Hey, I would really appreciate if you would try https://ottex.ai
I'm working on a Wispr/Spokenly competitor. It's free without any paywalled features, supports local models and a bunch of API providers including Mistral.
For local models ottex has - parakeet V3, Whisper, GLM-ASR nano, Qwen3-ASR (don't have voxtral yet though, looking into it).
btw, you can try new voxtral model via API (the model name to pick is `voxtral-mini-latest:transcribe`), I personally switched to it as my main default fast model - it's really good.
I'm working on a Wispr/Spokenly competitor. It's free without any paywalled features, supports local models and bunch of API providers including Mistral.
btw, the model name to pick is `voxtral-mini-latest:transcribe`, I personally switched to it as my main default fast model - it's really good.
I’ve worked with relatively large projects in TypeScript, Python, C#, and Swift, and I’ve come to believe the more opinionated the language and framework, the better. C# .NET, despite being a monster, was a breath of fresh air after TS. Each iteration just worked. Each new feature simply gets implemented.
My experience also points to compiled languages that give immediate feedback on build. It’s nearly impossible to stop any AI agent from using 'as any' or 'as unknown as X'casts in TypeScript - LLMs will “fix” problems by sweeping them under the rug. The larger the codebase, the more review and supervision is required. TS codebase rots much faster then rust/C#/swift etc.
You can fix a lot of that with a strict tsconfig, Biome and a handful of claude.md rules, I’ve found. That said, it’s been ages since I wrote a line of C#, but it remains the most productive language I’ve used. My TypeScript productivity has only recently begun to approach it.
Working on https://ottex.ai/ - BYOK alternative to Wispr Flow and Raycast AI shortcuts.
I love global voice-to-text transcription (especially when working with Claude Code or Cursor) and simple AI shortcuts like "Fix Grammar" and "Translate to {Language}".
I realized I was spending around €35/mo (€420 a year) on two apps for AI features that cost just pennies to run.
So I built Ottex - a native macOS app with a tiny footprint. Add your OpenRouter API key and get solid voice-to-text using Gemini 2.5 Flash, plus any OpenRouter model for AI shortcuts.
Building https://ottex.ai - a native MacOS app to solve repetitive micro tasks on a computer.
- Transcribe voice to text (especially useful when you need to explain something to Claude code )
- (soon) select text to instantly Check grammar / Improve writing / change tone of text
- (soon) select text to Translate between languages
I discovered that I have a few 10/20$ subscriptions (grammarly, raycast, wisperflow) that do embarrassingly simple stuff I can one shot with cheap SLM. So I decided to build a one app specialized in small repetitive tasks on computer.
They have a definition actually) “When AI generates $100 billion in profits” it will be considered an AGI. This term was defined in their previous partnership, not sure if it's still holds after the restructuring.
That is a staggering number - if an engineer makes $100k per year, and let's say OpenAI can do a 20% profit margin on running an engineer-equivalent agent, that means it needs $600B profit or 6 million fully-equivalent engineer years.
I think you can rebuild human civilization with that.
I feel like replacing highly skilled human labor hardly makes financial sense, if it costs that much.
I wonder if they have more detailed provisions than this though. For example, if a later version of Sora can make good advertisements and catches on in the ad industry, would that count?
Or maybe since it is ultimately an agreement about money and IP, they are fine with defining it solely through profits?
Incentives. I use consumerlab because trust is their product, if they break their trust once - they will ruin their business.
I inclined to trust the business which earns money from me - this means they are aligned with value I get and there is little incentive to break the trust and a high stakes to keep the trust when you get paid to be trustworthy.
I trust more the greedy capitalists than politicians in this question because I don't understand incentives of the latter. At least the business model is fairly transparent - you can check the company and how it makes money, in reverse incentives of the governments and their officials is broken - to get elected, get rich, get power, not lose job and keep producing new laws and regulations because if you want to keep your job you can't say “Everything is working, the best thing I can do right now is to monitor the system, collect the data and do nothing for a few years”.
I'm working on a Wispr/Spokenly competitor. It's free without any paywalled features, supports local models and a bunch of API providers including Mistral.
For local models ottex has - parakeet V3, Whisper, GLM-ASR nano, Qwen3-ASR (don't have voxtral yet though, looking into it).
btw, you can try new voxtral model via API (the model name to pick is `voxtral-mini-latest:transcribe`), I personally switched to it as my main default fast model - it's really good.
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