Flask
Regular Member
- Apr 7, 2014
- 241
- 39
Long-time lurker, first-time poster in journeys. I've been sitting on a conservative news blog that's been gathering dust since 2022. Traffic went from 50k monthly visitors to basically nothing, but recent events got me thinking - there's a massive hunger for right-leaning content.
The Opportunity I'm Seeing
My analytics show my remaining audience is starving for content that connects current events with deeper conservative philosophical frameworks. They don't just want "Biden did X" - they want to understand these events through the lens of conservative thought leaders. They're commenting asking for perspectives that tie daily news to bigger picture conservative principles.
I'm one guy however with a day job. I can't watch every podcast and synthesize everything into coherent daily content. That's where automation comes in.
My High-Level Plan
1. Build a Content Intelligence Pipeline Set up automated transcript extraction from key conservative voices' YouTube channels, podcasts, and video content, mostly daily wire with Peterson and Shapiro, Musk, Alex O'Connor and others.
2. Create a Synthesis Engine with n8n + OpenAI Use n8n workflows to process these transcripts through an open-source LLM (thinking Llama or openai oss) to extract key talking points, philosophical arguments, and rhetorical frameworks. Not copying - but grabbing their good thoughts and reshaping their ideas.
3. Mix Breaking News with Conservative Framework Automatically pull breaking news from RSS feeds and APIs, then use the extracted conservative frameworks to generate unique commentary that places these events in proper ideological context. Again, not copying anyone - but applying consistent conservative analytical lenses to current events.
4. Quality Control Through Semi-Automation Everything gets queued for my review. I'm not trying to go full autopilot - just trying to 10x my output while maintaining authentic conservative voice.
The Technical Challenge
I started building a transcript extractor using yt-dlp, but honestly, I'm a content guy who learned just enough Python to be dangerous. YouTube keeps breaking my scripts faster than I can fix them.
I've been looking at MCP (Model Context Protocol) tools like YouTube2Text videos transcript makers as an alternative. These remote transcriber services could save me from the technical headache of maintaining extraction tools. But most require API keys and paid tiers.
I will commit myself to posting the updates, in case you have good alternatives or ready to work solutions, please share in commentary.
The Opportunity I'm Seeing
My analytics show my remaining audience is starving for content that connects current events with deeper conservative philosophical frameworks. They don't just want "Biden did X" - they want to understand these events through the lens of conservative thought leaders. They're commenting asking for perspectives that tie daily news to bigger picture conservative principles.
I'm one guy however with a day job. I can't watch every podcast and synthesize everything into coherent daily content. That's where automation comes in.
My High-Level Plan
1. Build a Content Intelligence Pipeline Set up automated transcript extraction from key conservative voices' YouTube channels, podcasts, and video content, mostly daily wire with Peterson and Shapiro, Musk, Alex O'Connor and others.
2. Create a Synthesis Engine with n8n + OpenAI Use n8n workflows to process these transcripts through an open-source LLM (thinking Llama or openai oss) to extract key talking points, philosophical arguments, and rhetorical frameworks. Not copying - but grabbing their good thoughts and reshaping their ideas.
3. Mix Breaking News with Conservative Framework Automatically pull breaking news from RSS feeds and APIs, then use the extracted conservative frameworks to generate unique commentary that places these events in proper ideological context. Again, not copying anyone - but applying consistent conservative analytical lenses to current events.
4. Quality Control Through Semi-Automation Everything gets queued for my review. I'm not trying to go full autopilot - just trying to 10x my output while maintaining authentic conservative voice.
The Technical Challenge
I started building a transcript extractor using yt-dlp, but honestly, I'm a content guy who learned just enough Python to be dangerous. YouTube keeps breaking my scripts faster than I can fix them.
I've been looking at MCP (Model Context Protocol) tools like YouTube2Text videos transcript makers as an alternative. These remote transcriber services could save me from the technical headache of maintaining extraction tools. But most require API keys and paid tiers.
I will commit myself to posting the updates, in case you have good alternatives or ready to work solutions, please share in commentary.
