Moreno Antunes @Solidous

Everyone said temp staffing was a terrible business. Low margin, no tech, unglamorous. 5 years later we’re the fastest-growing industrial staffing product in the country, and it’s why we built something no AI company can copy. Running labor inside the country’s biggest warehouses taught us how they actually break. So we built Neo to catch problems upstream. Early partners: 8+ hrs/week reclaimed per leader, 15% more site profitability, 90%+ fewer admin errors. Neo connects the systems that don’t talk to each other, spots the problem before it hits the floor, and acts on it...post-shipment exceptions resolved with zero human touch. Not a dashboard. An agent that runs the work while your team gets ahead of it. See what Neo can do–check out our case study with @ShipSmarter in the comments

@ctatedev Why skills?

@bcherny In claude SDK as well?

@leonardotipster Que bosta

@DannyLimanseta @mrdoob Are you running any sort of LLM QA on your local dev?

@jeffzchen @Traba_Work @grok isnt this amazing?

May has been an incredibly productive time at @Traba_Work, and we thought we'd introduce you to some of our latest teammates creating massive impact!

@jediahkatz Saying cursor harness is “so good” is a hot take

@davidvaughn006 @davefarley77 Isn’t readability subjective? I’d say optimizing for reading > optimize for thinking, but as our tools evolve and the abstraction level raises I am not sure where the balance is anymore

@alistaiir Does this use a terminal per process? Running out of pty devices already on my day to day workflow

A few weeks ago we gave every employee @Traba_Work — ops, sales, recruiting, finance — access to @claudeai Code connected to our dbs, design files, knowledge bases, sales pipelines, etc. 100+ people. Zero engineers. They built more in weeks than had shipped the previous year:

@alex_prompter Token burner

@milan_milanovic This post is a few years outdated

@Bender_MkII @paraschopra Well being #47 meant there were at least #46 learning opportunities before it vs none

@levie The interface and experience will be fluid and contextual, fully adaptable to the user needs.

Silicon Valley gets all the Series A funding. But have you seen what’s being built in New York? Here are the companies I’m closely watching …make sure to keep your eye on them: @TennrOfficial – AI automation for healthcare referral workflows processing 10M+ documents/month @outtake_ai – Agentic AI that detects and removes phishing attacks and identity fraud @ModelML_ – AI that generates pitch decks and investment memos in under 3 minutes @Traba_Work – Labor marketplace for light industrial temp workers with 95%+ fill rates @FINNYAI – AI prospecting platform for financial advisors with automated outreach @flip_cx – Voice AI automating 90%+ of customer service calls @retirable – Retirement planning platform with fiduciary advisors for middle-income retirees @tidalwave_ai – AI mortgage platform with instant pre-approvals via Fannie Mae/Freddie Mac @hifortunahealth – Medicaid enrollment platform reducing coverage churn by 15% @warpdotdev – AI-powered terminal for modern software development workflows @draftwiselegal – Contract intelligence platform using firm precedent and AI @ExtendHQ – Extended warranty platform resolving 98% of claims in 90 seconds @rallyuxr – User research CRM automating recruitment and scheduling @crosbylegal– AI law firm reviewing contracts in under an hour @AmbrookAg – Farm accounting software with Schedule F integration Let me know if I’m missing any!

@BohanZhangOT @PostgreSQL @OpenAI @BohanZhangOT which ORMs are being used currently? Are schemas updates handled by any framework or an in house solution?

Wth happened here today, my feed is full of ads… @X don’t need that

2025 was the year accurate intelligence became cheap and extremely powerful, giving engineers an Iron Man suit to do more than ever before. 2026 will be the year that AI leverage separates great engineering teams from the rest. So how do we prioritize AI leverage at @Traba_Work? Enter Roomba Rumble. Roomba Rumble is our way of celebrating engineers who maximize “Roombas” — background agent–led PRs that require minimal attention but have massive impact. Here’s some things we accomplished with Roombas in Q4: @TanzirisHere decommissioned our legacy event handling service, identifying migration targets and methodically working through them week-over-week. @sumeetbnsal replaced our legacy test infrastructure, cutting our CI times in half, and built Claude sub-agents to support our infrastructure. @Solidous became the first responder for operators' feature requests. Asks that once sat in a backlog now get shipped before others on the team even see them. @MaceoCk built a data analyst agent that generates research reports directly in Slack, turning guesswork into informed decisions. Other side quests have spanned the gamut: root-causing and patching noisy alerts, optimizing sluggish endpoints, even a Slackbot that randomly pairs teammates across functions to keep the culture tight as we scale. How did we celebrate them, you ask? With a turnover chain, of course. At Traba we celebrate the engineers who choose ambitious quests and see them through. Ultimately, we’re building a culture where force-multiplying AI leverage is owned by every engineer. If you want to apply frontier AI to the supply chains that stock your fridge, deliver your packages, and fill your prescriptions, come join Tanzir, Sumeet, Moreno, Maceo, and the rest of the team. Careers page below.

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