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Gumroad revenue is now verified on TrustMRR! 🤩 (I can't believe I just wrote this.) Thank you @shl for paving the way in the small bets world. And for allowing me to compute the 50M transactions. 😮💨 Here are 5 interesting facts: 1. Sahil built Gumroad in a single weekend. 2. He was only 19 years old and had just left Pinterest. 3. He ran Gumroad alone for nearly two years. 4. In 2021, Gumroad became one of the first startups to crowdfund equity, allowing its users to invest, raising $5M in a day. 5. The platform has now paid out around $1B to creators. Which startup do you want to see next on TrustMRR?
Ha, I almost forgot. Here's Gumroad revenue over the last 15 years: https://t.co/QqBMCIIddL
I took a look at the social media profiles of the founders of the top 15 startups with more revenue on this chart and 80% of them have less than 10k followers. I don’t want to draw any conclusion from this but it’s interesting because it goes against the common narrative that you need a huge following to be successful.
Marketer
I took a look at the social media profiles of the founders of the top 15 startups with more revenue on this chart and 80% of them have less than 10k followers. I don’t want to draw any conclusion from this but it’s interesting because it goes against the common narrative that you need a huge following to be successful.
Marketer
can a big lab plss train a massive model exclusively on synthetic data, including only and only correct raw type theory statements and proofs no English NO LEAN no metavars no tactics just core, complete terms in raw CoIC or similar then publish it pls thank you 🫶😍
Kind / Bend / HVM / INets / λCalculus
can a big lab plss train a massive model exclusively on synthetic data, including only and only correct raw type theory statements and proofs no English NO LEAN no metavars no tactics just core, complete terms in raw CoIC or similar then publish it pls thank you 🫶😍
Kind / Bend / HVM / INets / λCalculus
The amount of regurgitated AI slop I come across on DSPy is extremely frustrating. It pollutes the space so much. Some of that slop are people that half-generate their articles and the rest are just bots. How do these bots decide what topics to discuss?
Asst professor @MIT EECS & CSAIL (@nlp_mit). Author of https://t.co/VgyLxl0oa1 and https://t.co/ZZaSzaRaZ7 (@DSPyOSS). Prev: CS PhD @StanfordNLP. Research @Databricks.