Hi everyone. I'm a software engineer based in Tokyo, working on Stream Tech AI an AI-powered service that curates and summarizes Japanese tech articles for the global dev community.
I noticed a lot of valuable content on platforms like Zenn and Qiita rarely reaches developers outside Japan, so I wanted to help bridge that gap. Currently preparing for a Product Hunt launch and would love to connect with others building in the AI or developer tools space.
I've been working on Stream Tech AI, an AI-powered service that curates and summarizes tech articles from Japanese engineering blogs (Zenn, Qiita) and global sources.
The idea started from noticing how much valuable technical content in Japanese rarely reaches the global dev community. I wanted to help bridge that gap.
AI teams are data constrained, not model constrained and waste millions retraining models on data with little or negative impact.
They spend most of their budget collecting, processing, and labeling data without knowing what actually improves performance.
This leads to repeated failed retraining cycles, wasted GPU runs, and slow iteration because teams lack insights in which datasets improve the model and which degrade it.
