Steve Wineriter (American Diamond) on Going From Stuck at $45M to a $100M Run Rate episode artwork

EPISODE · Aug 28, 2026 · 1H 2M

Steve Wineriter (American Diamond) on Going From Stuck at $45M to a $100M Run Rate

from The Freight Show · host Vooma

Most brokerages that stall in the $40-50M range never get out. The math is unforgiving: growing means hiring, onboarding, and training faster than the volume arrives, but staffing ahead of volume burns cash you don't have yet. American Diamond Logistics sat at $44-45M for three straight years. Then, in a matter of months, its run rate jumped to nearly $100M.Steve Wineriter has been in freight since 2002, when he joined his dad's 3PL out of college. After founding American Diamond, he made a decision that had no business working: in 2016, as a roughly $5M company, he built his own TMS and GPS tracking platform, sketched out on an actual bar napkin after a chance meeting on a shuttle bus. Navigator and Freight Tracer went live January 1, 2017, and within five years the company had scaled past $50M. One of the largest 3PLs on the planet later subcontracted American Diamond on one condition: don't show the client your technology, because it's better than ours.In this conversation, Steve breaks down what it actually takes to break through the revenue ceiling: why the plateau is a staffing math problem rather than a sales problem, how automating carrier calls, load sheets, appointments, and track and trace turned a floor that sounded like the New York Stock Exchange into a quiet one, and why his agent department went from zero to over $20M in three years. He also gives his read on the strangest freight market of his 25-year career.What you'll learn:- Why the $50M ceiling is a staffing math problem: the chicken-or-egg trap where 3PLs wait for volume before hiring, then can't onboard fast enough when it arrives- The bar-napkin TMS: how a $5M brokerage built Navigator and Freight Tracer with outsourced developers and why owning the roadmap became the business model- Why Steve wanted a sales-centric TMS when everything on the market was a back-office data placeholder, and how it changed his reps' first 60 seconds with a prospect- The Starbucks meeting where one of the biggest 3PLs in the world asked American Diamond to hide its technology from a shared client- Why the agent model outpaces hiring salespeople: non-solicits handcuff new hires for 12-24 months while agents bring their book with them- What changed on the floor: 15-20,000 inbound calls a week, now handled without a human picking up, and Steve's motto that AI handles the transactions so staff can manage the relationships- How John Drager, one of the leading figures behind Landstar's agent success, is scaling American Diamond's agent department- Steve's market read: why this is a supply-driven market unlike anything since he started in 2002, and why he thinks demand in 2026-27 could outpace COVID- Why data is currency: how capturing every spot quote gives American Diamond pricing visibility when tools like DAT are going back to the drawing boardTime-stamped highlights:- (00:00) Intro and Steve's vision for a technology-centric 3PL- (02:19) The old solicitation model: a salmon swimming upriver- (02:48) Building a TMS at $3.5-5.5M in revenue with no business doing it- (04:39) The trampoline park, the shuttle bus, and the chance meeting that started it all- (05:38) Sketching the TMS on an actual bar napkin in New Orleans- (06:07) Building a GPS platform without knowing Macro Point existed- (07:29) Spinning the technology out as its own company and giving developers equity- (07:58) Why the TMSs of that era were back-office data placeholders, not sales tools- (08:57) Going live January 1, 2017 at $6M and scaling past $50M in five years- (10:34) The mystery call that turned out to be one of the biggest 3PLs on the planet- (11:26) "Do not share your technology with the client, because it's better than what we have"- (13:27) Starting in freight in 2002, when a loaded trailer disappeared around the corner- (14:23) Tracking through the driver's phone, pinging every five to ten minutes- (15:50) Fighting 30-40% driver acceptance in the early days- (18:53) Turning internal lane data into a carrier RFP tool- (19:46) Covering a load at the projected rate in three minutes with a 500-carrier blast- (22:00) Learning the business at his dad's 3PL and discovering the agent concept- (23:25) Why agents scale faster than salespeople stuck under non-solicits- (24:22) Over $20M in agent revenue by the third full year- (25:47) What agents actually care about: the split and the model- (29:16) Change management with traditional agents and the light-bulb moment- (31:17) The floor that sounded like the New York Stock Exchange, now silent- (33:43) John Drager, Landstar, and "I hope you're ready for hundreds of millions of dollars"- (39:22) Three flat years at $44-45M, then a run rate near $100M- (41:19) The chicken-or-egg staffing trap that keeps 3PLs at the ceiling- (42:12) 15-20,000 inbound calls a week and the opportunities that got missed for 15 years- (44:21) "I was not a very good operator back then. We were just printing money."- (45:18) AI handles the transactions so staff can manage the relationships- (48:09) Educating shippers: the first one to find a truck gets the load- (50:37) The strangest market in Steve's 25 years and what makes it supply-driven- (52:58) Why demand in 2026-27 could outpace COVID- (58:49) Data is currency: capturing every spot quote- (59:17) How AI agents should talk to dispatchers, and avoiding carrier fatigue- (01:02:03) What Steve is most excited about for the next 12 monthsGuest:Steve Wineriter — Founder & CEO, American Diamond LogisticsSteve started in freight in 2002 at his father's 3PL and went on to found American Diamond Logistics, where he bet a $5M company on building its own TMS and GPS tracking platform in 2016. That technology became the business model: American Diamond scaled past $50M within five years of launch and now sits at a run rate near $100M, powered by a fast-growing agent department and an operating model where AI handles the transactions and people manage the relationships.

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