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**Author**: Ronin ([@DeRonin_](https://x.com/DeRonin_))
**Date**: 2026-04-25
**Source**: https://x.com/i/web/status/2048078915520901242
 
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I automated my content engine and 2 hrs/day dropped to 10 min
 
[ what’s new in v2 ]:
 
- 9 platforms scraped while I sleep → 2,000+ topics/day
- a 5-signal scoring brain that filters down to the 10 that matter
- voice DNA writer.. same tone, different structure every time
- a self-learning loop that remembers every approve and decline
- profile DNA — knows exactly what goes viral on MY account
 
v1 was a brain with no body
v2 has eyes, a filter, and memory + fully automated
 
Here’s how to build it step-by-step ↓
 
[ The architecture]:
 
/content-engine
├── scrapers/ (9 platform scrapers)
├── extension/ (chrome ext for X, linkedin, reddit)
├── ai/
│ ├── http://ranker.py (5-signal scoring brain)
│ ├── content_writer.py (voice DNA + structures)
│ ├── profile_analyzer.py (your positioning DNA)
│ └── sentiment_analyzer.py
├── publisher/ (export + time slot scheduling)
├── gui/dashboard.py (streamlit command center)
├── ingest_server.py (local server on localhost)
└── data/content_engine.db (everything stored locally)
 
let me walk you through each layer ↓
 
LAYER 1: Research engine
 
9 sources scanned 24/7 (X, reddit, YT, HN, github, trends + chrome ext for reddit and linkedin)
every post you scroll past gets tagged and stored locally
 
LAYER 2: Scoring brain
 
every topic scored on 5 signals:
- freshness (0.20)
- velocity (0.25)
- virality (0.25)
- relevance (0.20)
- uniqueness (0.10)
 
velocity 8+ → forced min score of 7. catches late bloomers that suddenly explode
2,000 topics → top 10 ranked
 
LAYER 3: Voice DNA writer
 
not one structure every time. system picks the format:
 
- short take
- tactical playbook
- QT contrast
- contrarian
- resource drop
- proof post
 
a voice guardian auto-rewrites anything that fails: lowercase ratio, no hashtags, no corporate words
 
LAYER 4: Dashboard Streamlit
 
dark theme. 5 tabs
review queue = tinder for content. swipe approve, swipe decline
 
LAYER 5: Publishing
 
no auto-posting. zero account risk
approve → pick a slot (8am / 12pm / 5pm) → exports a .txt → copy / paste / post
 
also auto-drafts a linkedin version of every approved tweet
 
LAYER 6: Self-learning loop
 
every click logged. weekly the system embeds your decline notes and re-tunes the scoring brain
 
month 1: you approve 30%
month 3: 70% pre-filtered
month 6: 10 min/day
 
LAYER 7: Profile DNA
 
analyzes your past tweets. tells you exactly which pillars, formats, and hooks perform best on YOUR account
 
the scoring brain uses it to prioritize what already works for you
 
daily run: open dashboard → 10 min reviewing → post 3x → close
 
total cost: ~$15/month
 
everything else: local, sqlite, no cloud, no subscription
 
unfortunately I couldn’t paste in long-form format initial description which was made before
 
but if this hits 2,000 likes I drop the full build guide with every prompt you need to ship it in claude code
 
reply "ENGINE" + RT and I'll DM you access to test it (follow me first so I can write)
 
save this so you don't lose it
 
![](https://pbs.twimg.com/media/HGw86mUWEAAyMFb.jpg)
 
#### —
 
@ElconRoss Read this tweet lol
 
#### —
 
@0xDepressionn Cooking together my man
 
#### —
 
@exploraX_ good stuff though
 
but the main goal is to build your second brain in this case and study the model to think as you
 
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