Hacker News: ipotapov

New comment by ipotapov in "VibeVoice: Open-source frontier voice AI"

ipotapov — Wed, 29 Apr 2026 06:14:18 +0000

I built speech-swift, which focuses on on-device speech processing like VibeVoice, but specifically leverages Apple Silicon's capabilities for ASR, TTS, and VAD without cloud dependency. Our ASR supports 52 languages with a real-time factor of 0.06. https://soniqo.audio/benchmarks

New comment by ipotapov in "Arietta: A framework for creating local AI voice assistants w. knowledge, tools"

ipotapov — Wed, 29 Apr 2026 06:13:53 +0000

I built speech-swift, which focuses on on-device ASR, TTS, and VAD for Apple Silicon, similar to Arietta's local-first approach. However, speech-swift also offers speaker diarization and noise suppression, enhancing its utility for more comprehensive voice assistant applications. https://github.com/soniqo/speech-swift

New comment by ipotapov in "Show HN: Parlor Jarvis – Realtime AI (audio+screen in, voice out) & multilingual"

ipotapov — Sun, 26 Apr 2026 19:27:19 +0000

I built speech-swift, which focuses on on-device ASR and TTS, similar to Parlor Jarvis's multilingual capabilities, but specifically optimized for Apple Silicon with 52 languages and a real-time factor of 0.06. It also includes speaker diarization and noise suppression. https://github.com/soniqo/speech-swift

MLX vs. CoreML on Apple Silicon: A Practical Guide to Picking the Right Back End

ipotapov — Mon, 20 Apr 2026 19:26:22 +0000

Article URL: https://old.reddit.com/r/apple/comments/1sq4dry/mlx_vs_coreml_on_apple_silicon_a_practical_guide/

Comments URL: https://news.ycombinator.com/item?id=47839316

Points: 1

# Comments: 0

MLX vs. CoreML on Apple Silicon: A Practical Guide to Picking the Right Back End

ipotapov — Sun, 19 Apr 2026 21:10:04 +0000

Article URL: https://blog.ivan.digital/mlx-vs-coreml-on-apple-silicon-a-practical-guide-to-picking-the-right-backend-and-why-you-should-f77ddea7b27a

Comments URL: https://news.ycombinator.com/item?id=47827676

Points: 2

# Comments: 0

Parakeet Streaming ASR on Apple Silicon via CoreML – and Swift Demo App

ipotapov — Sat, 11 Apr 2026 07:57:49 +0000

Article URL: https://old.reddit.com/r/iOSProgramming/comments/1sickii/streaming_asr_on_apple_silicon_via_coreml_and_the/

Comments URL: https://news.ycombinator.com/item?id=47728486

Points: 3

# Comments: 0

Show HN: Monetary policy tracker – AI sentiment analysis of 26 central bank

ipotapov — Thu, 09 Apr 2026 20:22:22 +0000

Article URL: https://monetary.live/

Comments URL: https://news.ycombinator.com/item?id=47709333

Points: 1

# Comments: 0

PixelSmile: Toward Fine-Grained Facial Expression Editing

ipotapov — Mon, 30 Mar 2026 07:22:06 +0000

Article URL: https://arxiv.org/abs/2603.25728

Comments URL: https://news.ycombinator.com/item?id=47571420

Points: 1

# Comments: 0

Nvidia PersonaPlex 7B on Apple Silicon: Full-Duplex Speech-to-Speech in Swift

ipotapov — Thu, 05 Mar 2026 07:43:41 +0000

Article URL: https://blog.ivan.digital/nvidia-personaplex-7b-on-apple-silicon-full-duplex-speech-to-speech-in-native-swift-with-mlx-0aa5276f2e23

Comments URL: https://news.ycombinator.com/item?id=47258801

Points: 374

# Comments: 125

The Modern Search Engine: The Complete Pipeline – How It Ranks Results

ipotapov — Thu, 05 Mar 2026 06:13:41 +0000

Article URL: https://blog.ivan.digital/inside-the-modern-search-engine-the-complete-pipeline-how-it-ranks-results-learns-from-7409d19ba09b

Comments URL: https://news.ycombinator.com/item?id=47258151

Points: 1

# Comments: 0

Fine-Tuning Qwen3 Embeddings for product category classification

ipotapov — Tue, 03 Mar 2026 16:37:10 +0000

Article URL: https://blog.ivan.digital/fine-tuning-qwen3-embeddings-for-product-category-classification-on-the-large-scale-product-corpus-3a0919506bc8

Comments URL: https://news.ycombinator.com/item?id=47234950

Points: 2

# Comments: 0

New comment by ipotapov in "Full speech pipeline in native Swift/MLX – ASR, TTS, speech-to-speech, on-device"

ipotapov — Tue, 03 Mar 2026 06:41:15 +0000

Been building this for a few months now and it's turned into a complete on-device audio pipeline for Apple Silicon:

ASR (Qwen3) → TTS (Qwen3 + CosyVoice, 10 languages) → Speech-to-Speech (PersonaPlex 7B, full-duplex) → Speaker Diarization (pyannote + WeSpeaker) → Voice Activity Detection (Silero, real-time streaming) → Forced Alignment (word-level timestamps)

No Python, no server, no CoreML — pure Swift through MLX. Models download automatically from HuggingFace on first run. The whole diarization stack is ~32 MB.

Everything is protocol-based and composable — VAD gates ASR, diarization feeds into transcription, embeddings enable speaker verification. Mix and match.

Repo: github.com/ivan-digital/qwen3-asr-swift (Apache 2.0)

Blog post with architecture details: blog.ivan.digital

There's a lot of surface area here and contributions are very welcome — whether it's new model ports, iOS integration, performance work, or just filing issues. If you've been wanting to do anything with audio or MLX in Swift, come build with us.

Full speech pipeline in native Swift/MLX – ASR, TTS, speech-to-speech, on-device

ipotapov — Tue, 03 Mar 2026 06:41:15 +0000

Article URL: https://github.com/ivan-digital/qwen3-asr-swift

Comments URL: https://news.ycombinator.com/item?id=47228957

Points: 5

# Comments: 2

New comment by ipotapov in "Show HN: I ported Manim to TypeScript (run 3b1B math animations in the browser)"

ipotapov — Sat, 28 Feb 2026 13:00:44 +0000

You mention using MathJax for LaTeX rendering, which is great for web compatibility. Have you explored the potential limitations of rendering text due to the lack of Pango? This might affect clarity in complex equations. Also, any thoughts on how it performs with large animations compared to traditional Manim: does the browser handle it smoothly?

New comment by ipotapov in "Unrolling the Codex agent loop"

ipotapov — Sat, 24 Jan 2026 12:40:40 +0000

Regarding the user instruction aggregation process in the agent loop, I'm curious how you manage context retention in multi-turn interactions. Have you explored any techniques for dynamically adjusting the context based on the evolving user requirements?

New comment by ipotapov in "Claude's new constitution"

ipotapov — Wed, 21 Jan 2026 19:29:36 +0000

The 'Broad Safety' guideline seems vague at first, but it might be beneficial to incorporate user feedback loops where the AI adjusts based on real-world outcomes. This could enhance its adaptability and ethics over time, rather than depending solely on the initial constitution.

New comment by ipotapov in "Web development is fun again"

ipotapov — Mon, 05 Jan 2026 07:09:49 +0000

Been using GitHub Copilot to handle the tedious webpack/babel config files and it's a game changer for modern web dev. No more spending hours debugging build pipeline issues - it generates 90% correct configs that just need minor tweaks.