With that, you’re basically current to where we are. We’ve built a lot, but we have a lot more to build, test, rebuild, and test again.
In the near-term, we want to form more partnerships with podcasts. There’s a huge amount of work to do on our machine-learning transcription pipeline, and on our player UX. We have to recruit more developer, designer, and data science talent to do that. Although we have a pretty good idea of where to go with this, we still need to prove a revenue model (or models).
And it’s going to require resources to get there! We’re extending our pre-seed so we can hire an extremely experienced C-level resource (and because San Francisco is expensive). If you’re interested in joining us as an investor, happy to chat.
There’s also the larger vision. The more we build, the more we realize that what we’re doing is hard…really hard. We also know that we’re onto something. Here’s where we think we’re headed:
- Folks go nuts over the prototype player interface. It’s a sea-change improvement in navigation, deep-linking, SEO, and sharing over traditional consumption. And hey, that spells network effects! Better discovery for listeners, better adoption for podcasters. The more we polish the UX to support everyday podcast consumption, the more true that will be.
- Correction is sort of fun; we can make it funner. By feeding human corrections back into our speech-to-text corpora, we can improve our transcriptions, getting even better results for podcasters. And because we’re dealing with power-laws—we’re only trying to solve for one podcast at a time, not all of human speech—we might even be able to get there faster than some of the bigger players.
- By doubling-down on machine learning, we can start to link podcasts up in a social graph. Imagine being able to follow your favourite hosts, no matter which podcast they’re on. And that’s just the beginning. Once voice audio and transcript are fungible, we can perform on voice audio any operation that today is only possible with text.
- There are a lot of places we can go from there 🙂
Maybe more importantly—and relevant to our work with Matter—we believe that speech, the most essential form of human communication, is key to improving understanding, empathy, and accessibility of discourse on the Internet. Having the opportunity to work on this is exciting; we feel incredibly fortunate. Here’s to a great next few months at Matter, and beyond.
Thanks for reading! Follow our progress @signlfm. And don’t hesitate to drop us a line anytime; we’re friendly. Looking forward to talking to you again soon.
Kim & the rest of the Signl.fm family: Kelly, Rainer, Jim, Cam, Sam, Safiyya, Richard, Ray, Greg, David, Javier, Justin, Jacques, Karj, Jenn, Clifford, and Daryl.
P.S. Hello to Jason Isaacs, David Morrissey, Stephen Fry, Fairport Convention, and Roman Mars #HTJI.