---
title: 'Hurricane vs. Tiny Houses'
source: 'https://youtube.com/watch?v=-2HSFJOzQQ8'
video_id: '-2HSFJOzQQ8'
date: 2026-07-24
duration_sec: 1324
channel: 'Practical Engineering'
---

# Hurricane vs. Tiny Houses

> Source: [Hurricane vs. Tiny Houses](https://youtube.com/watch?v=-2HSFJOzQQ8)

## Summary

This video explores the devastating impact of hurricane storm surge on coastal buildings, using data from Hurricane Ian and a large-scale wave lab experiment to compare the performance of elevated vs. ground-level structures. It highlights the tradeoff between building higher for safety and the associated costs, showing that even a small increase in elevation can make a dramatic difference in survival.

### Key Points

- **Hurricane Ian's Destruction** [00:00] — In September 2022, Hurricane Ian caused catastrophic damage, especially from storm surge, which obliterated buildings and swept them off foundations.
- **FEMA Data on Elevated Structures** [00:58] — FEMA analyzed over a thousand flood claims after Ian and found that elevated structures had insurance claims averaging one-third the cost of non-elevated buildings.
- **Challenges of Elevation** [03:10] — Elevating buildings adds significant upfront cost, and higher elevation reduces affordability. Balancing safety with economic viability is a key challenge for engineers and policymakers.
- **Wave Lab Experiment** [05:54] — At Oregon State's O.H. Hinsdale Wave Research Lab, engineers built two one-third scale model houses at different elevations to simulate storm surge and wave action.
- **Model Design and Scaling** [08:05] — The models are identical except for elevation (one foot higher for the green house, equivalent to 3 feet in real life). Dynamic similarity ensures results translate to full scale.
- **First Damage and Progressive Failure** [14:42] — The lower house suffered wall collapse under wave impact, but surprisingly, after initial damage, the structure stabilized and the upper floor remained intact for a while.
- **Collapse of Lower House** [17:12] — Eventually, the lower house collapsed completely, while the slightly elevated house showed almost no damage, demonstrating the critical importance of elevation.
- **Broader Flood Management Insights** [19:02] — Avoiding building in floodplains is ideal, but where development exists, small elevation increases can drastically reduce damage. Engineering must balance multiple tradeoffs.

### Conclusion

The experiment clearly shows that even a modest increase in elevation can mean the difference between total destruction and near-complete survival during a hurricane. Data from such tests help refine building codes and floodplain regulations, ultimately saving lives and property.

## Transcript

By the end of this video, one of&nbsp; these buildings will be knocked&nbsp;&nbsp; because there’s a lot we still don’t understand&nbsp; about hurricanes and their effects on buildings.
In September 2022, Hurricane Ian tore&nbsp; across the Caribbean and southeastern U.S.,&nbsp;&nbsp; Carolinas. It was one of the strongest&nbsp; and deadliest storms in modern history.&nbsp;&nbsp;
We often think of hurricanes in terms of wind&nbsp; and rain. But in coastal areas, it’s the surge&nbsp;&nbsp; of seawater driven inland by the storm that causes&nbsp; the most catastrophic damage. Homes and buildings&nbsp;&nbsp;
didn’t just get wet. Many were obliterated,&nbsp; swept from their foundations entirely. But unlike many storms of the past, Ian came&nbsp; with data, and lots of it. Today’s tools for&nbsp;&nbsp; collecting and analyzing information mean that&nbsp; even tragic disasters can lead to really important&nbsp;&nbsp;
insights into how we can build safer and smarter&nbsp; in the future. After Hurricane Ian, FEMA analyzed&nbsp;&nbsp; more than a thousand flood claims, and what they&nbsp; found about building performance was remarkable. To dig deeper, I’m here at O.H. Hinsdale&nbsp; Wave Research Labratory at Oregon State&nbsp;&nbsp;
University. A team of engineers is running&nbsp; a one-of-a-kind experiment to simulate storm&nbsp;&nbsp; surge and study how buildings actually respond.&nbsp; They invited me here to see it firsthand and&nbsp;&nbsp; share what they're learning with you. I’m&nbsp; Grady, and this is Practical Engineering.
