Congrats to @phindsearch on their $10.4M round! Walls of text are so 2022. On Phind, every answer is now an interactive mini-app. It’s a step towards their vision of creating a personal internet just for you. https://t.co/JO0vbeF5BO

Walls of text are so 2022. Introducing Phind 3, where every answer is now an interactive mini-app. It’s a step towards our vision of creating on-demand software and a personal internet just for you.

We're excited to launch Phind 2 today! The new Phind is able to go beyond text to present answers visually with inline images, diagrams, cards, and other widgets to make answers much more delightful. Phind is also now able to seek out information on its own. If it needs more

Introducing Phind-405B, our new flagship model! Phind-405B scores 92% on HumanEval, matching Claude 3.5 Sonnet. We're particularly happy with its performance on real-world tasks, particularly when it comes to designing and implementing web apps. Our focus on technical topics

GPT-4o is now available in Phind for all paid users! https://t.co/buRxH7XegW

We are excited and proud to be a signatory of SV Angel's Open Letter on AI:

"We find that Phind-70B is in the same quality realm as GPT-4 Turbo for code generation and exceeds it on some tasks. Phind-70B is significantly faster than GPT-4 Turbo, running at 80+ tokens per second to GPT-4 Turbo's ~20 tokens per second." What a launch! 👀

Introducing Phind-70B – closing the code quality gap with GPT-4 Turbo while running 4x faster

Phind-70b - A CodeLlama fine tune that claims to have GPT-4 code gen! Coming soon to open source 👏👏

Phind-70B looks like a big deal! Phind-70B closes the code generation quality gap with GPT-4 Turbo and is 4x faster. Phind-70B can generate 80+ token/s (GPT-4 is reported to generate ~20 tokens/s). Interesting to see that inference speed is becoming a huge factor in comparing

I'm very impressed by the way Phind, despite being the tiniest of startups, has managed to keep up with the giants. Phind-70B beats GPT-4 Turbo at code generation, and runs 4x faster. There is definitely still room for startups in this game.

Introducing Phind-70B, our largest and most capable model to date! We think it offers the best overall user experience for developers amongst state-of-the-art models. https://t.co/wkA2unqhME

Join us for our San Francisco meetup on February 6th! We’d love to meet you and hear about how we can keep making Phind better for you. And, of course, food and drinks will be provided :) https://t.co/CDnu7pwiHA

Announcing much faster Phind Model inference for Pro and Plus users. Your request will be served by a dedicated cluster powered by NVIDIA H100s for the lowest latency and a generation speed of up to 100 tokens per second. If you’re not yet a Pro user, join us at

🚀 Introducing GPT-4 with 32K context for Phind Pro users. If you’re not yet a subscriber, join us at https://t.co/buRxH7XegW.

🚀 While ChatGPT is pausing signups, Phind continues to be better at programming while being 5x faster. We’ve been rapidly adding capacity and it’s only getting faster. Check it out ➡️

I don't know how I lived without this. @phindsearch

@elonmusk Seems to do just fine @elonmusk

🆕 pod: Beating GPT-4 with Open Source LLMs https://t.co/4a9XODI6Qx with @MichaelRoyzen of @phindsearch! The full story of how Phind finetuned CodeLlama to: - reach 74.7% HumanEval vs 45% base model - 2x'ed GPT4 context window to 16k tokens - 5x faster than GPT-4 (100 tok/s)

Phind - @phindsearch worked pretty well for my tiny Bash script. It even adopted how I use a third-party script (jq). All on first try. See it in action: