190 karma · joined June 17, 2020
Every time a barrier drops (samplers, synths, autotune, GarageBand, sample packs) this argument gets made and it is partly right. Plenty of what gets made on our platform is complete slop but if your only contribution to a song was a "make a pop song" prompt that's what you deserve. You are right that nobody was ever short of music - but many people are short of a way to make it so we build for them.
I made some here with our last model: https://elevenmusic.io/artists/elevenmusic-spaces
We have a curated list of v3 voices in the library, but feel free to try others to find what works. Make sure language <> voice language match.
Billing component is noted, round-up doesn't seem fair. Let me check this.
It's always easier to communicate what you are not, so let's begin there:
- drag and drop query builder - absolute prettiest graphs - tailored to the least sophisticated user
In addition to what I think we are not, I think there is some space for our belief about what the data space is/is not:
- We don't think data self-serve is possible but rather small datasets can be tailored. Fundamentally it comes down to complexity and data is complex. It takes expertise/skill to get value from data.
- It takes experts to get value from data, but as systems get better it will take fewer.
- Businesses should not be data driven, they should be reason driven.
- We don't think data dominates business, it's a supporting tool and so we don't think it will every the entry point for everything but rather supports process, so we want to appear in places where we can support that reasoning, like a chart in a Notion doc.
Now a few bits about what we are:
- Tool for those experts and engineers
- Tool to make them the most productive ever
- Prevent messes that people get themselves in in BI by injecting software engineering practices into the process (we know many companies with full time employees responsible for cleaning up messes)
The simple answer is yes: Our focus is code first, from modeling to charts and dashboards, and not self-serve.
We often found that keeping BI applications/dashboards organized is very difficult so we're adding engineering practices.