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Show HN: In-Browser Sanskrit ASR Model

https://huggingface.co/gnumanth/sushrota-sanskrit-asr-onnx

Su-śrotā Sanskrit ASR — ONNX & In-Browser INT8 This repository provides ONNX and INT8 quantized exports of Su-śrotā (v13b), a scholar-grade Sanskrit speech recognition model developed by Prof. Prathosh A P (Indian Institute of Science, Bengaluru).These models allow running Sanskrit ASR 100% serverless in a web browser (via onnxruntime-web) or locally on Mac/Linux/Windows with zero...

( Read More... | no comments | 2 points | on HN )
Re:Desert Ant Labs: local, fast models that run on device on Wednesday September 09, 2026 @11:32AM (#49628238)
Awaiting web version...

Show HN: Browser LLM Fit

Auto-detect client hardware capabilities and match against in-browser AI models across WebGPU, WASM, and ONNX Runtime.GH: https://github.com/hemanth/browser-llm-fit

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Re:WebLLM: high-performance in-browser LLM inference engine on Wednesday September 02, 2026 @02:36PM (#49540469)
You might like webml-kit https://npm.im/webml-kit
Very similar effort https://latexy.web.app/ :)
Re:Show HN: JeopardyGithub: GitHub Repo to Jeopardy Game on Tuesday August 25, 2026 @05:07PM (#49440653)
Too make sure we don't off load our thinking to LLMs!
Yes, it works with Prose.

Bhagavata 5th Skandha is one such example that you can hear to.

Show HN: Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit

A 15-year-old dream has come true today. I started a PhD with the dream of creating a system that chants any Sanskrit shloka perfectly.And here I am opening sourcing Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit . This is the world's first vrutta-aware, open-source TTS for Sanskrit Chanting. I am making the model weights, training scripts, and even data (that I meticulously...

( Read More... | 2 comments | 4 points | on HN )

Show HN: ESLabs

https://eslabs.web.app/

LLMs can "learn", maybe. That doesn't mean we offload learning.More than a decade ago I had built paw-on-es6 to help folks get hands-on with ES6 (ES2015). It did its job.I am now introducing ESlabs. It covers every major feature from ES2015 through ES2025.You write real code in your browser, run exercises, and actually internalize what the features do and why we need them in the first place.The...

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Re:RFCs vs. READMEs: The Evolution of Protocols on Saturday February 07, 2026 @01:19AM (#46921759)
TCP/IP took nine years to deploy. MCP moved to the Linux Foundation in one. That contrast explains everything about how protocol development has changed.
Re:RCFs to READMEs on Sunday February 01, 2026 @10:51AM (#46847006)
TCP/IP took nine years to deploy. MCP moved to the Linux Foundation in one. That contrast explains everything about how protocol development has changed.

I've been tracking the explosion of AI Agent protocols over the last 18 months. The contrast with history is staggering: - TCP/IP: 9 years from paper to "Flag Day." - OAuth 2.1: 5+ years and still counting. - Model Context Protocol (MCP): <1 year from launch to Linux Foundation.

It’s not just MCP. In 2025 alone, we saw: - Google's Agent2Agent (50+ partners), - Universal Commerce Protocol (20+ retailers) - AP2 (Payments) all ship. - Agent Protocol, UTCP and few more.

We are entering an era of "Room Consensus": where a few giants agree on a spec and ship it to billions, bypassing the slow deliberation of the RFC era. Is this efficiency? Or fragility?

I break down the landscape of the new agent protocols and what this means for developers in my latest post.

Re:Ask HN: How are you doing RAG locally? on Thursday January 15, 2026 @09:20AM (#46632899)
from piragi import Ragi

kb = Ragi(["./docs", "s3://bucket/data/*/*.pdf", "https://api.example.com/docs"])

answer = kb.ask("How do I deploy this?")

that's it! with https://pypi.org/project/piragi/

Re:Ask HN: How are you doing RAG locally? on Thursday January 15, 2026 @12:33AM (#46628452)
I built a lib for myself https://pypi.org/project/piragi/

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