Episode 49

LoRaWAN In Space - Jon Pearce & Lacuna Space

The episode explores how Lacuna Space uses LoRaWAN over low‑Earth‑orbit satellites to solve the traditional coverage limitations of terrestrial LoRaWAN networks. Jon Pearce explains that Lacuna targets low-power, low-bandwidth IoT use cases where devices send small, infrequent data packets directly from sensor to satellite, trading bandwidth for battery life and global reach.

Jon describes the company’s developer kit and antenna approach, along with typical data profiles such as water metering and environmental monitoring that can tolerate a few uplinks per day.

Pearce also outlines how Lacuna scales its constellation based on capacity and specific customer requirements, including sovereign or national deployments, and how it partners with other satellite operators to embed Lacuna technology on their spacecraft.

Throughout, he contrasts Lacuna’s model with legacy high-bandwidth satellite services and emphasizes the economics of expanding constellations for large, well-defined IoT rollouts like nationwide smart metering.

Jon Pearce on LinkedIn

Lacuna Space

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Transcript
Speaker:

Today's guest

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on MeteoScientific's

The Business of LoRaWAN is Jon Pearce,

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:

chief commercial officer at Lacuna Space

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and one of the early figures

in the LoRaWAN ecosystem.

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Jon has been in LoRaWAN

since before the LoRa Alliance was formed,

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working at Microchip in the early module

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days, then helping scale real world

networks at every net.

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In this conversation,

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we talk about what it actually takes to

scale LoRaWAN, especially around coverage

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and why satellite connectivity changes

that equation.

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We dig into what makes a good satellite

LoRaWAN use case, the trade offs

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between bandwidth and low power.

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How Lacuna onboard developers

with its sensor to satellite kits,

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and what constellation scaling

really looks like behind the scenes.

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We also explore edge

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AI from compressing wildlife camera data

into a single whisper of information

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to other AI agents, could one day

become direct customers of connectivity.

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This episode is sponsored

by the Helium Foundation

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and is dedicated

to spreading knowledge about LoRaWAN.

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If you'd like to try Helium’s

publicly available global LoRaWAN for free

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and support

the show, sign up at metsci.show/console.

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Now let's dig into the

conversation with Jon Pearce.

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Jon, thanks

so much for coming on the show.

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I'm super excited to have you here.

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Thanks. Pleasure to be here.

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Yeah.

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You've tackled this

how to scale LoRaWAN thing

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before a couple times

from microchip to Evernet.

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What do you think you'll be able to reuse

from previous experiences?

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And what do you think is going to be new

about scaling LoRaWAN with Lacuna?

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Well, of course,

the experience teaches you a lot.

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I've been around the loop a few times

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from the early days with microchip,

when it was all, you know, green shoots.

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You know,

we were working out how to do this

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and that was really doing it.

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My my move to Lacuna was about scale

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and scale,

particularly in terms of coverage.

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But one of the pain points of LoRaWAN

is how much coverage is out there.

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And it's growing. Yeah. It's impressive.

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We're all happy with the progress

LoRa once made,

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but there's never enough coverage, right?

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There's always the edge of a network

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where you you run out of steam or run

out of economics to build a network.

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That's just generally the case.

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I think, with every every deployment

you see around the world.

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And what I thought of and Lacuna, which is

just amazing, is just global coverage.

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You know, these satellites

are really covering the entire planet.

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Pole to pole, everything in between.

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So that coverage question has gone away

is that

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maybe we jump directly into that.

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If someone is considering

using satellite LoRaWAN,

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what's a good checklist for what

would make them a good customer for you?

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And what is something that they might have

an expectation?

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We're like, no, no, that's

that's not going to happen.

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You're not going to get you're not going

to get high def, real time

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streaming.

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Number one in our in our customer

engagement questions is sure.

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How are you going to put through this.

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Because we do get people say,

well yeah, I've got a gigabyte

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a day or video

streaming from CCTV cameras.

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We said, no, that's not us.

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So it's a low power system, right?

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So it's targeting

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low power sensors that talk directly

from sensor to satellite actually.

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Of course, satellites

always existed. Well, not always.

