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KiroCoding & development

Kiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.

AI programming tool分类推荐榜首Free entry availableView details
MemoAIMusic & audio

MemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.

AI AUDIO TOOL分类推荐榜首Pricing unverifiedView details
EvoMapAgents & automation

EvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.

分类推荐榜首Pricing unverifiedView details
AI ShortWriting & content

AIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS

AI HINT COMMAND分类推荐榜首Pricing unverifiedView details
Open DesignDesign & 3D

OpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.

AI design tools分类推荐榜首Free entry availableView details
JAXModels & infrastructure

JAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.

AI DEVELOPMENT PLATFORM分类推荐榜首Pricing unverifiedView details
Zoom WorkplaceOffice & productivity

Zoom Workplace is Zoom’s team collaboration platform, integrating video conferencing, chat, calendars, and documents, and leveraging built-in AI to organize discussions, draft messages, and track follow-up tasks.

AI meeting tool待评分 · 分类列表推荐Pricing unverifiedView details
AssemblyAIMusic & audio

AssemblyAI is a speech AI platform for developers, offering pre-recorded, real-time, and short-form synchronous transcription APIs. It enables the building of voice-based applications by integrating capabilities such as speaker identification, emotion analysis, chapter and summary extraction, as well as speech agent functionality, dictation, and sensitive information processing.

AI AUDIO TOOL待评分 · 分类列表推荐Pricing unverifiedView details
闪剪Video & animation

FlashCut is an AI-powered creation platform for voice-over and short-video marketing. It can generate finished videos with voiceovers, subtitles, and visuals from text, offering digital human customization, photo-to-digital-human conversion, live-stream clipping, and intelligent editing. It also provides APIs and branded mini-program solutions for businesses.

待评分 · 分类列表推荐Pricing unverifiedView details
Meta AI助手Assistants & search

Meta's free AI chat assistant

待评分 · 分类列表推荐Pricing unverifiedView details

AI, as it happens

1971 published stories
2026-11-16
Follow the timeline
03:09

Show HN: 1MB Tenstorrent driver with ptx like kernels

The world of AI used to have people training models for solving substantial issues - like beat world's best go players or solving protein folding. Now that the AI got good, perhaps we forgot a bit how to do it. There is still cheap hardware around for tinkerers and people who want to continue good AI legacy. But the hardware may miss software. It is for those people that I started working on zyx long time ago - ML library in hopes of running on any hardware. One example of such hardware is tenstorrent. But the basics must be built first. And so today I'm showing you skamandros. A tiny, self-contained driver and compiler for tenstorrent cards (tested on p100a). PTX like input, mostly abstracted away hardware details (other than tiling), automatic optimizations and operation fusion. Hope you can use this software to write AI models that people can like. Comments URL: https://news.ycombinator.com/item?id=50509698 Points: 1 # Comments: 0

Startups & new venturesRead original
03:06

Show HN: atl, a Rust CLI for Jira, Confluence and Bitbucket with ~15ms overhead

Hello HN,I built `atl`, a Rust CLI for Jira, Confluence, Bitbucket, Jira Service Management, Trello and Atlassian Admin. The same commands work on Cloud and Data Center (on-prem).It's built for both people and AI agents: an --agent mode that outputs JSON and never prompts, a built-in MCP server with 136 tools, and a read-only login so an agent can't change anything. Confluence pages can be edited as Markdown and kept in git.It has SDK support as well for Python, TypeScript/JS, and WASM.Any feedback and contributions are welcome! Comments URL: https://news.ycombinator.com/item?id=50509662 Points: 1 # Comments: 0

Startups & new venturesRead original
02:14

b12421

The llama.cpp release b12421 includes updated binaries for multiple platforms including macOS, Linux, Windows, Android, and iOS, with support for various backends such as CUDA, Vulkan, ROCm, OpenVINO, SYCL, and Snapdragon. The documentation has been reorganized, moving per-model TTS content to /docs and linking it from other pages. Some builds, like macOS Apple Silicon with KleidiAI and openEuler variants, are currently disabled.

Inference systems & deploymentRead original
2026-11-15
Follow the timeline
20:38

b12413

A fix has been implemented to correct the placement of begin/end of image tokens in the Inkling 2 model within the chat functionality, along with the addition of a test to ensure stability.

