I made a personal news agent that follows anything you care about
Hi HN! I just launched A01 on the App Store! A01 is a personal news agent that follows exactly what you tell it to, without the algorithmic noise. I built it because I often had to jump between different sites and platforms to stay updated. When topics get really niche, there’s no single platform to rely on, and I’d often get distracted by unrelated content along the way. How A01 works: - Ingests 2,000+ RSS feeds hourly (The Verge, NYT, Nature, IEEE, arXiv, etc.) - Creates embeddings using Voyage - Vector search matches your custom prompts against new content every hour - Delivers only what…
What it does
In the maker’s words, at launch
Hi HN! I just launched A01 on the App Store! A01 is a personal news agent that follows exactly what you tell it to, without the algorithmic noise. I built it because I often had to jump between different sites and platforms to stay updated. When topics get really niche, there’s no single platform to rely on, and I’d often get distracted by unrelated content along the way. How A01 works: - Ingests 2,000+ RSS feeds hourly (The Verge, NYT, Nature, IEEE, arXiv, etc.) - Creates embeddings using Voyage - Vector search matches your custom prompts against new content every hour - Delivers only what matches your interests From TestFlight to App Store: We started with 300 TestFlight users who helped us refine the matching algorithms. Based on their feedback, we improved the semantic matching, covered more sources, and are now ready for broader release on the App Store. Current status: The product isn't perfect yet, but the core concept works well enough that I wanted to share it with the HN community for feedback. The semantic matching beats manually checking 10+ sources daily, though there are still edge cases we're working on. Download on App Store: https://apps.apple.com/us/app/a01-your-personal-news-agent/i... For Android users, sign up here: http://www.a01ai.com/ Really excited to hear what you think! Especially curious about what topics you'd want to follow that current news apps handle poorly, and any edge cases where semantic matching might fail.
Does the same job
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the whole month →
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
Dev tools · 2025 · github.com
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