Everyone knows hurricanes are destructive,&nbsp; but storm surge often gets underestimated,&nbsp;&nbsp; not just by the public, but policymakers and&nbsp;planners too. We see footage of roofs ripped&nbsp; off and trees snapping like twigs. But just a few&nbsp;&nbsp;
feet of storm surge can cause even greater&nbsp; damage. And waves amplify the destruction. If you’ve spent time in coastal areas, you’ve&nbsp; probably seen homes raised on stilts. Since&nbsp;&nbsp; the early 2000s, this has become one&nbsp; of the most common construction types&nbsp;&nbsp;
in flood-prone coastal zones. The concept is&nbsp; straightforward: move the living space above&nbsp;&nbsp; the reach of storm surge. If a hurricane&nbsp; hits, the lower area used for parking,&nbsp;&nbsp; storage, or access might flood, but the&nbsp; critical parts of the building stay dry.&nbsp;&nbsp;
All the devastating power of the waves flows&nbsp; through and around the stilts instead of slamming&nbsp;&nbsp; into walls and destroying the structure. It&nbsp; turns out this idea is remarkably effective. After Hurricane Ian, FEMA found that flood&nbsp; insurance claims for elevated structures in&nbsp;&nbsp;
Fort Myers averaged about one-third the cost&nbsp; of claims for non-elevated buildings. That’s&nbsp;&nbsp; a staggering difference in performance. But zoom&nbsp; in, and things get more complicated. On one hand,&nbsp;&nbsp;
this is pretty obvious stuff. You don’t need&nbsp; a massive wave laboratory to figure out that&nbsp;&nbsp; elevated structures survive storm surge much&nbsp; better than buildings at grade. But if you look&nbsp;&nbsp; at footage from Hurricane Ian, it paints a more&nbsp; nuanced picture, because some elevated buildings&nbsp;&nbsp;
didn’t fare well at all. They weren’t all high&nbsp; enough to avoid the surge. And that gets to one of&nbsp;&nbsp; the most difficult questions in the entire field&nbsp; of hurricane engineering: Needless to say, it is expensive to lose your&nbsp; home in a storm. The conundrum is that it’s also&nbsp;&nbsp;
expensive to build your home in such a way&nbsp; that it can withstand one. If it were easy,&nbsp;&nbsp; every building in Fort Myers would be a&nbsp; hundred feet above sea level. But the reality&nbsp;&nbsp; is that elevating a structure adds significant&nbsp; upfront cost, and the higher you go, the higher&nbsp;&nbsp;
that expense climbs. It’s not just a cost for&nbsp; homeowners but also something that’s passed down&nbsp;&nbsp; to renters. Shifting the actual housing upwards&nbsp; shifts the affordability of housing downward for&nbsp;&nbsp;
everyone. And because major hurricanes are&nbsp; relatively rare events, the return on that&nbsp;&nbsp; investment comes with a lot of uncertainty, with&nbsp; benefits that are invisible most of the time. That’s one of the biggest challenges for&nbsp; engineers and officials. In theory, you can&nbsp;&nbsp;
design a structure that withstands anything. But&nbsp; in practice, no one’s building hurricane bunkers&nbsp;&nbsp; as homes. Codes and policies have to balance&nbsp; safety with economic viability and long-term&nbsp;&nbsp;
risks with the upfront cost of resilience. Local&nbsp; governments want robust, resilient development,&nbsp;&nbsp; but they also need development to happen in the&nbsp; first place. Overly strict codes can scare off&nbsp;&nbsp;
builders or price out developers. And while the&nbsp; National Flood Insurance Program might prefer&nbsp;&nbsp; fewer claims, stricter floodplain regulations also&nbsp; come with tradeoffs: reduced property tax revenue,&nbsp;&nbsp;
limited housing supply, and the burden&nbsp; of compliance placed on individuals. but when you multiply them out along developed&nbsp; coastlines, the implications of each extra foot&nbsp;&nbsp;
of elevation are monumental. So what you&nbsp; end up with is a delicate balancing act,&nbsp;&nbsp; shaped by competing priorities, enormous&nbsp; uncertainty, and billions of dollars on the line.&nbsp;&nbsp; Changing building codes or policies requires&nbsp; buy-in from a broad array of stakeholders,&nbsp;&nbsp;
But there’s one more thing that makes this&nbsp; even more complicated. Of course, “stuff&nbsp;&nbsp; getting wet” is a problem with storm surge, but&nbsp; it’s more than just typical flood damage you’re&nbsp;&nbsp;
dealing with when it comes to hurricanes. In a&nbsp; sense, the surge is a rise in sea level itself,&nbsp;&nbsp; and once your home is essentially IN the ocean,&nbsp; that brings wave action into play. Forces&nbsp;&nbsp;
intensify. Structural systems are tested in ways&nbsp; that ordinary flood damage doesn’t account for. You can see why this idea of elevating structures&nbsp; is one of those engineering concepts that seems&nbsp;&nbsp;
