David Gu (@davidruigu) 's Twitter Profile
David Gu

@davidruigu

CEO @recallai The Universal API for Meeting Bots

ID: 787466130222788610

linkhttp://recall.ai calendar_today16-10-2016 01:32:10

317 Tweet

368 Followers

416 Following

David Gu (@davidruigu) 's Twitter Profile Photo

Manual data entry is officially over in the next five years. Every single one of our tools is going to be kept automatically up to date by listening to our conversations. This is the trend we are seeing from the 700+ companies we work with. Companies are tapping into meetings

David Gu (@davidruigu) 's Twitter Profile Photo

It took us less than a year to reach multi-million ARR by building something we hate. We built Recall.ai because, at our last startup, building/maintaining integrations with Zoom, Meet, and Teams to get recordings and transcripts was the thing we abhorred most.

David Gu (@davidruigu) 's Twitter Profile Photo

Instead of just saying AI agents are the next big thing, let's get real. Here are 10 companies making it happen: 1️⃣ Tavus – Video APIs for digital twins 2️⃣ Vapi – Voice AI for developers 3️⃣ Spinach AI – AI project manager 4️⃣ MightyBot – Personalized AI agents

David Gu (@davidruigu) 's Twitter Profile Photo

I'm curious. Would there be interest in a transcription provider benchmark test run by an unbiased 3rd party? At Recall.ai, we’re part of the infrastructure for over 800 companies running transcriptions. I get asked all the time which ASR provider to recommend.

David Gu (@davidruigu) 's Twitter Profile Photo

An intern. One week. A project that blew the team away. This is why we do what we do. That's the power of removing complexity and letting builders focus on what matters. With Recall.ai's unified API, you don't waste months wrestling with integrations. You start

An intern. One week. A project that blew the team away.

This is why we do what we do.

That's the power of removing complexity and letting builders focus on what matters. With Recall.ai's unified API, you don't waste months wrestling with integrations. You start
Vapi (@vapi_ai) 's Twitter Profile Photo

We've raised $20M from Bessemer, joined by Abstract, AI Grant, Y Combinator, Saga Ventures, and Michael Ovitz. Vapi is the platform for bringing voice AI agents to the world at scale. Today, we’re handling millions of calls per month for customers worldwide. Voice is the most

Matan Talmi (@talmixed) 's Twitter Profile Photo

Founders: you need to record ⏺️ all meetings at your company. Internal meetings. External meetings. All meetings. Meeting transcripts are a MASSIVE source of context for AI that can be effectively leveraged for note taking, generating documentation, drafting meeting recap emails

Y Combinator (@ycombinator) 's Twitter Profile Photo

Recall.ai (recall.ai) just launched an API that lets developers programmatically access Slack Huddles data, making it possible to build apps that capture, analyze, and integrate Slack Huddles conversations. ycombinator.com/launches/MyT-s…

Vapi (@vapi_ai) 's Twitter Profile Photo

🚀 Vapi 2.0 is live on Product Hunt. A big milestone for the team! Vapi is the infrastructure layer for real-time voice agents. It lets developers deploy LLM-powered phone agents that can talk, listen, reason, and act with sub-500ms latency and support for 60+ minute

David Gu (@davidruigu) 's Twitter Profile Photo

The YC application deadline is coming up on May 13th. YC has been enormously helpful for us even 5+ years after the batch. Would highly recommend!

Antonio Monteiro (@_anmonteiro) 's Twitter Profile Photo

we're hiring strong engineers in SF to work on really impactful infra / product. we're building the infrastructure to access conversation data in real time, operating at a huge scale with a tiny engineering team. does this sound interesting? DMs open

brett goldstein (@thatguybg) 's Twitter Profile Photo

been going deep on the ai meeting note taker space tldr - platforms like recall ai are going to enable literally every app to have granola-style meeting note taking its a feature not a product, which means, to succeed you still need to own a core workflow

David Gu (@davidruigu) 's Twitter Profile Photo

We hit the linux file descriptor limit in AWS RDS Postgres, turns out there’s a hard cap of 6815744. We had to get an AWS SDE to SSH into the actual VM running the RDS instance and execute some bash commands to raise the kernel-level FD limit. This is a totally undocumented