Newslett
Personalized News, Zero Noise
Project Overview
Newslett was born from a simple idea: news should be informative, not overwhelming. The founders wanted an app that used AI to curate and summarize news, delivering only the stories that matter to each user.
We built a Flutter-based mobile app powered by a Node.js backend with NLP capabilities. The app aggregates news from multiple sources, uses machine learning to categorize and summarize articles, and delivers personalized daily digests.
The result is a clean, beautiful reading experience that respects users' time and attention.
The Challenge
News apps are crowded with distractions — ads, clickbait, and algorithmic rabbit holes. Newslett needed to stand out with a genuinely useful AI-powered curation engine while maintaining a simple, elegant user experience that encouraged daily engagement without addiction.
Our Approach
We built a multi-source news ingestion pipeline with NLP-powered classification and summarization. The Flutter frontend was designed with a focus on typography and readability — clean cards, comfortable spacing, and a distraction-free reading mode. Push notifications were carefully tuned to deliver timely updates without becoming annoying.
Impact & Outcomes
Their AI expertise is impressive. The NLP-powered news aggregator they built is fast, accurate, and our users love the personalized summaries.
Newslett Team
Co-Founder, Newslett
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