obvious on the surface, but gets way more&nbsp; complicated when you start looking into&nbsp;&nbsp; the details. And that’s why we’re here. Computer&nbsp; models are limited in their capabilities. And you&nbsp;&nbsp; can’t just call up an actual hurricane to knock&nbsp; over a test structure (and even if you could,&nbsp;&nbsp;
it would probably violate the ethics rules).&nbsp; So we go to the next best thing: the wave lab. The OH Hinsdale Wave Research Laboratory is one&nbsp; of the largest facilities of its kind in the&nbsp;&nbsp;
world. Since the 1970s, this lab has supported&nbsp; cutting-edge research into coastal engineering&nbsp;&nbsp; challenges like sediment movement, tsunami&nbsp; behavior, and wave-structure interactions.&nbsp;&nbsp;
It actually has two major test beds. This&nbsp; is the Large Wave Flume. It’s used for all&nbsp;&nbsp; kinds of hydraulic experiments related to waves,&nbsp; coastal structures, and erosion. It’s basically&nbsp;&nbsp; a super-sized version of the flume I use in&nbsp; a lot of my garage demos. It can do a lot,&nbsp;&nbsp;
but it has a limitation in that it’s inherently&nbsp; two-dimensional. Flow can really only move in the&nbsp;&nbsp; direction of the flume. That’s why the lab&nbsp; also has this: the Directional Wave Basin.
Think of it as a wave pool turned up to eleven.&nbsp; This enormous tank uses dozens of piston-driven&nbsp;&nbsp; paddles, each with independent control, to&nbsp; generate complex, multi-directional waves.&nbsp;&nbsp;
You can create a single tsunami-like pulse or dial&nbsp; in irregular wave trains to match the chaotic sea&nbsp;&nbsp; states found in real hurricanes. This facility&nbsp; is utilized in large-scale research projects on&nbsp;&nbsp;
wave hydrodynamics, floating structures, and&nbsp; devices that harness wave energy to generate&nbsp;&nbsp; electricity. But, of course, it can also&nbsp; test coastal structures, like these houses.
Dr. Dan Cox is a Coastal Engineer and Civil&nbsp; Engineering Professor at Oregon State.&nbsp;&nbsp; He explained to me why they chose&nbsp; the basin for this experiment. “The nice thing about the basin is, you&nbsp; can look at kind of a full 3-D picture, rather&nbsp;&nbsp;
than just a slice. And I think for this set of&nbsp; tests, we really wanted to do an entire house, not&nbsp;&nbsp; just a wall, you know, a bit of the foundation.&nbsp; And that’s why we chose the basin for this one.”
The research team has spent months building&nbsp; two incredibly detailed model homes,&nbsp;&nbsp; each one a near-perfect one-third scale replica of&nbsp; a real coastal house. Each foot is equivalent to&nbsp;&nbsp;
three feet in real life. And the only difference&nbsp; (besides color) between them is elevation. The&nbsp;&nbsp; green model is a foot or 30 centimeters higher&nbsp; up than the orange one. That corresponds to 3&nbsp;&nbsp;
feet in the real world or roughly one meter. In&nbsp; every other way, both structures are identical.&nbsp;&nbsp; They’ve got interior walls, windows, framing&nbsp; details, everything. At this scale, that means I’m&nbsp;&nbsp; about the size of an 18-foot-tall civil engineer…&nbsp; which is actually something I’ve had dreams about.
One-third scale is still just a model.&nbsp; But this is not a toy experiment. The&nbsp;&nbsp; researchers have carefully accounted&nbsp; for all the physics involved. The wave&nbsp;periods and velocities have been adjusted&nbsp; to simulate full-scale conditions, and the&nbsp;&nbsp;
structures have reduced stiffness to reflect&nbsp; the relative rigidity of real-world buildings.&nbsp;&nbsp; It’s all about maintaining dynamic similarity,&nbsp; a fancy term for making sure the test results&nbsp;&nbsp;
actually mean something when translated back&nbsp; to full size. And that’s a tough thing to do: “On the structure side, it’s a lot more difficult&nbsp; to scale the structural behavior. So, for example,&nbsp;&nbsp;
when we’re doing computer simulations, the&nbsp; simulations are primarily at scale - trying to&nbsp;&nbsp; get that difference in shaking. The forces can&nbsp; generally be scaled up as well, so we kind of&nbsp;&nbsp; know what the forces are. But I think the mode of&nbsp; failure - like how this structure failed - I’m not&nbsp;&nbsp;
sure so much as like a quantitative scaling. It’s&nbsp; a little bit more like qualitatively, this is what&nbsp;&nbsp; we would expect to happen under these conditions.” small and build gradually, both in height and&nbsp; frequency, simulating the approach of a storm.&nbsp;&nbsp;
The goal is to observe how both buildings&nbsp; respond as conditions get worse and worse.&nbsp; It’s mesmerizing to watch: the wave generators&nbsp; churn, sending pulse after pulse across the basin.&nbsp;&nbsp;
Within seconds, the models are surrounded&nbsp; by rolling water, with each wave slapping&nbsp;&nbsp; against walls, flowing around supports, and&nbsp; rebounding off the basin walls and shoreline.&nbsp; Even now, researchers at the lab are measuring the&nbsp; behavior of the structures.
