2,777 karma · joined May 11, 2014
Building https://tigyog.app
Granola is an AI notepad for people in back-to-back meetings. Our macOS app takes your meeting notes and combines them with a transcript to get an awesome meeting summary. And increasingly, Granola is a new kind of knowledge-base.
We're 15 people working in lovely Shoreditch office. See our approach to early-stage product development: https://www.granola.ai/blog/how-to-evolve-a-product
Stack: TypeScript, React, Electron, AWS, various LLM tech.
We recently raised $20M and we're growing very quickly. We're funded by Spark Capital, with participation from investors AI Grant, Lightspeed, Betaworks, Firstminute Capital, and others.
Open roles:
- Product Engineers (Backend & Frontend)
- iOS Engineer
- Electron Engineer
- AI Engineer
- Founding Designer
Competitive compensation with above-market equity.
See https://granola.ai/jobs or email hiring@granola.so.
Is this not still a top-down system, just with one level of indirection?
Something not-top-down might look more like the web-of-trust model.
Granola is an AI notepad for people in back-to-back meetings. Our macOS app takes your meeting notes and combines them with a transcript to get an awesome meeting summary. And increasingly, Granola is a new kind of knowledge-base.
We're 15 people working in lovely Shoreditch office. See our approach to early-stage product development: https://www.granola.ai/blog/how-to-evolve-a-product
Stack: TypeScript, React, Electron, AWS, various LLM tech.
We recently raised $20M and we're growing quickly. We're funded by Spark Capital, with participation from investors AI Grant, Lightspeed, Betaworks, Firstminute Capital, and others.
Open roles:
- Product Engineers (Backend & Frontend) - iOS Engineer - Windows Engineer (contract) - AI Engineer - Founding Designer
Competitive compensation with above-market equity.
See https://granola.ai/jobs or email hiring@granola.so.
Granola is like Apple notes, but it also transcribes your meeting to enhance your notes. We recently raised $20M and we're growing quickly.
Stack: TypeScript, React, Electron, AWS, macOS, various LLM tech.
We're eight friendly people working in a Shoreditch office. We're product-focussed generalists. See our approach to early-stage product development: https://www.granola.ai/blog/how-to-evolve-a-product
Open roles:
- Product Engineer
- AI Engineer
- macOS Software Engineer
- Founding Product Marketer
Competitive compensation with above-market equity.
See https://granola.ai/jobs or email hiring@granola.so.
People in back-to-back meetings use Granola to write summaries using their transcripts and raw notes. We're backed by top investors (Lightspeed, AI Grant) and growing quickly.
Stack: TypeScript, React, Electron, Node.js, AWS, native macOS APIs, various LLM tech.
Seven friendly people working in a Shoreditch office. We're product-focussed generalists. See our approach to early-stage product development: https://www.granola.ai/blog/how-to-evolve-a-product
Open roles:
- Product Engineer
- AI Engineer
- macOS Software Engineer
- Founding Product Marketer
Competitive compensation with above-market equity.
See https://granola.ai/jobs or email hiring@granola.so.
Edit: Answering my own question about the methods used: The story links to Robin Allaby's page [1] about his DNA test service. That page says he tests for "the Panthera, Puma and Lynx genera". An older story [2] describes Allaby's methods: 450 PCRs and ~600 sequence reactions. "The team searched for two gene targets each of deer and canid, but over 30 different cat gene targets."
[1]: https://warwick.ac.uk/fac/sci/lifesci/research/archaeobotany...
[2]: https://warwick.ac.uk/newsandevents/pressreleases/research_i...
Chrome on Android.
Hmm, "formulaic and inflexible" is exactly how I'd describe System 1, not 2. Am I misunderstanding their analogy?