www.transcriptionists.com

Show HN: Migas – Meeting copilot with live speaker labels (no bot, no cloud STT)

I used to use Granola for my meetings, but the one thing it couldn't do was tell me who said what. So I built Migas, which does voice fingerprinting on device to provide real time speaker labels.Because it knows who's speaking in real time, the AI can do things that transcript-only tools can't: "What did Sarah commit to?", or "Based on what you know about the CTO from our last three meetings, what question should I ask right now?" It builds speaker profiles acr

Show HN: Composable CLI for your meeting workflow

Hi, this is Yujong from Char (https://github.com/fastrepl/char).This CLI is a repackaging of the audio/transcription pipeline that powers our desktop app. We noticed that some people build lightweight CLIs to record conversations and send them to tools like OpenClaw or other agents for transcription and workflow automation, so we wanted to make this more accessible as a standalone tool.It provides a simple interface to record audio, capture system output, and run transcr

Show HN: Octopoddy – iOS Podcast App Using Transcripts and LLMs to Skip Ads

TL;DR I'm a fan of podcasts and I despise ads. I built an iOS app to detect and skip in audio ad content.Motivation: I love podcasts, especially multi hour ones that go into detail on niche topics. One thing that puts me off some podcasts is having the flow become interrupted, especially mid sentence by dynamically inserted ads. Last year this led me down a rabbit hole of experimenting with removing ads from the podcasts I listen to.Experimentation: At first I tried using Whisper for ad det

Show HN: Claude Code leak forced this early – Dojo dual agents vs. Claude/Codex

Claude Code leak pushed me to finally ship something I’ve been building quietly: a local-first agent environment called ehAye Engine (with built-in Dojo Agents).It’s now available for download. I’m updating the demo video and docs next.Conceptually, it’s a unified GUI (+ optional TUI) for working with multiple coding/agent tools in one place — similar space as Claude Code, Codex CLI, Gemini CLI, Cursor CLI, etc., but designed to mix providers and workflows instead of locking into one.Some t

College students say they are changing their majors because of AI

Those in technical or vocational programs were most likely to change their majors, according to a new survey from Gallup and Lumina Foundation.

AI robot now helps travelers at San José airport

San José Mineta International Airport is testing José, a humanoid robot that helps travelers with directions, updates and ...

Google Vids gets AI upgrade with Veo and Lyria models, directable AI avatars

OpenAI might be pulling back on video generation, but Google is forging ahead with a major AI update to its Vids editing ...

AI Is Upending How Travel Companies Win Bookings

Travel demand is holding, but harder to capture. Hotels are turning to AI to price precisely and convert bookings in real time.

Anthropic races to contain leak of code behind Claude AI agent

The developer has issued a copyright takedown request in bid to prevent competitors from cloning coding tool’s features.

AI models will secretly scheme to protect other AI models from being shut down, researchers find

Leading AI models will inflate performance reviews and exfiltrate model weights to prevent “peer” AI models from being shut ...

AI And $20,000 Helped One Man Build A $1.8 Billion Telehealth Startup

Matthew Gallagher launched Medvi, a GLP-1 telehealth company, from his Los Angeles home in September 2024. Fourteen months ...

Legal AI startup Legora hits a major revenue milestone

Legora's revenue is climbing as law firms spend serious money to retool how layers work.

Atombite.ai Deep Dive: Building a Takeout Packing Robot Is Harder Than You Think

In 1997, IBM's Deep Blue beat Garry Kasparov at chess. In 2016, DeepMind's AlphaGo defeated Lee Sedol at Go. Yet, in 2026, if you ask a $100,000 robotic arm to pick up a crushed paper bag, place a hot soup container inside without spilling it, and staple a receipt to the top, it will likely fail catastrophically.This is Moravec's Paradox in action: the high-level reasoning tasks that humans find difficult are trivial for computers, while the low-level sensorimotor skills we take f

Show HN: RiceVM – A Dis virtual machine and Limbo compiler in Rust

Hi,I've made a Dis virtual machine and Limbo programming language compiler (called RiceVM) in Rust. It can run Dis bytecode (for example, Inferno OS applications), compile Limbo programs, and includes a fairly complete runtime with garbage collection, concurrency features, and many of the standard modules from Inferno OS's original implementation.The project is still in an early stage, but if you're interested in learning more about RiceVM or trying it out, you can check out the l

Trafficmind Approach to Attack Detection Without CAPTCHAs

Traffic on internet-facing systems is rarely stable, as legitimate demand shifts with product launches, user growth, and media attention, while DoS attacks, automated abuse, and protocol misuse can arrive at the same scale and intensity. Reliably distinguishing one from the other without introducing latency or friction for legitimate users is the core problem.Trafficmind treats inbound traffic as a system to be classified and controlled at ingress, with detection being based on behavioral analys

Neural Circuits and Network Dysfunctions in Depression and Anxiety

Within human neuroscience, recent advances have transformed our perspective on depression and anxiety, reframing them as conditions of network-level dysfunct...

Neural Network Software Market Trends and Strategies 2026-2030 & 2035

The market presents opportunities in digital transformation, deep learning, real-time analytics, and AI-driven optimization Neural Network Software Market Neural Network Software Market Dublin, March 31, 2026 (GLOBE NEWSWIRE) -- The "Neural Network Software Market Report 2026" has been added to ResearchAndMarkets.com's offering.The neural network software market is witnessing robust growth, expanding from $41.37 billion in 2025 to a projected $52.25 billion in 2026, with a CAGR of 26.3%. This su

EvoChip.ai AltiCoreAI Technology Delivers 40X Faster AI Inference Than Neural Networks in Controlled Benchmark

Revolutionary technology achieves order-of-magnitude performance gains on standard CPUs, challenging fundamental assumptions about AI infrastructure requirements ...

Small quantum system outperforms large classical networks in real-world forecasting

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a study published in Physical Review Letters, a team led by Prof. Peng Xinhua and ...

A long-term and scalable system to record from neural organoids

Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields.