Is this the AI era's version of "Twitter for cats?"
F your AI b2b SaaS.
We just launched Palantir for booking meetings.
The last 14 days, companies like @MonacoGTM , @Nowadaysai, @Rippling , @salesforce , @marketercom, @posthog , and @retellai spent $100k+ with us on literal cakes.
From today, Daymaker finds your prospects, reads their entire digital footprint, buys the one gift that makes their day, and gets you the meeting.
Comment your name and I'll reply with everything Daymaker finds on you and the gift it would send you. If you dare. 🎁
I met @MilksandMatcha 3 years ago and this is exactly in her power alley. Great to see folks finding ikigai
“Do you think that getting married young has made you less ambitious?”
Welcome to the first episode of SOTA Wives with Sarah Chieng (Head of DevX at Cerebras, @MilksandMatcha) x Vivian Midha Shen (General Partner at Y Combinator, @vivianmshen).
In episode 1: finding your person before getting rich, turning down startup funding to finish MIT, what a YC partner sees in founders, and how a birthday post became “psychological violence.”
4:08 Finding your husband before the exit
8:48 Did we marry away our ambition?
18:04 The internet called Sarah's birthday “psychological violence”
20:47 Does your YC partner secretly think you’re doomed?
23:47 Building a startup with your ex-boyfriend
28:54 SF cat parties
The new Gmail app has more whitespace, takes longer to load, and is less information dense.
This is horrible. AI could have easily done better
Lol insane! Max serendipity here and congrats @mmurph. It's a great company and a great investment
I called it wrong! @a16z and Martin, @AnjneyMidha, and the whole team has absolutely crushed it this cycle and the big inception rounds were the right call.
@eriktorenberg lucky for me we didn't take a bet 🙂
Iykyk
belief's got some new looks! 🍊
mostly stealthy for the last year, but team cooked on a new website that expresses our worldview!
check it out: beliefcapital.co/
I feel like an old unc having lived this. @sama was early to SoMoLo (Social Mobile Local) and every major titan would make a move to copy and try to replicate Loopt.
Ultimately the entire market was wrong. A breakout in local never really happened in the way folks thought.
This is Sam Altman at 25 years old, pitching Loopt to a person in a diner
It’s strange to watch now because he runs one of the most influential companies in the world
The app was a location-sharing app but nobody thinks about it when they think of Sam
It got me wondering how many founders are probably in their Loopt era rn?
The company they’re working on may not be the one they become known for
It might just be the company that teaches them how to sell, hire, raise money, and keep going long enough to find "it"
But at the time, it looks like a kid trying to explain a weird location app to a stranger over lunch
I'd like to report a murder.
Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there.
New connectors are live today. Come build with us. muse.ai/platform
YC was very clearly the good guys back in 2014 and earned their place in Silicon Valley
Edit: ok everyone what do you expect me to say. "Was and still is?" I'm not sure English is that perfect that there's a single word to convey past and present while talking about 2014
Babe wakeup, new YC email just dropped.
git clone https:///github.com/breck7/breck.lol
Paul Graham was, in his own words, "horrified".
Sam Altman gets the idea of doing a deal with Microsoft, one of many of my ideas he would later copy.
What else is out there we don't yet know?
Investigate/YCombinator
I'm not smart enough to make predictions about Instinct.
But if they succeed, it'll be pretty funny to see all haters be wrong. If they fail, it'll also be pretty funny to see all these kingmaking VCs eat humble pie.
Either way, I commend you @noahrshinn for LOLmaxxing
I don't think folks realize that we've had "auditors" for these AI systems for decades.
Google, Amazon and Meta have Safety and Privacy teams on their Ranking groups as well as special interest groups (understanding blowback from e.g. Political factions) that would discuss and govern things like whether the LGBT community would get mad at using gender as a ranking signal in ads (real situation). Or whether the ads showed up next to political or pornographic content too many times for the advertiser to feel comfortable. All these systems are probabilistic so every decision was a tug between the product team optimizing their metric and the safety teams optimizing theirs. And usually one comes at the expense of the other.
I'm not particularly sure that's going to be the move forward answer. The experiment has been run before.