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24NewsRO - Advanced News Aggregation Platform
privately held Romanian media group
The Challenge
The client needed a sophisticated news aggregation platform to handle multiple Romanian news sources, automate content processing, and provide intelligent categorization. They required real-time trending analysis, automated press release management, and AI-powered content enhancement to compete in the rapidly evolving digital news landscape.
Our Solution
We developed 24NewsRO, an enterprise-grade news platform built with Go/Fiber and PostgreSQL. The solution features multi-source RSS integration, GPT-5 powered content classification, intelligent duplicate detection, and automated press release processing via Zoho Mail integration. We implemented real-time trending algorithms, comprehensive analytics, and a complete editorial workflow system.
The Results
Delivered a fully automated news ecosystem that processes content from multiple sources, reduces editorial workload by 70% through AI automation, and provides real-time trending analysis. The platform successfully handles thousands of articles daily with intelligent categorization, automated quality scoring, and seamless press release-to-article conversion.
“The 24NewsRO platform has revolutionized our news operations. The AI-powered content processing and real-time analytics have significantly improved our editorial efficiency and content quality.”
— Editorial Director, 24 NEWS MEDIA SRL
Technology Stack
Intelligent Financial Data Extraction & Analysis System
Investment Research Firm
The Challenge
The client needed to aggregate financial data from multiple sources including regulatory filings, earnings reports, and financial news sites for their investment research. Manual data collection from SEC filings, investor presentations, and financial statements was consuming 50+ hours weekly, delaying critical investment decisions and analysis.
Our Solution
We built a sophisticated web scraping and AI-powered financial data sorting tool using Python with Beautiful Soup and Selenium for extraction, combined with GPT-5 for intelligent classification and standardization of financial metrics. The system handles SEC EDGAR filings, earnings transcripts, and financial statements, automatically extracting key metrics, categorizing data types, and normalizing values across different reporting formats.
The Results
The automated system now processes 1,000+ financial documents weekly with 97% accuracy, reducing manual data collection time from 50 hours to just 3 hours for validation. The firm achieved 85% faster analysis turnaround, enabling quicker investment decisions. The AI accurately extracts and categorizes revenue figures, P/E ratios, debt metrics, and other key financial indicators across diverse document formats.
“As a private investor, this tool made my life easier. It pulls and normalizes key figures overnight so I get clean revenue, P/E and debt numbers each morning — freeing me to focus on decisions, not spreadsheets.”
— Private Investor