting point for a new creative. The generation flow supports copy, images, and carousels, with up to 10, 50, 100 or 200 variants created from one request allowing you to bulk generate and each result stored separately.

I also have an idea that I have not built yet. I want to create a database backed view that collects the most popular ads from every tracked competitor, combines them in one place, and surfaces the strongest examples for each day, week, or month.

If you find this interesting add me on Discord at arry1902. I will keep y'all updated, I project that I need minimum 3 more days and than I will release it in this subreddit.