Scribe | Senior Software Engineer, Growth Engineer | React (Next.JS), Python | SF or Remote | https://scribehow.com
Scribe is a product-led growth (PLG) startup with 1M+ users based in San Francisco that is growing our team on the basis of user love and revenue. Our product is dead simple - record yourself doing any workflow, and Scribe will auto-generate step-by-step documentation to share with colleagues or customers anywhere. Behind the scenes, we have lots of compelling engineering challenges to make that happen. Join us on our journey to make capturing and sharing knowledge fast, easy, and fun!
We've found that rolling our own spam model can be very effective (especially at improving precision). Many sites have their own quirks around what material counts as spam which leads to false positives or negatives wherever your site differs from the norm. No need to go to GPT4 though. We've found even low compute algorithms like random forest perform quite well at the task. You do have to create your own training set, but even a few hundreds or thousands of manually sorted examples can work pretty well.
A little frustrated by the ambiguity of the $100M in the post. Is that capital raised, ARR, GMV? Makes a big difference in terms of understanding what kind of business they built.
We talk about the Diátaxis model a lot at Scribe (scribehow.com) where we feel like the how-to guide gets very little love from most of the traditional documentation platforms, which feel like they were all designed for reference material and not much else.
Scribe | Senior Software Engineer, Growth Engineer | React (Next.JS), Python | SF or Remote | https://scribehow.com
Scribe is a product-led growth (PLG) startup with 1M+ users based in San Francisco that is growing our team on the basis of user love and revenue. Our product is dead simple - record yourself doing any workflow, and Scribe will auto-generate step-by-step documentation to share with colleagues or customers anywhere. Behind the scenes, we have lots of compelling engineering challenges to make that happen. Join us on our journey to make capturing and sharing knowledge fast, easy, and fun!
Here's my understanding of the plan based on the Fed's description[1]:
The Federal Reserve has created a new program that provides a backstop to banks based on the par value of their assets, rather than the market value. This is huge because the issue here is that the assets on a bank’s books are baskets of loans (typically mortgages or loans to the US government) that are very safe but have lost market value because interest rates have risen. However, at par (what they'll pay over their lifetimes), they cover all the bank’s deposits.
Mechanically, the way this would work would be that if a bunch of depositors all withdraw at once, rather than the bank having to sell that basket of loans at a big loss, they’ll borrow from the Federal Reserve instead. That way, they won’t take a loss and won’t end up insolvent. Depositors get their money and everyone would be happy. Since everyone now knows this is possible, in all likelihood this won’t actually get used that much because it’s safe to leave your money in the bank.
"I must study politics and war that my sons may have liberty to study mathematics and philosophy. My sons ought to study mathematics and philosophy, geography, natural history, naval architecture, navigation, commerce and agriculture in order to give their children a right to study painting, poetry, music, architecture, statuary, tapestry, and porcelain." - John Adams[1]
Scribe is a product-led growth (PLG) startup with 1M+ users based in San Francisco that is growing our team on the basis of user love and revenue. Our product is dead simple - record yourself doing any workflow, and Scribe will auto-generate step-by-step documentation to share with colleagues or customers anywhere. Behind the scenes, we have lots of compelling engineering challenges to make that happen. Join us on our journey to make capturing and sharing knowledge fast, easy, and fun!
Apply at https://scribehow.com/careers