A huge thanks to our customers, partners, investors, and the team. We're just getting started.

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We bring 4x cost reduction in TTS inference with @tenstorrent! First production-grade TTS to match the cost of text tokens without degradation in audio quality. Learn more below

Link: smallest.ai/agent-phone-plan

Badge collected, Slides almost done See you at ICC Sydney for Interspeech. Presenting what we are working at @smallest_AI more on this soon

POV: CTO and CEO after closing a 7 figure deal

At @GffFintechfest, we handed out money. Everyone at GFF thinks about money all day. We designed the brochure as a currency note and called it The Smallest Issue. Inside, it runs like a newspaper, problem, proof, product. Most people didn't clock it was a pitch until somewhere around the benchmarks. The only brochures that survive are the ones people wanted. We build our products the same way.

A video editor solved his own problem. Now 20,000+ people use it. @tanishqgopani makes the videos you see on our socials. Captions were one of the most tedious parts of his workflow: writing them, timing them, and placing them correctly. He got tired of it and built a fix for himself. Then he put it out for anyone to use. It’s called CapKit. It generates animated captions inside After Effects and Premiere Pro. The testimonials people are sharing are better than anything a marketing team could write. The transcription under the hood runs on Pulse, our speech-to-text model. Its transcription is reliable across different kinds of real-world audio, so most captions come through in one pass, with little or nothing left to edit. This is something I keep relearning from the people here: you cannot assign curiosity. You hire people who have it, and then the main job is to not get in the way. If you work with video, try CapKit.

We guessed people’s ATM PINs at @GffFintechfest. That’s what it took to make them stop. Every year, the hall gets louder: more booths, more banners, more people walking past all of it. One more pitch was never going to cut through. So we gave people something they couldn’t explain. We hired a mentalist. He guessed phone numbers, favorite movies, childhood nicknames, and numbers people had locked in their heads seconds earlier. At one point, he guessed someone’s favorite Kannada movie. He doesn’t speak Kannada. The people around him stopped walking and started reacting. That was the point. At a crowded event, anyone can say more. Making someone stop is the harder job. Then you earn the conversation.