Whistle Enterprise
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Whistle Enterprise is an offline AI meeting assistant for Windows. It records the audio on the computer running the meeting, transcribes it locally with speaker labels, and writes a structured meeting document using a custom fine tuned AI model from BlazingBanana Ltd. Both models run on the user's own computer, designed for a normal laptop CPU with no internet required.
There is no bot in the meeting. No audio leaves the device. No account is required. Disconnect from the network and the same recording can still be processed.
Every line in the generated document traces back to the transcript line it came from. Export to PDF, Word, Markdown or plain text.
Built for law firms, advisory teams, compliance leads, HR and anyone else whose meetings cannot be sent to a cloud service.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
Whistle Enterprise GitHub CopilotWhistle Enterprise's answer
Recording, transcription and AI writing all run on the user's own computer. No bot joins the call. No audio leaves the device. A custom fine tuned AI model from BlazingBanana writes the structured meeting document on a normal laptop CPU. Every line in the document traces back to the transcript line it came from, so the record is checkable.
Whistle Enterprise's answer
Because the conversation does not leave the user's computer. There is no bot to disclose in a client meeting, no account to create, no external internet connection at any point. Whistle Enterprise is bought once per seat with a year of updates included. After the update year ends, the licensed software keeps working forever. Only new releases stop being available.
Whistle Enterprise's answer
There are conversations Tobias did not want sending to a cloud provider, and every other tool required it. So he built Whistle Enterprise. The custom AI model from BlazingBanana was built specifically for meeting document generation, and the whole pipeline runs on the user's own machine because the people who most need this kind of record are the ones who cannot lawfully send the audio anywhere else.
Whistle Enterprise's answer
Law firms, advisory teams, compliance leads, HR, public sector teams and anyone else whose meetings cannot be sent to a cloud service. The audience is defined by the kind of work, not the size of the company. Client conversations, witness statements, board discussions and investigations all need a proper written record but cannot lawfully be sent to a third party processor.
Whistle Enterprise's answer
Closed source commercial software. The installer bundles a published speech recognition model for transcription and a custom AI model from BlazingBanana for document generation. Both run on the user's CPU on a normal work laptop, with no GPU required and no external model fetch at runtime.
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be a lot more popular than Whistle Enterprise. While we know about 388 links to GitHub Copilot, we've tracked only 5 mentions of Whistle Enterprise. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm definitely biased as the developer, but maybe try https://whistle-enterprise.com and see how it works for you. It's a hard problem I've been working away on for a while now. It's far from perfect but every step brings it a bit closer. - Source: Hacker News / about 24 hours ago
Still working away on a completely offline meeting document generator that works on generic laptops with no GPU (https://whistle-enterprise.com). A new release coming very soon focusing on getting clearer audio which in turn makes the transcription and end document generated more accurate. Inbetween that I've been working on a "software house" (don't know how else to describe it). Pretty much codex/claude running... - Source: Hacker News / 2 days ago
Still working away at https://whistle-enterprise.com. Have spent the last month giving the UI a bit of a modernisation refresh and simplifying/improving some elements based on early user feedback. There's also been a boat load of performance improvements in the dirarisation and document generation pipeline. Feel free to download the prerelease version (its unsigned) here -... - Source: Hacker News / 30 days ago
I fell down the rabbit hole of voice transcription about a year ago, always had a love for utilising small language models so have put two and two together and built https://whistle-enterprise.com. The biggest challenge being it all running on CPU with the target device being your low to mid spec office laptop that's a few years old (I5, 8gb RAM). All nicely packaged together in a single selfcontained app that you... - Source: Hacker News / about 2 months ago
I used LLMs to develop Whistle Enterprise (https://whistle-enterprise.com) from the ground up, from scratch. It's taken _a lot_ of time and effort, but this is an example of what can be developed using LLMs alone. You have to have dedication and a goal to reach, but you can absolutely build anything if you're building with the right foundations in mind. - Source: Hacker News / 2 months ago
Snagly is a free, MIT-licensed set of 30 skills for AI coding agents โ GitHub Copilot, Claude Code, Cursor, Codex and 70+ others โ that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you haven't met them yet, is a reusable instruction set that teaches the agent a specific working method โ when to use it, what rigor it requires, what evidence to capture, and what... - Source: dev.to / 6 days ago
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / about 2 months ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / 2 months ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / 2 months ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / 3 months ago
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