Inference systems & deploymentRead original
19:50

Show HN: a Rust implementation of the Reticulum mesh networking stack

This is a fork of original rust sdk from https://github.com/BeechatNetworkSystemsLtd/Reticulum-rs/ that I extended significantly to make it fully feature compatible with the reference implementation that is built in python. I wanted to expand the rust sdk to give me full toolbox and easy way to do bindings for different languages including for building mobile apps.it covers the full surface: pathfinding and announce propagation, links, requests, resource transfers(bzip2, same wire format), identity ratchets, tunnels, LXMF messaging with propagation sync, serial/KISS/AX.25, RNode (incl. BLE), IPv6 auto-peering and I2P interfaces, Kotlin and Swift bindings so mobile apps can embed the stack directly.CLI tools (rnstatus, rnpath, rnsh, rnx) are ported too.I've done some experiments with it liek creating a LoRa chat firmware for the M5Stack Cardputer and a full node/repeater for M5Stack Unit C6L to have a tiny reticulum node with full stackBefore anyone gives me shit - I've opened an upstream PR but given the size of the change I'dnt blame them for not wanting to deal with it. Comments URL: https://news.ycombinator.com/item?id=50506235 Points: 1 # Comments: 0

Startups & new venturesRead original
19:13

b12410

The release includes a fix to clear the slot cache when the global LoRA configuration changes, ensuring consistency in model loading and inference. Prebuilt binaries are available for multiple platforms including macOS, Linux, Windows, Android, and iOS, supporting various backends like CUDA, Vulkan, ROCm, OpenVINO, and SYCL.

Inference systems & deploymentRead original
17:46

Show HN: Can a VPN be decentralised.. I think it's the best for homelabs

Can a VPN be decentralised... I was trying out tailscale for my homelab but I didn't really want a control plane. Tailscale, Headscale and others already do the Controlled VPN extremely well, and I've used them. but every one of them has a control plane that all the devices directly connect to. I wanted something where every device in the network can act as a self node, and it'll be a Mesh of devices interconnected. Further it also allowed me to keep internal names like nas.home.kith.internal, and exit nodes, relays... it's free and open source (AGPL), written in RustIt really felt useful to me so I just want to know what would make it further helpful? ... Some use cases or if there's a problem it could actually help with, I'd love to hear it and try my best.ps : I used a lot of Claude while building it, so I'm sure there are rough edges I haven't found... bad code, wrong docs, or maybe the wrong approach somewhere. Would love any feedback on it, or anything I should do differently :D Comments URL: https://news.ycombinator.com/item?id=50505492 Points: 4 # Comments: 0

Startups & new venturesRead original
17:27

b12406

The latest release of llama.cpp introduces support for Inkling 2, including text and vision capabilities. This update includes text inference implementation, GGUF conversion for text models, vision multimodal projection support, still-image encoding, flash attention with folded bias and sinks, and improvements to tensor mapping and testing. The changes also address model conversion, checkpoint handling, and compatibility across multiple platforms, with support for CPU, GPU (CUDA, ROCm, Vulkan), and specialized hardware like Snapdragon and OpenVINO.

Inference systems & deploymentRead original
13:58

b12397

The update introduces a change to the template soft_max_f32_parallelize_cols_single_row to store column elements in registers when feasible, reducing global memory traffic from five passes to two, thereby improving performance on CUDA-enabled systems.

Inference systems & deploymentRead original
12:07

Show HN: A blog on how computers work from scratch (1)

I started learning and writing up this blog in my own words, combining multiple resources until I feel comfortable in my understanding and then writing them down on my own. No AI here (other than help during the learning). This is article 1 of the series.Started understanding the flow of things from wall outlet, I know I skipped the things around how sand turns into a chip, but it would have gotten very long, maybe a story for another time.Looking for some feedback. Comments URL: https://news.ycombinator.com/item?id=50503921 Points: 2 # Comments: 2

Startups & new venturesRead original
02:48

b12385

The qwen2vl model in llama.cpp was producing incorrect results due to NULL values being passed for FFN weight scales, preventing per-tensor NVFP4 scales from being applied. This issue has been resolved by correctly passing the scales to the build_ffn function, consistent with how qwen2 handles them.

Inference systems & deploymentRead original
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