daniel scott mitchell

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daniel scott mitchell

daniel scott mitchell

@danielmitchell

cofounder https://t.co/51NYfmty49. ex-superfactory engineer, now building tech to help make every factory super. 120+ factories visited, 1000s to go. also @nextbytepodcast.

Washington DC, USA 🇺🇸 Bergabung Şubat 2015
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daniel scott mitchell
daniel scott mitchell@danielmitchell·
most people building for factories have never stepped foot in one. so... we're fixing that 🫡 this summer, @MorellCarson and I are driving across America touring 100+ factories. no sales, no slide decks, just listening & learning. this thread is a log of all we're seeing on the shop floor: real operators, scrappy problem solving, and signs of an American manufacturing comeback. 🇺🇸 👇 I will continue adding our updates below:
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Ryan Denehy
Ryan Denehy@DenehyXXL·
@eringriffith Early stage companies who slap their names on race cars don't often end well
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erin griffith
erin griffith@eringriffith·
A detailed and brutal look at the tactics of buzzy AI compliance startup Delve "Delve built a machine designed to make clients complicit without their knowledge, to manufacture plausible deniability while producing exactly the opposite." substack.com/home/post/p-19…
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Timmy Seto
Timmy Seto@TimmySeto·
Good morning :) My eyes are getting deep fried by all the screens when I walk into the shop
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daniel scott mitchell
daniel scott mitchell@danielmitchell·
me to customer: "yes we do everything in-house" my #1 supplier:
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Nathan Halberstadt 🧊
Nathan Halberstadt 🧊@NatHalberstadt·
I really need a printer that has zero screen, wifi, or bluetooth connection. I just want to be able to plug a usb cord printer --> computer Hit print, and have it actually work every time
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James Hartman
James Hartman@jrhartman131·
We are running out of space
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Connor Kapoor
Connor Kapoor@connorkapoor·
Name on the door 🏭
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Sebastian
Sebastian@ItsSeb03·
Three offer letters sent, three offer letters signed, three more manufacturing jobs created today. 🇺🇸 🏭
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Michael Arrington 🏴‍☠️
Something I've learned the hard way is that a 2x4 isn't actually 2 inches by 4 inches. It used to be, but not anymore because of course.
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Jack Watson
Jack Watson@jack_watson_hfw·
The tough part about manufacturing is that your success is not fully about how smart you are or how hard you work. Your success relies on people and processes that can vary wildly. This can be incredibly frustrating, but it is also invigorating and why I am so focused on building a world class team.
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Dustin Walper
Dustin Walper@DustinWalper·
New piece of equipment waiting for me in Austin. Going completely overboard on a personal gym is turning out to be my favorite side quest of all time.
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daniel scott mitchell
daniel scott mitchell@danielmitchell·
building fast & affordable MFG tech is made 100x easier when you have fast & affordable providers in your stack thank you @michaelfreedman @acoustik and team for being our easy #1 choice for time-series data check out @FarbTheBuilder's interview with tigerdata 👇
Tiger Data - Creators of TimescaleDB@TigerDatabase

Most industrial machine monitoring is designed for large enterprises. High costs, rigid 10-device minimums, multi-year contracts. Small and mid-sized manufacturers, the backbone of the supply chain, are locked out. Takton built Sense Manufacturing to change that. Affordable machine monitoring that starts at one device. Approximately 30% lower total cost in year one, up to 70% lower in subsequent years compared to competitors. The team initially evaluated InfluxDB. It performed well for high-frequency data across a limited number of streams, but couldn't deliver on their production requirements: ingesting data from thousands of devices, each reporting power and vibration a few times per minute. They also wanted to avoid stack fragmentation. Their first product ran on Supabase using standard SQL and Postgres. Adding InfluxDB would mean maintaining a second query language and storage paradigm for a small team. Why they chose Tiger Data: ▪ Built on Postgres—kept a single SQL-based stack ▪ Designed for high-rate data ingestion from thousands of devices ▪ Tiger Cloud offloaded operational burden from a two-engineer team ▪ Hypertables provided automatic partitioning for reliable ingestion at scale Two months from first commit to devices live in customer facilities. One pilot customer's CNC machine failed after Sense flagged anomalous vibration readings for four days, but notifications weren't enabled. The failure cost $50,000 and three months of downtime. With alerts on, it would have been a $3,000 part change. How this startup shipped production IoT devices in 60 days, covered in this article by Farbod Moghaddam, CTO & Co-founder, Sense Manufacturing Inc: tsdb.co/yaaa0rao

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Eric Vallieres
Eric Vallieres@EricVallieres84·
Most underrated shop tool
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Pablo A. Penietzsche
Pablo A. Penietzsche@PabloPeniche·
> Get’s in the car > “So how long have you been a Waymo?”
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daniel scott mitchell
daniel scott mitchell@danielmitchell·
dear friends making a pilgrimage to DC (for H&V, etc) over the next few days: our favorite lowkey dinner spot (<10 min from IAD) also happens to be one of the best restaurants in the DMV. lunch/dinner on me while you’re in town. DM me to coordinate.
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