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So you can go back several decades,

like the late 90s when iridium

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ability to market commercially available

satellite has been there.

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And people can use it

right to stream video.

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But the question is,

why would they come to us?

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You know, compared to those legacy

satellite companies?

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And it is the low power

analogies of low power.

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It's low cost.

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We are targeting the IoT market as well.

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But you have to give something up, you

know, to achieve low power and low cost.

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And it's bandwidth 30.

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So so our device is really whisper

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we use that nine

whisper in our technology. So

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these devices are just quietly whispering

away in the field sending data out.

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And it's now just tweeting. Right.

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So it's limited size packets.

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And you just send a few a day

and you go to sleep in between.

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And you can live in the field for,

for years on end on a single battery life.

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So the classic use case would be water

metering,

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you know, which makes a measurement

maybe once every hour

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fills out a profile during the day,

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and then it syncs it up to the cloud

once a day.

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That would be a perfect

use case for satellites.

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Okay, so it's not even transmitting once

an hour.

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It's just saying, hey,

I'm going to collect all this data

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and then I'll blast it out once a day.

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Yeah.

I mean, we achieve better once a day.

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Something in a region of, you know,

full contacts a day, making more.

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It gets better

as you go towards the poles.

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The worst case is the equator.

Oh, really? Okay.

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But you know that four times a day

gives you some redundancy, right?

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So again, the water use case

or any kind of long time series data,

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think about environmental sensing of water

quality and rivers in this context.

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And you don't need to know. Yeah.

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To the millisecond to the minute.

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It's a kind of building up a big time

series dataset over a year.

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And you want regular stamps once a day,

that kind of thing.

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Okay.

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Well, maybe it will be instructive

then to think about this.

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I've been on this Peco balloon

or a while, since December of:

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where the idea is

you put up these really small balloons,

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you're not putting up NASA balloons

that have a payload of 8,000 pounds.

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These are like 20g,

maybe 30g, mostly under 20.

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So just a little PCB, some solar panels,

a bunch of sensors on it,

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and the balloons stay up

and these are like weather balloons.

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These are standard. Yeah.

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And so they're up between let's say

30 to 50,000ft in very general terms,

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collecting data

and then sending it back down.

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The original idea

I had was through LoRaWAN.

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Most of the pico balloons out

there are using some form of HF,

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and it's all a bunch of like ham

radio nerds.

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So they want to bounce their signals

halfway around the world,

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which is really cool,

but not what I'm looking to do.

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It sounds like the satellite stuff

would be really good for us

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as a potential new customer.

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Can you walk me through like

what is the onboarding process look like?

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What are the general costs?

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Like what

what what I kind of want to know before

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I came and talked to you about, hey,

I want to do this right by balloons.

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Well, before we get into that,

I mean, let me say before I joined Lacuna,

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so I was already in the lower one.

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Well, it's like 2014 or something, right?

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You've been you've been around the block

at least once. The beginning.

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Yes. Is before the lower line

started, right? Yes.

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I was there on day

one for lower lines when we formed it.

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But yeah, along this journey

I was a product manager.

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I was advertising your modules

and things and

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I was as guilty as anyone for climbing,

you know, 20 kilometer range.

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And maybe it's ten kilometers,

maybe it's five kilometers.

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But there was this crazy tech world

between Sigfox and LoRa.

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Where. Yeah, it's

LoRa at 15, Sigfox at 20.

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And then someone else

went back and said, 22.

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And yeah, it gets crazy. Sure.

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This kind of thing.

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Yeah, it's terrible.

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But along the way, I remember seeing posts

on social media, on LinkedIn and things

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like that of people climbing 100km, 200km,

even up to,

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I think 700km might be some number I saw.

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I remember it.

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So I'm thinking, well,

these are just crazy people. Yeah.

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And they were using WebGL

and that's what made me think of this.

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Little did

I know, those were the founders of Lacuna.

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I ended up working with

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proving the satellite technology

by using high altitude balloons

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before they could move to satellite, so

that was an important step in the journey.

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So I like I like the fact that you're

playing with high altitude balloons.

