I m Aleksei, the maker of Worta - a Chrome extension that helps language learners translate, save, and review new words directly while browsing the web.
I built Worta because I often read websites in other languages and kept running into the same problem: translating a word is easy, but actually remembering it later is much harder.
Let s be real: If you ask a standard LLM about your "revolutionary" idea, it will tell you exactly what you want to hear. It s programmed to be polite, not to be a co-founder. Betting your life savings on a "confident hallucination" is just gambling with extra steps.
We built Bunzee.ai (and Business GPT) because we were tired of "vibes-based" building. Instead of just chatting, we plugged in 200,000+ objective data points to act as a Stress-Test Machine for your brain.
My co-founder and I are engineers. We didn't come from interior design. We came from software, and we kept asking the same naive question: why does turning a 2D floor plan into a photorealistic 3D render still take weeks and cost thousands?
This release is all about making the product more useful in real trading workflows, from AI research and Python strategy generation to backtesting, tuning, and live execution.
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For too long, learning distributed systems has meant staring at static diagrams and hoping the concepts eventually click. You can recite CAP theorem, explain eventual consistency, draw a microservices diagram from memory, and still freeze when something breaks in production.
I know that feeling well. My background is in Mechatronics Engineering and I currently work as a software engineer at Gymshark. Distributed systems was never formally taught to me. I learned it the hard way, and that gap between theory and intuition is what pushed me to build Cascode, alone, around my full time job.
It s a browser-based canvas where you assemble real AWS architectures, watch live message flows run through them, inject failures, and see what cascades.
Hi everyone I launched CommunityTracker.ai today and would really appreciate your support.
It s built to help teams track community conversations (ProductHunt, Reddit, Linkedin, Twitter etc), surface useful insights, and better understand what their users are saying.
Ever spent ages transcribing a podcast, interview, or lecture? I have too, and it s no fun. Early on in the STT and TTS tech wave, many great products appeared - shout out to @Otter, my longtime favorite. But now, having all tools in one place is essential, since transcription is just one step in solving bigger problems or building projects
So we built Tila - an AI tool that turns hours of transcription into minutes. It handles multiple languages, speaker identification, and cleans up audio. And Tila is more than transcription - it s a multi-agent platform for audio, text, and visuals all in one.. transcribing, generating voiceovers, or processing images - Tila does it in seconds.
We re launching soon and we plan to actively enhance our product's capabilities. We NEED your feedback! What s your biggest transcription/voice-over pain? Any specific features you wish for?
