
Director of Engineering @traba_work | Formerly: Co-Founder @pixleeturnto. @MIT @StartX @facebook alum. IG @djsupaflytnt. A yellow belt at everything.
Brooklyn, NY
Joined December 2009
- Tweets1.4K
- Following424
- Followers488
- Likes3.7K
Pinned Tweet
“It’s not about proving the haters wrong. It’s about proving the believers right” - @kwong47
How does Jev stack up against OpenAI Decisions, Clef, and a traditional LLM? We tested 4 AI models on 9,026 real world decisions across text, images and video that we execute every day at @Traba_Work
Full bakeoff 👇traba.work/company/engineeri…
Jeff Zhifan Chen retweeted
We are releasing Ultramarine 1 Flash, a frontier-class model built for knowledge work. It is open-source and achieves similar performance to Fable 5, while being 60x cheaper.
It was post-trained by a team of 5 for ~$300k all-in. Available on API now, with weights releasing in 2 weeks.
Today, I’m excited to introduce @safeworldai!
Our mission: improve robot safety for the next billion machines.
AI is moving from screens into the physical world. Robots are becoming more capable, more autonomous, and increasingly operating around people.
But more capable robots require more capable ways to test them. 🧵
great team and great product. been a pleasure to work with the @automat_ai squad, we love our Jarvis!
Jeff Zhifan Chen retweeted
One of our best KV portfolio companies is hiring a COO to lead the business alongside the CEO. $50M+ in annual revenue, using AI to drive efficiency in complex, real-world supply chain operations.
If you’re interested or know someone who could be a fit, contact me.
GROWTH FOUNDERS: HIRE A NEAR-PEER
A portfolio founder approaching $100M in ARR asked me about the single biggest and most impactful hire they can make.
I thought for a bit tand said: "Hire a near-peer".
In every generational company I've been part of, the founders hired a near-peer, who was essential to the company's success.
- Google: Larry and Sergey hired @ericschmidt .
- Facebook: Mark hired @sherylsandberg .
- Square: Jack hired @rabois .
- DoorDash: Tony hired @chrispa
- Coinbase: Brian hired @emiliemc
Characteristics of a near-peer:
1. They're so good that the founder will be fine reporting to them if the roles were reversed. (Mark has said publicly that he'd be fine reporting to Sheryl)
2. Their strengths perfectly complement the founder's strengths; however, they share many cultural attributes with the founder and pass the founder's airport test, since the founder will be spending a ton of time with them (example: Eric being a Computer Scientist, which was culturally very important at Google back in the day)
3. They're systems builders who have already operated at the scale you're growing into. Pattern recognition on $100M to $1B is not something you build in real-time.
A near-peer lets the founder focus on what only the founder can do (product, vision, culture). The near-peer handles everything else.
Also, near-peers stay for the long haul. Decade-plus tenure is standard.
The reason this hire matters more than any other: after $50M ARR, the bottleneck shifts from product-market fit to organizational scale. The founder is still the visionary. But the company needs someone who has already scaled a company of that size.
Most founders wait too long. They hire functional VPs first (Sales, Marketing, Engineering, Finance) and hope the collective covers the gap. It rarely does. A stack of VPs reporting into a founder who has never scaled a company creates coordination overhead, and the founder becomes the bottleneck.
The near-peer absorbs that overhead. They turn the founder's vision into daily operating decisions. They give the VPs a leader who has actually run a company this size.
Growth founders: if you're between $50M and $300M in ARR and every week feels like a coordination tax, the near-peer is the hire that determines whether you build a $10-100B company or top out at $1B. Start the search now, ideally through warm intros from your venture/angel investors and advisors.
Next Wednesday, August 26, @Traba_Work and
@paraformtalent are hosting tech talks in NYC, to answer:
How do you build agents that survive the variance, scale and chaos of the $40 trillion global industrial supply chain?
Signups here! luma.com/jxq65cgo
Jeff Zhifan Chen retweeted
I booked one of the best event venues in NYC for... breakfast.
Rooftop over Lower Manhattan. A 60 ft Italianate dome. Inside a building that used to be a bank. Endless skyline views, food and drinks covered.
For a two-hour breakfast.
Worth it — because of who's going to be in the room.
The morning of the Northstar Warehouse Innovation Summit, Traba is hosting leaders from 3PLs, manufacturers, cold storage, and brands. No panels, no pitches. Just the folks who run the industrial supply chain, comparing notes on what's actually working right now.
📍 The Greenhouse at Nine Orchard
📅 Tue Aug 25 · 10:30am–12:30pm
If you're heading to the Summit or in NYC that morning, we've got a few seats left.
RSVP at link below, or send me a message to grab your spot.
🤖 Made with AI
Condé Nast referred to the Amangiri resort as "what a luxury hotel on the moon would feel like." 🌙
I want to send you there for 5 nights.
The quid pro quo: refer me a world class engineer in the next 30 days.
Jeff Zhifan Chen retweeted
Everything you touched today arrived through the global supply chain: the coffee at your cafe, the iPhone in your hand, the box on your porch.
None of it got there by magic. It got there because somewhere in middle America, a warehouse supervisor is closing gaps by hand — before the day goes sideways.
Software drove the cost of information toward zero. The physical world never got that treatment. The part of the economy everyone actually depends on is the part software never reached.
We've spent five years inside it. What the physical economy needs is a brain above the operation. We're building it. We call it Neo.
We just productized side quests @Traba_Work by turning every agent into Leeroy Jenkins.
The idea: most of us have subscription tokens we don't fully spend. Quest Board gives that surplus somewhere useful to go: gamified tech debt.
What features should we add?
Software engineers are going through an ego death.
(good thing, btw — the ones who can't cross over are NGMI.)
AI ate the part of the job most of us built our identity on: writing code.