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But moving on to what you asked

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about how you get on board

it, it's a new technology Lacuna really

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was the first to come up with the idea of

can you stretch LoRaWAN all the way

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as far as satellites and all satellites,

by the way, between 5 and 600km altitude?

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Oh, watch,

because it's there at an angle years,

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1000km easily,

just not directly above you.

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And that's a new technology, right?

No one imagined that was possible.

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So Lacuna had to develop our own hardware,

our devices to make that work.

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So day one with any customers,

normally we say come buy a device.

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And this is I'm hoping that's a camera,

a generic multi-node as we call this.

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This is it's

got multitude of sensors on there.

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And it's a it's a sensor to satellites

develop developer kit.

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Essentially

it runs at Twitter and it's certified.

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So it could be used in small deployments.

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But the key point of this is

is the antenna,

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which is a little bit larger

than the typical monopole.

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So you'll see another one device. Yes.

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This is a circular polarized

upward pointing antenna.

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So it sits this this way around

pointing out.

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And I mean it's not unique to Lacuna

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I mean you could build your own antennas

and there's different styles of antennas,

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ceramic packages and so on.

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But this is our known good antenna.

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So whenever we get a new inquiry

they want as well

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get a known good device

before you try to build your own device.

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And then at least you can have a good

comparison on the table, a nice reference

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and that thing that you're holding up

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for, folks that are listening,

I don't know,

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I call that the size of two packs of cards

side by side.

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I call this a beer mat all day long.

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I keep telling

people it's the size of beer mats.

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They think beer mat? Yeah,

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as a beer

mat, the thickness of a fat man's dumb.

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Which I don't think

you can say that anymore, but there it is.

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So that's the first step. Is

I one of those. It's a kit.

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So it comes with everything you need.

What does it run?

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What's the cost on that?

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3993 99 pounds or dollars, I get told off

as I know we're all the same these days.

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Aren't €9 pounds dollars?

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Yeah. Okay,

so it says somewhere there isn't a 400.

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Whatever your unit,

this is three, nine, 9 pounds.

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Actually, it's what we sell it.

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And is that come with kind of coverage

for a year or is how does it work.

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Yeah.

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So it's not really the hardware cost

to us.

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The package cost because this is

the platform access connectivity for.

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Yeah, some support on boarding support.

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And of course the hardware is built in.

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So yeah, I don't want to

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I don't want people to think

that the hardware costs three, nine, nine.

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The hardware is a smaller portion

I guess you up and running.

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And I said it runs Arduino.

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It's easy to get inside,

you know, change behavior if you want to.

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I mean, it's that it runs out of the box

with just a few parameters

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you need to set up,

but you can't change the functionality.

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You can't even add sensors.

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We have expansion kits

where you can plug in Grove connectors or

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XP sensors and things like this.

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Okay, yeah, maybe we maybe we have to get

some for the met side project.

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Yeah, certainly

something that we're we're considering.

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Let's see. You had said you

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had thought about if a customer is coming

and saying, like, hey, you're

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probably gonna get about four general

uplinks per day is that that's right.

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Okay. Yep.

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So how do you scale that?

How do you get to a place where.

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And maybe this is an interoperability

question

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with other constellation operators.

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Like how does that work.

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Or if someone wants more

or other companies come to you and say,

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hey, we want to we see what you've done

in this space, we want to work with you.

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How does it work?

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First of all,

there's a kind of gate, right?

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So if someone says,

I need every ten minutes, we know it's

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probably not the technology for you today

as it stands today.

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And we are cherry picking those use cases

that sit within the profile.

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As I said, you

what metering asset tracking.

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But actually that doesn't discount

all the cases where if

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if we set, you know, measurements

every hour delivery day.

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But people said,

well I really need measurements

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every 30 minutes and delivered

every three hours or something.

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We can scale to constellation to do that.

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We just need the business

justification actually.

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So it's really important

that we talk to people

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and find out what the demands are,

what scale.

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And I see an interesting avenue

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within the space

sector is, is a kind of technology.

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It is naturally global.

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Of course, these new satellites

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go around the whole world,

but every nation wants its sovereign

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capability as well,

or has some preference to tap sovereignty.

