RSS Feed Aggregator Console — BrainRotLabs.fun
RSS CONSOLE
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BRAINROTLABS.FUN — LOCAL DESKTOP TOOL
RSS FEED AGGREGATOR
Intelligence Console
For Researchers · Media Operators · Data Hunters
SYSTEM READY
5 SOURCES LOADED
341 ARTICLES READY
PORT 5757
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// live interface preview

This Is What You're Running

A full local desktop console. No browser tabs. No manual copy-paste. One interface handles everything.

BRAINROTLABS.FUN — RSS INTELLIGENCE CONSOLE v1.0 — localhost:5757
● RUNNING
Active Sources
CoinDesk
The Verge
TechCrunch
Decrypt
Wired
Run Stats
Accepted0
Blocked0
Dupes0
Errors0
Initializing...
0
Total Found
0
Accepted
0
Blocked
0
Duplicates
SCAN PROGRESS 0%
--:--:--SYSTEMConsole ready. Simulation starting...
STATUSSCORESOURCETITLEAUTHORDATE
Waiting for run to start...
Status
IDLE
Elapsed
00:00
Run ID
↑ INTERACTIVE PREVIEW — CLICK "START DEMO" TO SEE IT LIVE ↑
Core Capabilities

Built for Structured Article Collection

Six modules. One workflow. From source to export in minutes.

📡
Feed Discovery & Source Management
Paste any website URL — the console auto-discovers RSS and Atom feeds. Bulk import, manual entry, per-source settings, and validation before scraping.
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Checks common feed paths like /feed, /rss.xml, /atom.xml automatically. Validates reachability and XML structure before adding.
🧠
Vocabulary Filtering & Relevance Scoring
Block junk articles by keyword. Highlight valuable terms. Every article gets a numeric score — title matches weight higher than body mentions.
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Assign point values per keyword. Blocked words subtract score. Articles below your threshold are automatically suppressed from exports.
🧹
Clean Extraction — No Ads, No Junk
Readability-mode parser strips navigation, ads, sidebars, and boilerplate. Returns clean article body text + structured metadata only.
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Captures title, author, URL, canonical URL, publish date, scrape timestamp, categories, and full body text — stripped clean.
🔁
Duplicate Defense
Configurable deduplication via URL matching, title normalization, feed GUID, or fuzzy near-duplicate comparison. Stop syndicated articles cluttering your results.
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Multiple detection modes with configurable strictness. Shows exactly how many duplicates were caught per run.
🖥️
Live Run Console with Article Database
Real-time mission control. Source analytics, activity stream, live counters, and a searchable sortable spreadsheet-style article table — all in one view.
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Click any article row to expand full detail. Sort, filter, search. Review records before export without leaving the console.
📤
Structured Export — CSV, JSON, XLSX
One-click export with military-style timestamp naming. Choose exactly which fields to include. Your archives stay organized automatically.
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Format: DATASET-CONTEXT-DDMONHHMML-YYYY#tag — e.g. crypto-news-BTC-07MAR1430L-2026#dataset
Official Software Review

Watch the Console In Action

See the interface, workflow, and product logic before downloading.

BRAINROTLABS.FUN — OFFICIAL REVIEW ▶ Watch on YouTube
// Get the Tool

Download the RSS
Intelligence Console

Local desktop app. Windows. One-time download. No subscription. No cloud. Your research stays on your machine.

Python 3.8+ Required · Launches via run.bat · Runs at localhost:5757
FAQ

Common Questions

What does the software collect?
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Captures article title, author, URL, canonical URL, publish date, scrape timestamp, clean body text, categories, and vocabulary match data for every article. All stored locally in structured JSON.
Does it work with custom RSS feeds?
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Yes. Paste any direct RSS or Atom feed URL, or input a homepage URL and let the auto-discovery find feeds. Per-source settings, custom headers, and advanced network controls are all available.
Can I export the data?
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Yes. One-click export to CSV, JSON, or XLSX. Military-style timestamp filename format keeps your archives organized. You choose exactly which fields are exported and where files are saved.
Is this a subscription or one-time download?
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One-time download. The app runs entirely on your local machine. No SaaS, no cloud upload, no ongoing fees. Your data never leaves your hardware.
What are the system requirements?
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Windows PC with Python 3.8 or higher. The run.bat launcher handles all dependency installation automatically on first run. No special hardware required.
Can I watch the software before buying?
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Yes. The official YouTube review above shows the full interface, all 7 tabs, and the complete scrape-to-export workflow in real time.