The company’s origin story is incredible. 🔥
How @OthersideAI founders @mattshumer_ @MilesFeldstein and @JasonKuperberg amassed a 13k waitlist and $2.6m funding after building a demo in 2 hours.
Their product will change how we communicate. 👇🧵
The company’s origin story is incredible. 🔥
The idea for OthersideAI came from an experience CEO Matt Shumer had at his previous startup, Visos.
“I eventually came to the conclusion that I spend too much time writing emails and I tried to figure out a way to use [GPT-2] to cut that time down” -MS
Open-source artificial intelligence by OpenAI.
Developers wield the AI to perform certain specific tasks.
In this case, composing emails.
We built that, and it actually worked out really, really well.” -MS
Around this time OpenAI announced and released GPT-3, the successor to GPT-2.
It was so more advanced than GPT-2 it may as well have been called GPT-10.
OpenAI had an approval process and a long waiting list.
Not wanting to waste anytime, the OthersideAI team cold emailed the CTO of OpenAI, Greg Brockman, in an attempt to fast-track the process.
It worked! 💪
“The day we got access [to GPT-3] we decided to see what we could do… and within about 2 hours we were able to whip up a demo that was just miles ahead of what we had. We really had something that can truly write emails for you.”—MS
Matt Shumer said they were able to move that fast because of their prior experience experimenting with GPT-2.
Fair enough. But still…
It ‘went viral’ and generated hundreds of thousands of views.
Eventually over 1 million. 📈
This led to coverage in major publications like the New York Times.
It looked like you were viewing the future today. 🔮
The product they're building transforms basic text into a well-written email.
Input 👇
Their long term vision is to free up billions of hours of time for working professionals globally.
Game-changing. 👀
When it’s combined with a truly valuable and futuristic proposition like this, twitter can go wild.
And, it did. 💥
At the time of writing their waitlist is around 13,000! 📈
You can add yourself to the list here. 👇
https://t.co/mNLDztADi5
If you want to hear more on that and grab a breakdown on their launch framework, I wrote it up here👇
https://t.co/KXUkuTkrNN
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Buffett's letters taught me more about investing than any business school ever could.
Even after investing for 14 years, I uncover new insights every time I reread his letters.
Recently, I reread his letters from 1977 to 2020 for a third time.
Here are my key insights:
1. Moat is NEVER stagnant
A company's competitive position either grows stronger or weaker each day.
Widening the moat must always take precedence over short-term targets.
2. Commodity businesses
A business without moat will have its returns competed away.
Regardless of improvement, your competitors will quickly copy your advantage away.
Where returns on capital is dismal, reinvestment will only destroy value.
3. The flywheel effect
Buffett was preaching about the flywheel effect before it became cool.
Back then, newspapers were similar to today's platform businesses like Amazon, Meta, and App Store.
More readers beget more advertisers beget more readers.
4. Operating leverage
Companies with high fixed costs and low variable costs will see earnings rise faster than revenue.
However, it cuts both ways.
It becomes a disaster when revenue is declining.
Check out my article on how operating leverage works: https://t.co/Nv747oBAK0
Even after investing for 14 years, I uncover new insights every time I reread his letters.
Recently, I reread his letters from 1977 to 2020 for a third time.
Here are my key insights:
1. Moat is NEVER stagnant
A company's competitive position either grows stronger or weaker each day.
Widening the moat must always take precedence over short-term targets.
2. Commodity businesses
A business without moat will have its returns competed away.
Regardless of improvement, your competitors will quickly copy your advantage away.
Where returns on capital is dismal, reinvestment will only destroy value.
3. The flywheel effect
Buffett was preaching about the flywheel effect before it became cool.
Back then, newspapers were similar to today's platform businesses like Amazon, Meta, and App Store.
More readers beget more advertisers beget more readers.
4. Operating leverage
Companies with high fixed costs and low variable costs will see earnings rise faster than revenue.
However, it cuts both ways.
It becomes a disaster when revenue is declining.
Check out my article on how operating leverage works: https://t.co/Nv747oBAK0
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The entire discussion around Facebook’s disclosures of what happened in 2016 is very frustrating. No exec stopped any investigations, but there were a lot of heated discussions about what to publish and when.
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
The story doesn\u2019t say you were told not to... it says you did so without approval and they tried to obfuscate what you found. Is that true?
— Sarah Frier (@sarahfrier) November 15, 2018
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