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We all want to own our stuff,

I get it. Yeah, yeah.

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And actually this

this is a conversation that comes up a lot

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where we say, let's talk about the use

case, whatever it may be.

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Let's understand the parameters

and let's quote you for what it is

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to put you all to expand the constellation

to suit that use case.

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And actually, actually,

people are often quite surprised

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how economically

we can grow a constellation.

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It doesn't take a massive justification

to do it.

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You know,

the kind of the expansive use cases.

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If you think about nationwide automation,

for example, in the UK, 20

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million households, you probably

all of them will have a smart meter soon.

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Yeah, 20

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million units in a country

and a well understood use case.

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You scale that in other countries as well.

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All of a sudden you can see this

to some revenue flow here.

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And we could build out a larger

constellation to suit a use case.

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Sure. Easily.

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And you know,

surprisingly economically as well.

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So that's one of the things

we're offering right now as we look to

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build the core of constellation.

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We do operate our own satellites.

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We do provide a service, and we continue

to do that as the core of our business.

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We scale that on our own time,

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right as as we need to based on capacity

loading of the satellites.

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So the the driver is not so much

as you add more satellites, by the way.

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You reduce this latency

because you have more contacts per day.

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Okay. Right.

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So one of

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one of the dimensions is you might add

more satellites to get towards real time.

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But for us

actually it's more about capacity

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as our satellites are loaded

and consume all the capacity.

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That's

when we justify adding more satellites.

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So that will always continue,

will always be the core of the network.

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But we have got a few partners

that we've onboarded

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where we've put our technology

onto their satellites.

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One is only space in the US.

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They operate off a Meo satellite

and they use our technology that

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another one is RDS Telecom in Portugal.

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We have others

that are not necessarily announced,

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but these countries

might need to add a few satellites.

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You know, they might have the budget

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to to add a few satellites

to the constellation.

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A few satellites on their own

would just be, you know,

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another separate constellation

with limited number of contacts. And

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by working together, of course,

we can all contribute

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so that countries satellites,

when they're away

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from the country,

we can use the capacity and vice versa.

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When our satellites are over

that territory,

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we can add to that capacity

and do a a collaborative trade.

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And is it that easy

or are there hardware restrictions?

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We're like, oh, well,

you didn't put a gateway in this thing.

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So like obviously can't can't use it.

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I'm not going to say he's okay.

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Essentially it is us putting a gateway

on other people's satellites.

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Yeah, we call it in the space sector.

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You call it a payload.

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Okay. Box.

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In LoRaWAN terms, that would be

the gateway on the satellite.

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I'll try to get hip to the space

terminology,

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because it is interesting to me separately

and just for my own curiosity, like,

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how big are these things

that you're checking in a space,

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is this like, I can't imagine

it's the size of a refrigerator.

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Is it is like a toaster oven.

What are these things like?

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Like, I,

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I often travel with one in my backpack

to trade shows and things

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and actually say, this is a satellite.

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So, our past satellites have been shoebox

sized.

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So in satellites,

you have this concept of CubeSats

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and a cube ten by ten by ten centimeters.

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And are satellites are six you six cubes.

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Okay.

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That tells you it's 30cm

by 20cm by ten centimeters.

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That's the shoebox.

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Yeah.

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Size it happens to be not kind of a three

by two layer

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on newer satellites that

I've just been watching this last year

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are for use a little bit smaller,

and and a four by one configuration.

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So 40cm by ten by ten.

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It's just amazing how small these things.

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I always think of it as like,

oh, it's got to be some giant thing.

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Like, nope, it's

just a couple of Rubik's cubes up there.

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That's it.

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We've seen those vehicle busses

or chassis are part of it.

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The the LoRaWAN gateway

portion of it is about one to you.

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So it's one of those cubes

is the gateway okay.

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And then of course batteries and onboard

computers and gyro systems in the,

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in the rest of the chassis.

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Yeah. It's so rad.

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Now does it only work?

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I saw that on the website that was built

from the, from the beginning

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to be, to have interoperability

with TR with the things industries.

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Can I use it with any LoRaWAN?

