Convex, every mention
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tap a year for its mentions
every year anyone Sujay Jayakar 15Shawn Wang 15Brendan Falk 3
Verbatim, from the transcripts: the passages where Convex comes up
⚡️No, Don't Do Palantir for AI - Brendan Falk, Hercules (AUDIO FIXED)
- ▶ 28:38 Brendan Falk We're using convex.dev under the hood, and I'll give them a big shout out. 3 times in the scene
Fullstack-Bench: The Eval for Coding Agents — with Sujay Jayakar, Chief Scientist, Convex
- ▶ 0:12 Shawn Wang Hey, and today we're very happy to have Sujay, who is co-founder and CTO of Comnex. 4 times in the scene
- ▶ 3:45 Sujay Jayakar Being able to now reproduce this and see how changes to the platform or changes to the backend, you know, like we, this framework supports convex, but we also compare it to Supabase and we compare it to like a more traditional kind of… 2 times in the scene
- ▶ 9:36 Sujay Jayakar We did notice that, um, I mean, with convex, it pretty much autonomously just solves the first two tasks. 2 times in the scene
- ▶ 12:54 Sujay Jayakar Like one example where convex didn't do super well is this hint at 48 minutes. 9 times in the scene
- ▶ 20:48 Shawn Wang Running Convex in, in the, in the age of AI, right? 6 times in the scene
- ▶ 26:01 Shawn Wang I think the last, like one of the other big impacts that Convex had in the AI engineering world that I saw that hit my consciousness at least was AI town, which, uh, which the AXXZ guys, you know, super value add investors, you know, up… 5 times in the scene
- ▶ 29:12 Sujay Jayakar It's like, you know, having just really tight feedback loops and having strong guardrails, like in convex, that's like end to end type safety, but that's like, you know, could take it in many, many different forms, right? 2 times in the scene