source&pool
A daily wire of long-form journalism, video, and discourse — filed, tagged, and laid out flat.
VOL. I·NO. 01
WEDNESDAY, SEPTEMBER 23, 2026
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  1. 001Hacker NewsSEP · 23English

    NobodyWho is an inference engine that lets you run LLMs locally and efficiently

    NobodyWho is an inference engine for running large language models locally and offline across multiple platforms including Android, iOS, and desktop. It supports various LLMs in GGUF format with features like multimodal input, text-to-speech, speech-to-text, and GPU acceleration via Vulkan or Metal. The tool provides SDKs for Kotlin, Swift, Python, Flutter, React Native, Expo, and Godot.

    By Nobodywho-Ooo
  2. 002Hacker NewsSEP · 22English

    How HN: ScribeToAny – Free Audio and Video to Text Transcription

    ScribeToAny is a free transcription service that converts audio and video files into text across 98 languages, using advanced Whisper technology to handle various accents and noisy backgrounds while supporting multiple export formats.

    By hypercube67
  3. 003Hacker NewsSEP · 21English

    Synthesia Interactive Avatar API

    Synthesia launched its Interactive Avatar API, enabling developers to embed real-time, photorealistic avatars into web and app products. The API uses a bring-your-own-stack approach, allowing integration with custom LLMs, speech-to-text, and text-to-speech providers while Synthesia handles avatar rendering. The service supports 240+ avatars in 160+ languages and is now available for Enterprise customers in applications like customer support, HR onboarding, and interactive kiosks.

    By Alessandra Venier
  4. 004Hacker NewsSEP · 20English

    Show HN: Fluentry – local voice-to-text dictation for Linux, Wayland included

    Fluentry is a local voice-to-text dictation tool for Linux and Wayland that runs speech recognition models on your machine without uploading data. It supports dozens of languages, integrates with PipeWire and system keyboards, and includes features like custom dictionary management, filler-word removal, and optional local grammar correction through language models.

    By deniswsrosa
  5. 005Hacker NewsSEP · 17English

    Canto: A speech model built for the real world

    Wispr Advanced Interfaces Lab introduced Canto, a speech recognition model designed for real-world dictation conditions. Tested on real Wispr Flow usage data, Canto achieved the lowest word error rate among comparable models from Google, OpenAI, AssemblyAI, and Deepgram, performing particularly well on low-volume and short utterances despite ranking second to Gemini 3.1 Pro on overall challenge audio.

    By sleepypandas