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If I'm using helium, can I say, oh, I'm

just going to roam on your guys's network?

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Or is it?

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I'm assuming it's more difficult

than that.

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Actually, it was built to be generic

and interface to any of network servers.

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We happen to work very closely

with the things industries because

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we're friends with them.

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We like them.

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Yeah, because they're awesome

and they're everywhere.

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Yeah.

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In fact, one of our founders, Thomas,

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you know, did work with the things

industries in the US.

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And I worked closely

with things industries in the US.

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So there are default go to.

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Yeah, I think it's a great to work

with, easy to work with

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and with the things network.

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Remember

they've got the professional tier tier

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and then network which is the community

based one that's free access.

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Right.

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So in our default starter kit,

the default startup has been

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just routed to the things network,

where we just set up a free account

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for the user.

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Get the data through the packet broker.

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Let's get familiar with that.

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And they're not going away straight away.

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But that's

because they're just so easy to work with.

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But we sure we have integrations

with all the others activity that more

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up stack laureate.

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Yeah.

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So we could either make our system

look like a very, very large gateway

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globalized gateway.

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Just pump data in.

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That's the simple integration.

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But the full integration

is actually using LoRaWAN backend

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interfaces or roaming interfaces,

which are now standardized.

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:

Okay.

368

:

And then I guess the

369

:

obvious question that I missed

because I'm not a super hardcore

370

:

technologist is if I'm building

these water meters or sensors,

371

:

I'm going to need the antenna

that you had showed me before.

372

:

I can't just use a regular 915 kind

of straight monopole I have to use this

373

:

helical was a circularly

polarized is what you said.

374

:

Sorry. Also happens to be right

hand circular polarized.

375

:

So it's an RCT okay.

376

:

Now you don't have to

but it's advantageous.

377

:

So the reason for that is the orientation

between the device on the ground

378

:

and the satellite.

379

:

Yeah.

You don't know what relative orientation.

380

:

So in terrestrial systems

381

:

you always have vertical

horizontal polarization on these antennas.

382

:

We satellite circular makes sense.

383

:

So that's a kind of generic reason

for that.

384

:

And it gives you a certain amount of gain

385

:

in the budget

chirping correct polarization.

386

:

Or maybe I should better say

if you're incorrect, polarization

387

:

will still work, but you might drop,

I think, three DBS.

388

:

Okay, so you could use a standard

monopole linear polarization,

389

:

but you'd be disadvantaged

when I got three DBS to do it.

390

:

Got it.

And you said these things are or is it

391

:

50 or 60 came up or is it 500, 600?

392

:

Sorry. A 500 and 600km high. Okay.

393

:

So you're going to need every, every

little piece you can get to get out that.

394

:

Yeah. Yeah.

395

:

Actually I mentioned Omni space

with a Meo satellite.

396

:

Ameo satellite is a 10,000km.

397

:

You also got 10,000km

to that satellite as well.

398

:

But that's a huge satellite.

399

:

More like the size of a bus, okay.

400

:

With much larger antennas.

401

:

And then again, it's got bigger ears.

402

:

Yeah, yeah. Okay.

403

:

Super cool.

404

:

Well, in 2026, February of 2026,

when we're recording this,

405

:

I is pretty darn hot.

406

:

I should round this out

with two questions.

407

:

Are you guys using AI at all

at Lacuna Space?

408

:

Is that something

that you guys are integrating?

409

:

Or you're like,

I don't know about this thing.

410

:

Let's let's hold off on for a bit.

411

:

I mean, we use AI plenty

within the company for all sorts of tasks.

412

:

I would say relative to technology, AI at

the edge is very important.

413

:

So in these edge devices,

as I said, it's a whisper.

414

:

They only have a whisper or like a

tweet of data that you can get back.

415

:

It's it's limited in bandwidth

and it's plenty of use cases where

416

:

you want to get as much value from that,

as much information through there

417

:

as you can.

418

:

A great example, I'm going to say

something about camera based systems.

419

:

I started by saying

we can't stream video from CCTV,

420

:

but I do have customers

and young developments with camera

421

:

based sensors that might be trained

on monitoring wildlife, for example.

