June 15, 2006: 3-D Printing Open House; Houston, TX (Free!)

Event Details

June 15, 2006: 3-D Printing Open House; Houston, TX (Free!)

Time: June 15, 2016 from 5pm to 7pm
Location: 3D Manufacturing HQ
Street: 2100 Space Park Drive Ste 102
City/Town: Houston, TX 77058
Website or Map: https://re3d.org
Event Type: open house
Organized By: Re:3D
Latest Activity: Jun 3, 2016

Export to Outlook or iCal (.ics)

Event Description

Houston-based Re:3D is making 3-D printers that are big -- really big: their Gigabot printers (the largest has a build area of 269,040 cubic cm) aren't meant for desktop hobbyists, but they're priced low enough to be reasonable wishlist items for schools or makerspaces. They're also based on open standards, and open source (see last year's Kickstarter project). I got a chance to see one of them on the floor of OSCON (still with plastic wrap on the panels, because it was actually a customer machine making a show-floor pit stop before delivery), and was impressed with the fridge-sized cabinet. One cool design constraint that Founder and Chief Creative Officer Katy Jeremko told me about: despite appearances, it's sized to fit through standard household doorframes.  


If you're in range of Houston on Wednesday, June 15th, you're invited to the company's 3-D printing open house: come check out all kinds of printed projects (though you can expect an emphasis on the company's own products). They promise snacks, too. 

(Image (c) 2015 Lenore Edman, used under Creative Commons Attribution License 2.0.)

Comment Wall

Comment

RSVP for June 15, 2006: 3-D Printing Open House; Houston, TX (Free!) to add comments!

Join Codetown

Attending (1)

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

QCon London 2026: Behind Booking.com's AI Evolution: The Unpolished Story

Jabez Eliezer Manuel, Senior Principal Engineer at Booking.com, presented “Behind Booking.com's AI Evolution: The Unpolished Story” at QCon London 2026. Manuel discussed how Booking.com has evolved over the past 20 years and the challenges they faced on their journey to incorporate AI.

By Michael Redlich

Google Open-Sources the Common Expression Language for Python

Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, safety, and portability.

By Sergio De Simone

QCon London 2026: How To Run on Three Clouds at Once, and When Not To

Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes operators, cross-cloud DNS tricks, and distributed databases, and what happened when they tried to sell them in America. Spoiler: US customers wanted East/West failover, not triple-active multi-cloud.

By Steef-Jan Wiggers

QCon London 2026: The Hidden Power of Boring Problems

At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and frameworks or to invest in deeper, foundational problems that may appear less exciting but deliver long-term value.

By Daniel Dominguez

DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace.

By Leela Kumili

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service