Searching...
12 results for “automated transcription”
apptronik,uh,.com. And we're always hiring technical talent. So all across the engineering stack, if you're a great engineer, you wanna build a future, you wanna do it in a way that is designed, to have the best future for humans, then you should com
1:26:59 / 1:27:19
from transcript1:26:59 – 1:27:19
And Krypton kind of stuck at the back of my mind because that's the home planet of of Superman, which is adjacent to superhuman. Obviously, they eventually renamed Coda, and then, Shushu was brought in as well as the whole Coda team and products into
19:30 / 20:42
from transcript19:30 – 20:42
writes name of the companies, adds people, fixes permission and uploads same templates into each of these 10 folders manually. It's tedious, repetitive and by the time he's done, an hour is already done and the real work has not even started. Now ima
47:54 / 49:03
from transcript47:54 – 49:03
Hey, Sasser. Imagine having agents for every support tech. One that triages tickets, another that catches duplicates, one that spots churn risk. That'd be pretty amazing. Right? Happy Fox just made it real with autopilot. These prebuilt AI agents dep
52:23 / 52:52
from transcript52:23 – 52:52
...one is fully automated and custom. So I can see it into the future. Like, it can do things our tools can't. For example, it extracts the latest SaaStr video. Like, the minute we're off this one, it will go into that automated newsletter with no work.
34:32 / 35:33
from transcript34:32 – 35:33
All the questions. Every there's a lot of people in this room, but we will answer every single person's question on all of this when we're back and we'll do a follow-up or maybe even two live for folks in this room. Yeah. Hopefully, this is helpful.
47:13 / 48:00
from transcript47:13 – 48:00
Because they're the standard. Atlassian is the standard and they are generous to startups because they were once a startup. I remember meeting them twenty years ago in Australia. What a great company. Head to atlassian.com/startups/twist for complete
32:15 / 33:22
from transcript32:15 – 33:22
Yeah. I I would not you said as well, endlessly testing tools. You got you gotta dig in and and go deep, learn from it. And Jason has said said as well, it's about doing AI instead of learning AI. I think if you try to read all the papers and not do
51:45 / 52:52
from transcript51:45 – 52:52
it. Everyone wants an autopilot. Everyone wants to buy a tool and disappear. It does not work that way. You those you can have crappy output. You can have crappy LinkedIn posts. Hey, everybody at SaaStr, connect data, automate busy work, and empower
0:46 / 1:48
from transcript0:46 – 1:48
Jason, well, thank you for doing this, man. This was awesome. We had all the stuff I wanted to get into. This lived up to my expectations. So appreciate it. Appreciate everything you do for us. And me personally, I know I'm a broken record. I say thi
55:18 / 56:09
from transcript55:18 – 56:09
describe what you need in English. And without any kind of coding or setup, automations could be generated on the fly almost as easy as talking to a Siri or chatting with chat GPT. And essentially, what we developed was a large action model that coul
4:29 / 5:31
from transcript4:29 – 5:31
Hey, Sasser. Imagine having agents for every support task. One that triages tickets, another that catches duplicates, one that spots churn risk. That'd be pretty amazing. Right? Happy Fox just made it real with autopilot. These prebuilt AI agents dep
1:02:52 / 1:03:21
from transcript1:02:52 – 1:03:21
Have a podcast?
Run your podcast through Clypt
Get ranked clips, hooks, and ready-to-post copy from your own episodes. Free to try.