422

:

Yeah. Okay.

423

:

I saw an elephant

or there's two deer or whatever.

424

:

Yeah, yeah.

425

:

Or does insects, pests in a crop, things

like this.

426

:

Right.

427

:

So you can have the heavyweight

processing at the edge

428

:

doing all the number crunching. Yeah.

429

:

And then the answer might be the student.

430

:

Yeah. Is that the number two.

431

:

Right. Yeah.

432

:

In terms of compression

that's just phenomenal. That's amazing.

433

:

So you have to send streams of video.

434

:

You just send the answer.

435

:

And we got

we got loads of examples of that.

436

:

Whether it's audio listening to bird

calls, counting penguins.

437

:

Gotta keep an eye on those penguins,

wildfires or glacier movements,

438

:

those kind of things

that AI is a huge advantage on.

439

:

It's super cool.

440

:

I think the the penultimate question,

second to last, is

441

:

I've got this hypothesis

with AI coming on that

442

:

AI agents are going to be this totally

an entirely new market segment.

443

:

I think of it as like data

444

:

AI director AI, where these agents

are going to be interested in information.

445

:

Do you see a path where AI agents

446

:

become customers

of of connectivity directly?

447

:

So they're going to be auto provisioning

devices, buying capacity, managing fleets?

448

:

Or is that like, dude,

449

:

it's so far out, we're not going to bother

thinking about that yet.

450

:

That's a really interesting question.

451

:

I, I would hope it would move that way.

452

:

I would hope it does.

453

:

But I say that on the basis I

454

:

have this kind of

455

:

theory or, you know,

shower thoughts about IoT. Yep.

456

:

Yeah. IoT. We. Yeah. I've been in it.

457

:

Yeah.

458

:

Well, ten years in law,

I'm 20 before that as well.

459

:

Sure.

460

:

It was the big thing right

where it's all going

461

:

to make us all millionaires,

right? Overnight.

462

:

And it's proven to be quite slow to build.

463

:

Yeah.

464

:

And I've often thought about this, the

transformational nature of the internet.

465

:

I'm old enough to go back

pre-internet, right.

466

:

Yeah.

467

:

To the early days where you had

a shared phone in your house,

468

:

a lot of mobile phone.

469

:

You had correspondence, you know,

pen pals, you know, write letters to.

470

:

Yeah, it's kind of

471

:

and I think

about the amazing transformation

472

:

where everything is aggregated

onto the internet, you know, commerce

473

:

and communications and everything,

and how that might translate to IoT.

474

:

And I love the fact it I,

475

:

I mean, in my personal interest,

I like motorbikes, right?

476

:

A random guy in Japan

477

:

with a similar motorbike to mine

and strike up a conversation with him,

478

:

but he's speaking Japanese, I'm

speaking English and we get along fine.

479

:

And you just think about the discovery,

how we found each other,

480

:

and then we had the interoperability

to be able to talk to each other.

481

:

I think that's missing from IoT.

482

:

We don't really have the ability to find

a sensor on a glacier in Greenland, right?

483

:

Yeah. I just I don't know, quite the data.

484

:

We have to go and put a sensor

on glacier in Greenland.

485

:

So we don't have that broad

discoverability or sharing of data

486

:

or just discovery of interesting things

within IoT.

487

:

It's very vertically siloed right now.

488

:

And I think for it to really take off

and go exponential,

489

:

we need that kind of network effect.

490

:

Actually, there's a law for that. Isn't

that macro slow?

491

:

In fact, the value of network

is proportional to the number of devices

492

:

squared or something. Yeah. Yeah.

493

:

There's there's always some exponents

in there. Yep.

494

:

And the question is why

that hasn't kicked in an IoT.

495

:

And I think it's because

we keep everything in vertical silos.

496

:

My sensor totally by cloud. Yeah.

497

:

My application.

498

:

So what you say about these agents

AI agents

499

:

and their ability to find data sources.

500

:

It's bad.

501

:

I can believe it.

502

:

I think that

that would make a huge difference.

503

:

I think I would

then start to worry about validating

504

:

all the credibility of the data.

