NewsCatcher

NewsCatcher launched with a deliberately narrow focus: aggregating English-language news from 5,000 sources and delivering raw feeds via API to early users. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌They shipped their first version in six weeks, prioritizing data collection and basic categorization over the multi-language support, regulatory source coverage, and custom data mapping that would later define their platform. They deliberately excluded real-time enrichment, sentiment analysis, and integration with client data models—features that seemed essential but would have delayed launch by months. This stripped-down approach validated quickly. Within three months, risk teams at financial institutions began paying for raw feeds, proving demand existed before sophistication. Early customers' willingness to build custom parsing layers around NewsCatcher's basic API signaled that the core insight—enterprises desperately needed centralized news access—was sound. This validation justified the subsequent 18-month build toward their current 140,000-source, multi-language platform. Their execution prioritized learning over completeness, letting market feedback guide feature prioritization rather than building speculatively.