you’ll notice targets for highly specialized&nbsp; cameras and lidar to carefully monitor the&nbsp;&nbsp; behavior of each structure. Sensors&nbsp; placed throughout the experiment are&nbsp;&nbsp; recording everything—wave height, velocity,&nbsp; pressure on the structure, accelerations,&nbsp;&nbsp;
and even internal motion. The goal is to build a&nbsp; detailed, physics-based understanding of how each&nbsp;&nbsp; building absorbs and transfers energy from the&nbsp;storm surge. For one, this expensive and elaborate test is just&nbsp; two buildings. And there are a lot more types of&nbsp;&nbsp;
houses in the world than that. So this data can&nbsp; be used to calibrate and validate computer models,&nbsp;&nbsp; making it easier for engineers to get&nbsp; reliable answers to questions without&nbsp;&nbsp; having to build scale buildings and put&nbsp; them through huge model tests like this.
And some of those questions are big&nbsp; ones. When you’re looking at options&nbsp;&nbsp; for large-scale flood infrastructure, a&nbsp; major part of the process is estimating&nbsp;&nbsp; the differences in damage and loss&nbsp; of life between alternatives. Again,&nbsp;&nbsp;
we can’t build infrastructure, call down&nbsp; a hurricane, and test it out in real life,&nbsp;&nbsp; then revise accordingly. Even engineers shouldn’t&nbsp; have THAT kind of power. So we have to be able to&nbsp;&nbsp; make predictions about how any proposal will work&nbsp; out. It’s educated guessing, essentially. But the&nbsp;&nbsp;
better we understand the connections between&nbsp; all the variables (wave height, surge level,&nbsp;&nbsp; building elevation, movement, and damage),&nbsp; the more educated those guesses become. “I would say the physical model&nbsp; is closer to the real world.
It's the best, in a numerical simulation, it's kind of the best we think&nbsp;we can do. always looks really cool. But there’s really&nbsp; - you have to verify it. You really have to&nbsp;&nbsp;
show that it’s correct, not just looks cool.&nbsp; And I think when we get to the laboratory,&nbsp;&nbsp; like we’re seeing during this test, like&nbsp; okay, it’s not as simple as we think.&nbsp;&nbsp; So there’s a lot more complexity, I&nbsp; think, inherent in a physical model.”
That’s why even though these tests seem&nbsp; pretty straightforward at first, they can&nbsp;&nbsp; have a profound impact on how we allocate public&nbsp; funds, regulate floodplains, and ultimately,&nbsp;&nbsp; keep people safe. You probably wouldn’t buy&nbsp; a car without giving it a test drive first;&nbsp;&nbsp;
it’s too big a financial decision to take a&nbsp; risk. Imagine changing the building code or&nbsp;&nbsp; floodplain regulations without good data to back&nbsp; it up. We necessarily make high-stakes decisions&nbsp;&nbsp;
about how to manage flooding in the face of&nbsp; equally enormous uncertainties. So, you can&nbsp;&nbsp; see why information like this would give more&nbsp; confidence to engineers and regulators to write&nbsp;&nbsp; building codes and improve floodplain regulations,&nbsp; knowing those decisions are grounded in truth.
But it’s not just about the data. You might have&nbsp; noticed that these houses aren’t just bare minimum&nbsp;&nbsp; structures. The team has added details like&nbsp; roofing, window frames, and colorful paint jobs&nbsp;&nbsp; to make them look like real buildings, even though&nbsp; they don’t really affect the final results. That’s&nbsp;&nbsp;
because this test is also a communication&nbsp; tool. Most people aren’t going to read the&nbsp;&nbsp; academic papers that get published as a result&nbsp; of this study, but this footage tells a story.
