Maksim Liashch

Where HypeScribe started. The Telegram bot was our first product and got us to 500K+ users before we built the web app. Building on Telegram let us move fast and reach users where they already were.

Claude powers the AI layer behind HypeScribe — summaries, action items, and the Q&A chatbot over every transcript. We tested multiple models and Claude consistently gave the best results for dense content like meetings, lectures, and long recordings. It's also the model we actually trust with our users' data.

AWS gives us the scalability and reliability we need to process thousands of audio files daily. With GPU instances for our AI models and S3 for storage, it handles our growing user base seamlessly.

Deepgram is our reliable backup transcription engine. It’s fast, accurate for real-time speech, and great for fallback scenarios when Whisper isn’t ideal. Having it in our stack ensures consistent performance and user satisfaction.

Vultr gave us the most reliable instances at a fantastic price. It made scaling our transcription backend much easier and faster without breaking the budget.

Telegram offers the perfect platform for delivering AI-powered tools in real-time. It’s fast, secure, supports large media files, and doesn’t require users to install anything extra. It made onboarding seamless and the UX incredibly smooth. Also users who use TG prefer us rather than web app :)