GitHub Codespaces
replit
StackBlitz
CloudShell
vscode.dev
CodeTasty
AWS Cloud9
StackHive
Whistle Enterprise
Otter.ai
Meetly.ai
Hacker News Search
Fireflies.ai
Briefly AI
SecurityBot.dev
SkaldMaps
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.
GitHub Codespaces Whistle EnterpriseWhistle 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.
Based on our record, GitHub Codespaces seems to be a lot more popular than Whistle Enterprise. While we know about 152 links to GitHub Codespaces, we've tracked only 3 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.
First, remote dev environments became table stakes. GitHub Codespaces, Gitpod, and self-hosted dev containers became how serious teams worked. Every engineer I know who ships to production now SSHs into a box they didn't provision, edits files with whatever editor is installed, and commits from a terminal. An IDE-bound agent requires you to also forward your IDE to the remote box, which most people don't bother... - Source: dev.to / 3 months ago
This package provides support for managing GitHub Codespaces in Emacs and connecting to them via TRAMP. It provides a handy completing-read UI that lets you choose from all your created codespaces. - Source: dev.to / 5 months ago
GitHub Codespaces provides 60 hours of free compute time every month, which is more than enough for scoped home assignments or interviews. Itโs a full VSCode in the browser at github.dev or vscode.dev. - Source: dev.to / 8 months ago
GitHub Codespaces - Cloud development. - Source: dev.to / about 1 year ago
https://github.com/features/codespaces All you need is a well-defined .devcontainer file. Debugging, extensions, collaborative coding, dependant services, OS libraries, as much RAM as you need (as opposed to what you have), specific NodeJS Versions โ all with a single click. - Source: Hacker News / over 1 year 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 / 22 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 / about 2 months ago
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