jacob goldschein

Someone turned the AI CEO drama into a Spanish soap opera!

introducing eaglesend linkedin outreach at email scale, hundreds of dms a day per account with no connection cap we built it in-house after every tool we rented broke at our volume 4M+ linkedin dms later, now anyone can use it comment "SEND" for access (+20% off)

If your head of growth cannot generate growth for their personal brand, how can they do for your business?

the founder of Conversion Factory just open sourced his entire marketing brain as Claude Code skills. 55,700 stars. install it and tell Claude what you need done. 43 skills. one repo. it covers: → CRO, landing pages, signups, paywalls, onboarding flows → copywriting, copy editing, cold email, lifecycle email → SEO, AI search optimization, programmatic SEO → paid ads, pricing, referrals, churn prevention, launches → influencer marketing and co-marketing strategies skills cross-reference each other, your product marketing context feeds every other skill automatically. works with Claude Code, Codex, Cursor, and Windsurf. if you sell marketing services or run client campaigns, install this first. github.com/coreyhaines31/mar…

What's Hot in B2B: Infra, Security Not: GTM

The next wave of millionaires won't be: • Creators • Vibecoders • Day Traders The next wave of millionaires will be:

Next year, I will give one of my SpaceX shares to every kid in America. This will be the first of many.

after an exciting week of launches (muse wonder [full] & muse spark open), i want to write a note of appreciation to the amazing research teams at meta superintelligence labs on reaching such a special milestone ♥️ we started MSL and TBD a little more than a year ago and set a goal of producing a frontier model within a year or so. given where llama4 landed, that was an incredibly audacious goal, and we knew it wouldn't be easy. many people told us it would be impossible. we knew it was unlikely, but still worth doing. a remarkable group of researchers and engineers joined the effort from inside and outside meta. every single person came in, picked up a shovel, and got to work with earnestness and urgency. nobody asked whose job it was. we assembled a team of the most brilliant people i have ever had the opportunity to work with (and remember, i was an HRT intern 🙃). i am surrounded by ambitious, visionary, technically excellent, hard-working, pragmatic, thoughtful scientists, engineers, and product folks—people who will chase a weird loss spike past midnight just because they need to know why. these models are the product of their passion, hard work, and brilliance. somewhat paradoxically, when we started TBD, we set a principle of no deadlines. we knew we had an astronomical amount of work ahead of us—across pretraining, post-training, RL, multimodal, infrastructure, safety, data, AND frontier research. there was no use setting arbitrary timelines—we just had to get to work, be thoughtful, and build the foundations of a frontier research effort in record time. and run after run, this team did exactly that. our researchers are magicians. i can only describe building these models with this team as a wondrous journey of scientific discovery. i am constantly amazed by what we can accomplish with scaling. i will remember this past year for the rest of my life—the late nights, the broken runs, the evals that came back better than any of us dared to hope. watching this team create wonder after wonder has been a true and deep gift. more than just the models we released this week, we have built a machine that builds new models. it often sounds like a cop-out to say labs can just turn the crank to keep scaling, but now i have seen it first-hand. sure, it's a lot of work and a careful process, but we have built a scalable system to keep advancing at the frontier, and i am really proud of how fast this team keeps making these models better. lastly, i get to work with researchers who care deeply about how their work benefits humanity. it's easy to forget when everything is changing so fast, but the whole damn point is to make people's lives better. time and time again, i have seen our researchers, engineers, and product folks build our technology with care so it can truly be good for the world—whether that's building the best models for muse, thoughtfully open-sourcing strong models, or making sure the alignment and security of our systems are rock solid. this is a team of people who never forget there's a real person on the other side of every prompt. thank you to everyone at MSL for being part of this crazy journey over the past year. i'm so grateful for every one of you, and our work is not done!