You don’t need data to understand which of&nbsp; these two structures you’d want to live in&nbsp;&nbsp; when a hurricane comes. And the more&nbsp; people who take storm surge seriously,&nbsp;&nbsp; the better the outcomes we can&nbsp; expect when a big storm arrives.
Each set of waves is programmed into the&nbsp; machine to simulate the variability of a storm,&nbsp;&nbsp; with the upper limit of wave&nbsp; amplitude increasing from one&nbsp;&nbsp; set to the next. After four sets of&nbsp; waves (delivered in about an hour),&nbsp;&nbsp;
they raise the level in the basin using this&nbsp; massive bathtub faucet and repeat the process.&nbsp;&nbsp; It was actually pretty surprising how well&nbsp; both models were holding up for a while there. It’s hard to communicate in a video&nbsp; just how awe-inspiring it is when&nbsp;&nbsp;
the directional wave basin starts&nbsp; really churning. And eventually,&nbsp;&nbsp; a particularly violent wave comes crashing into&nbsp; the lower house, and we see our first damage.&nbsp;&nbsp;
You can see the wall underneath the window give&nbsp; way, and now waves start penetrating into the&nbsp;&nbsp; interior of the structure. In a real house,&nbsp; this would already be catastrophic damage. But of course, they don’t stop at the first&nbsp; sign of damage, and the team keeps hammering&nbsp;&nbsp;
the models with more intense waves. Over the&nbsp; course of the experiment, the sea conditions&nbsp;&nbsp; just keep getting worse and worse, and&nbsp; the damage to the orange house does too.&nbsp;&nbsp; More and more of the first story of&nbsp; the lower house is swept away.
Waves&nbsp;&nbsp;flow through the structure and knock out&nbsp; portions of the wall on the beach side,&nbsp;&nbsp; and everybody in the room fills with&nbsp; eager anticipation of a total failure. And then, something I didn’t quite expect&nbsp; happened. The model seemed to almost stabilize.&nbsp;&nbsp;
The walls of the front and back of the structure&nbsp; were so totally obliterated that the first floor&nbsp;&nbsp; almost began to act like another level of stilts!&nbsp; Despite the first floor being utterly wrecked,&nbsp;&nbsp; the second story remained more or less fine for&nbsp; quite a while, even as the waves got stronger.
Dan told us about a test at half this&nbsp; scale (one sixth of real life scale)&nbsp;&nbsp; that had shown similar progressive damage,&nbsp; but that led to collapse much earlier on: “In the previous study, we started to see&nbsp; the deterioration and then very quickly,&nbsp;&nbsp;
well we'll see that again at&nbsp; larger scale, but we didn't.” That’s one of the cool things about moving up&nbsp; in scale and realism: you learn things that&nbsp;&nbsp; aren’t always expected. If we had cameras&nbsp; on every structure during Hurricane Ian,&nbsp;&nbsp;
we likely would have seen similar results -&nbsp; damages from storms rarely follow a linear,&nbsp;&nbsp; progressive trend. It comes in fits and&nbsp; starts. For a while, it seemed like it&nbsp;&nbsp; might be the end of the experiment, since the&nbsp; stronger waves weren’t causing more damage.
“…It was a tough problem, and I thought I&nbsp; knew the answer, and it turns out I didn’t.&nbsp;&nbsp; Little bit tough to swallow, but it also kind of&nbsp; highlights to me, like, okay this is a challenge.&nbsp;&nbsp; This is a hard problem. So for me, you know,&nbsp; I’m trying to put a positive spin on it, but&nbsp;&nbsp;
I feel like that’s a success right there. To say&nbsp; hey, this is more complicated than we thought.” Of course, everyone watching (including me)&nbsp; and those participating in the experiment&nbsp;&nbsp; were hoping for that final blow that would&nbsp; knock the whole thing over so they could get&nbsp;&nbsp;
the full range of data needed from safe&nbsp; to damaged to destroyed. And eventually, the moment came.
The waves finally&nbsp; won, and the lower house collapsed. "Holy moly!"
What’s probably more interesting&nbsp; than that is the condition of the&nbsp;&nbsp; other house. Take a look at that. Almost no&nbsp; damage whatsoever. This building sat in the&nbsp;&nbsp; exact same conditions as the other house&nbsp; and took almost no damage. And in a way,&nbsp;&nbsp;
that’s kind of remarkable. Because there really&nbsp; wasn’t that big of a difference between the&nbsp;&nbsp; two. I said it’s expensive to elevate a&nbsp; structure, but the marginal cost between&nbsp;&nbsp; the green and orange models is almost negligible&nbsp; compared to the overall value of the structures.
