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Have me review your website or app. I’ll use it as a customer would and send you a detailed Google Doc with screenshots, findings, and specific recommendations.
More than 70 customers ordered the service when I launched it on AppSumo, and it sold out.
I recently took Friday Code for a deep dive and was genuinely impressed. It’s a robust desktop AI builder that turns plain language prompts into websites, web apps, backends, and small tools you can actually deploy. What I like about it is that it gives you more than a chat window for code. You can describe what you want to build, work through the project inside the desktop app, refine it through conversation, and export the full codebase if you want to keep building elsewhere.
In my early test, I used Friday Code to build and deploy a to do app and a landing page. It did not get everything right on the first try, but it responded well to follow up instructions and improved the output over a few rounds until I got what I wanted. That is what I expected from this type of application. After a few rounds, I got a better feel for how to guide it, what level of detail to give it, and how to get to the expected result faster. The best way to use Friday Code is to see it as a faster way from idea to working version, with room to keep improving the output through iteration. The important part is that it gives you the tools to do that without starting from a blank codebase or having to manage the whole process manually.
Friday Code also supports templates, local project storage, and different AI model options. The OpenRouter support is especially useful because you can use your own OpenRouter API key, which gives you more control if you already have a preferred AI setup.
Overall, Friday Code is worth considering if you want a desktop AI builder for quickly testing ideas, building tools, and getting projects deployed without starting from a blank codebase. It sits somewhere between a no code builder and a terminal based AI coding tool like Claude Code. You still need to guide the AI through a few rounds, but you do not have to live in the terminal, manage a local dev setup, or think like a developer from the first prompt. It’s a solid solution for helping non technical users turn ideas into working apps in a more guided desktop environment.
I just came across an open source AI note taker built for anyone who lives in meetings, called Prismical.
It is free and the code is public, here is the Github link for reference.
The differentiator is the capture model: it records straight from your system audio, so nothing ever joins your call and no one on the other end knows you are taking notes. It is local first too, so the transcription can run on your own machine with Whisper and your audio never has to leave your device unless you choose otherwise. In my test it gave me a live transcript with speaker labels and turned it into a summary with decisions and action items in a few seconds.
You also get bring your own keys, local models, and an MCP server so Claude or ChatGPT can read and write your notes. Open source and free is rare in this category, which makes it easy to recommend a try.
Where it needs polish: my very first recording came back empty and only worked on the second attempt, so there is a warm up wrinkle on day one. The default transcription runs on their cloud and counts against the free 300 minute monthly cap, so heavy users will want local models or their own keys.
The calendar connection is also one directional: it imports your meetings so you can record them, but it cannot push your action items back onto your calendar.
Outbound webhooks do exist, though the payload only carries ids and titles, so you need the paid API (Premium is 10 dollars per seat per month) to do anything useful with it, and the MCP integrations I looked at (Gmail, Zoom, Asana) were erroring on my account. None of this stops me using it right now, and for private, bot free meeting notes it already earns a place in my kit.
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