505

:

It's got to be authenticated somehow,

rather than just being random noise.

506

:

Yeah, but if we could get a

507

:

it would be amazing.

508

:

It is.

509

:

Well, I mean, I think that

as soon as I came on and became

510

:

a real thing that people understood,

that was outside of academia.

511

:

I think

512

:

one of the first reactions in the IoT

world was like, oh my God, this is IoT,

513

:

is the nervous system for AI.

514

:

Like, clearly we've got all these sensors

collecting all this data.

515

:

They're they're going to want this thing.

516

:

And I haven't seen it yet

where that's taken off,

517

:

although I am seeing it's

kind of blossoming and,

518

:

and blooming

in a bunch of different sectors

519

:

where everyone I talked

to says our we're using it.

520

:

And so I think we're maybe 1 or 2

steps away

521

:

from what you're talking about,

where you say like, hey, I,

522

:

I want to see what the conditions are

in Greenland.

523

:

Go find me anywhere on any network,

what those are, and they'll pay for that.

524

:

Yeah.

525

:

I mean, it's a real cost

to deploying hardware.

526

:

Yes. Right.

527

:

So deploy wants to make value from it

and so keeps it private.

528

:

Of course,

there's lots of open data initiatives.

529

:

I think as I said, I just

I hope that comes across thing.

530

:

That would be powerful.

531

:

I can't see how it won't be

the next Uber style thing

532

:

where instead of driving a car,

you go deploy sensors for AI.

533

:

That seems like that's that's

what's going to happen.

534

:

I would be remiss someone will ask me

about your your motorbike stuff.

535

:

What what are you into? Is this, like,

Iron Man stuff?

536

:

What if someone wanted

to send you a free motorbike?

537

:

What would they send you?

538

:

Yeah, please do send me.

539

:

You know spike. Well, I'm a bit of bias.

540

:

I've sapping building a bike, which is,

a kind of homage to an Isle of Man

541

:

TT racer.

542

:

Okay. The style is cool. Is Saxon.

543

:

Saxon triumph. Sickly.

544

:

And I knew the guy at Run

Saxon, Nigel Hill.

545

:

And he said he'd given up on building

chassis.

546

:

You know, there's no there's

no money in it. I'm never do it again.

547

:

And I persuaded him to build me

his last chassis before he retired.

548

:

But go say that started

when my daughter was born

549

:

and was just teaching my daughter

to drive now.

550

:

So that gives you

an indication of her age.

551

:

And that chassis still in my shed

could have built.

552

:

I think it would be my retirement project.

553

:

Maybe it's

nice to have a slow burn project.

554

:

And are you?

555

:

I'm assuming you're to put

some LoRaWAN devices on it somewhere,

556

:

just as like general to do, right?

557

:

Yeah, yeah.

558

:

Let's see if there's any fuel in

fuel tank.

559

:

Okay. Ripping. Well, Jon,

thanks for carving out time.

560

:

I know you guys are super busy at Lacuna

and ready to talk to you.

561

:

Learn a little bit about what you're doing. Thank you. Appreciate it. Thanks very.

562

:

That's it for

this episode of The Business of LoRaWAN.

563

:

If you want to go deeper

and actually deploy devices,

564

:

the MeteoScientific

Console is the fastest way to do that.

565

:

And honestly, it's

also the best way to support the show.

566

:

When you use the console, you're not just

listening, you're participating

567

:

in the same real world LoRaWAN work

we talk about here every week.

568

:

You can get started with the free trial

at Meteoscientific.com.

569

:

Huge thanks to the sponsor of this show,

the Helium Foundation,

570

:

for supporting open LoRaWAN

infrastructure worldwide.

571

:

Check them out at Helium.Foundation

and if the show has been useful.

572

:

A quick rating or review on Apple Podcasts

or wherever you listen.

573

:

This really helps

574

:

people find it and helps the show grow

so we can help more people.

575

:

I'm Nik Hawks with MeteoScientific.

576

:

I'll catch you on the next episode.

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Nik Hawks

Incurably curious, to stormy nights and the wine-dark sea!