“In talking to people about flood risk,&nbsp; you know, we talk about the 100-year,&nbsp;&nbsp; 500-year. And I think there’s a misperception&nbsp; that the 500-year is like 5 times bigger,&nbsp;&nbsp;
5 times worse, I have to elevate 5 times&nbsp; greater. And I think just trying to show&nbsp;&nbsp; people it doesn’t take much. Like, there was not&nbsp; much of a difference in elevation between those&nbsp;&nbsp; two buildings. The one on the right is toast.&nbsp; The one on the left had a little bit of damage,&nbsp;&nbsp;
but hardly any, and that was only after we&nbsp; really tried to... The researchers will be studying the data from&nbsp; this experiment for years to come. But the&nbsp;&nbsp; story's pretty clear. Same surge, same&nbsp; waves. A little difference in elevation&nbsp;&nbsp;
can make a huge difference to a structure&nbsp; when it comes to surviving a hurricane. You might be watching these buildings get knocked&nbsp; about and thinking: “We don’t need more resilient&nbsp;&nbsp; structures in the floodplain; we just need&nbsp; them to not be there in the first place.”&nbsp;&nbsp;
And in many ways, you’d be totally right.&nbsp; Often, the most economical way to reduce&nbsp;&nbsp; flood damage is to avoid building in flood prone&nbsp; areas, or if development has already happened,&nbsp;&nbsp;
simply to buy out property, tear it down, and&nbsp; leave the land empty as a buffer. But where’s the&nbsp;&nbsp; line between flood-prone and not, especially when&nbsp; it comes to rare events like hurricanes, where the&nbsp;&nbsp; probabilities of occurring in a year are in the&nbsp; range of 1-in-100 or 1-in-500? And if there’s&nbsp;&nbsp;
not a bright line between at-risk of flooding&nbsp; and not, what’s appropriate for the fringe? The truth is that there is no catch-all solution&nbsp; to flooding. We need options to accommodate the&nbsp;&nbsp;
vast array of situations where development&nbsp; occurs, whether those areas are flood-prone,&nbsp;&nbsp; flood-free, or, most importantly, somewhere&nbsp; in the middle. And not just options, but also&nbsp;&nbsp; the data to determine which of them is truly the&nbsp; best path forward. Engineering is a balancing act;&nbsp;&nbsp;
we need structures that are both strong and&nbsp; safe, but also affordable, easy to occupy,&nbsp;&nbsp; and maybe even architecturally pleasing.&nbsp; Using knowledge gained from tests like&nbsp;&nbsp; this helps us get a clearer definition of&nbsp; the edges of the problem we’re solving.
Huge thanks to Dr. Dan Cox and his team of&nbsp; researchers for inviting us to see this happen.&nbsp;&nbsp; I love talking about the engineering of the built&nbsp; world that often goes unseen like this test. I&nbsp;&nbsp;
can’t always travel to university labs, so a lot&nbsp; of my videos feature homebuilt demonstrations&nbsp;&nbsp; I build in my garage. And a lot of those models&nbsp; feature parts from today’s sponsor, Send-Cut-Send.
Look at this list of materials they can cut for&nbsp; you. And this is so easy: design your part in your&nbsp;&nbsp; favorite CAD software or even Adobe Illustrator.&nbsp; Upload it to the platform. Choose any additional&nbsp;&nbsp; services like bending, countersinking, tapping, or&nbsp; even hardware insertion, and get an instant quote.&nbsp;&nbsp;
I love the price transparency, and I even go back&nbsp; to the drawing board sometimes to make revisions.&nbsp;&nbsp; Parts are made in the USA, they’re out the door&nbsp; in a day or two, and there’s no minimum quantity,&nbsp;&nbsp; so the value proposition is hard to beat here: I&nbsp; could spend half a day in the shop making a part,&nbsp;&nbsp;
or I could have Send-Cut-Send do it&nbsp; for me for a very reasonable price,&nbsp;&nbsp; freeing up my time for other stuff. I tried this&nbsp; once, and since then, it’s just unlocked this&nbsp;&nbsp; whole new world of possibilities for the stuff I&nbsp; build. If you’re in the US or Canada and want to&nbsp;&nbsp;
give it a try click that link below. Thank you&nbsp; for watching, and let me know what you think!
