PodxThreads

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Features

Inspiration

I was trying to build my personal brand on X and LinkedIn but had zero content ideas. I'd spend hours watching Chris Williamson, Ali Abdaal, and Lex Fridman podcasts, getting all these insane insights, then struggle for more hours trying to turn that into decent posts.

The process was brutal: listen → understand → rewrite → hope it doesn't suck.

That's when it clicked: Why manually extract gold from podcasts when AI can do it better and faster?

What it does

Core functionality:

-Users input YouTube podcast URLs -Select specific timestamp ranges (in/out points) -AI extracts captions and generates platform-optimized content -Outputs viral-ready X threads designed for maximum engagement

Key advantage: Our AI model learns from actual viral content patterns, not generic templates. This creates higher probability of producing content that resonates and spreads.

How we built it

Technical Aspect:

Frontend: Bolt + Claude for building the software overall Backend: Supabase AI Pipeline: Caption processing → context analysis → viral content generation Training Data: Curated database of high-performing X threads and viral posts

AI Model Framework:

-Fine-tuned models specifically for viral content generation -Context profile integration with brand voice matching -Token efficiency optimization for cost-effective scaling -Continuous database updates with fresh viral content patterns

Challenges we ran into

We didn't run into any technical issues, AI tools and documentation, discord server and X made making manageable.

The Actual Problem: Learning multiple complex domains simultaneously while building. School never prepared us for:

-Mastering new concepts daily -Immediate real-world application -Constant strategy pivots -Maintaining momentum through inconsistency

Consistency was a hard-core problem: We knew our idea from day one but only started building June 18. Classic example of knowing vs. doing. The deadline pressure forced us to lock in and execute.

Accomplishments that we're proud of

Fully Functional Platform - not some basic prototype, but a complete system ready for users.

-YouTube URL → content extraction -AI-powered viral thread generation -X-optimized formatting -Clean, intuitive interface

The content we have generated was almost as good as the viral threads.

What we learned

This project taught us stuff they don't teach in school:

Technical Skills That Matter:

How to feed AI systems properly (most people do this wrong) -Prompt engineering that actually works -Token optimization (saves money, improves output) -Building systems that scale -Using different AI models to see which works better for content.

Strategic Realizations:

-Context profiles + brand voice = AI content that doesn't sound like AI -Content repurposing isn't just efficiency - it's distribution strategy -The future belongs to people who use AI as a multiplier, not a crutch

What's next for PodxThreads

As the X algorithm will constantly be changing for better efficiency, we will keep our AI fine-tuned with the best of the best tweets and threads of X and generate viral threads.

In the future, we will crack down LinkedIn Algorithm and bring LinkedIn content generation, with some guides on how-to blogs of what makes your posts viral, algorithm breakdown of X and LinkedIn and more.