Geospatial Makers Start Building!

Geospatial Makers Start Building!

Author: MapScaping February 12, 2026 Duration: 46:52
Geospatial Product Swiss Army Knife 1. The "Build It and They Won't Come" Trap We have all seen it: a talented geospatial professional spends months—perhaps years—perfecting a technically sophisticated web map or a niche data service, only to release it to a deafening silence. In our industry, the "build it and they will come" philosophy is a fast track to zero traction. Precision is the enemy of progress when it is applied to the wrong problem. Daniel and Stella Blake Kelly explored a remedy for this pattern. Stella—a New Zealand-born, Sydney-based strategist and founder of the consultancy Cartisan—didn’t start with a master plan. She "fell into" the industry after being inspired by a lecturer with bright blue hair and a passion for GIS that rivaled a Lego builder’s creativity. Today, she helps organizations move from "making things" to "building products that matter" using a framework she calls the Product Swiss Army Knife. -------------------------------------------------------------------------------- 2. The 7-Step Framework: More Than Just a Map Many geospatial experts suffer from a technology-first bias, prioritizing data accuracy over strategic utility. To counter this, Stella advocates for a disciplined, seven-tool toolkit designed to bridge the gap between GIS and Product Design: Vision: Establish a clear statement of what you are building and why it needs to exist. User Needs: Move beyond assumptions to identify real users and their specific friction points. Market & Context: Analyze the existing ecosystem (competitors, data, and workflows) to find your gap. Features: Ruthlessly prioritize "must-haves" to define a lean Minimum Viable Product (MVP). Prototypes & User Flows: Map out the user’s journey through the service before writing a line of code. Proof of Concept: Create a tangible, working version to prove the technical and market logic. Launch & Learn: Release early to gather real-world data and iterate based on evidence. This structure forces builders to treat the "spatial" element as a solution rather than the entire product. To illustrate User Needs (Tool #2), Stella suggests using formal User Stories to step out of the technical mindset: "As a solar panel marketer, I want to find potential customers with enough roof surface area so that I can reach out to them and provide an accurate quote." By grounding the project in a specific human problem, the developer stops building for themselves and starts building for the market. As Stella notes: "The thing about the product Swiss Army knife... is that it can be applied to almost any situation where there is an end consumer, where somebody is going to use the thing, the service that you make." -------------------------------------------------------------------------------- 3. The "200 Tools" Strategy: Programmatic Market Validation Daniel shared an unconventional approach to product discovery that serves as a masterclass in Market Context (Tool #3). Leveraging AI, he has built nearly 200 simple geospatial tools—such as a "Roof Area Calculator"—not as final products, but as a "sandbox" for discovery. This is Programmatic Market Validation. Instead of starting with a complex SaaS model, Daniel uses these micro-tools to find "winners" via organic search traffic. By observing where the internet already has unsolved spatial queries, he lets the market dictate which products deserve a full-scale build. In this new landscape, the barrier to entry has shifted: the competitive advantage is no longer "coding ability"—it is strategic experimentation. -------------------------------------------------------------------------------- 4. Not All Traffic is Equal: The High-Value Keyword Insight One of the most surprising takeaways from this experimentation is the direct link between specific geospatial problems and commercial value. A general GIS data tool might get thousands of views, but a "Roof Area Calculator" generates significantly higher programmati

The MapScaping Podcast delves into the intricate world where geography meets data. This isn't about static paper maps, but the dynamic, digital systems that help us understand our planet. Each conversation focuses on the practical and the visionary within GIS, geospatial technology, remote sensing, and earth observation. You'll hear directly from the cartographers, data scientists, software developers, and analysts who are building the tools and interpreting the information that defines modern digital geography. The discussions explore how satellite imagery is used, how location intelligence solves complex problems, and where the technology is headed next. For professionals, students, or anyone fascinated by how we chart and comprehend our world, this podcast offers a grounded look at a field that is constantly redrawing its own boundaries. Tune in to The MapScaping Podcast for insights that are as much about the people and ideas shaping this space as they are about the technology itself. It's a consistent source for those who think spatially, providing depth and context that goes beyond the software interface. Listen to find out how the hidden structures of geospatial data influence everything from urban planning and environmental conservation to business logistics and everyday apps.
Author: Language: English Episodes: 100

The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
Podcast Episodes
Using Lasers To Talk To Satellites [not-audio_url] [/not-audio_url]

Duration: 44:51
How do we get data from a satellite down to Earth? How do we task a satellite? Today the answer is likely to be via radios and a system of downlink sites or ground stations. As the satellites pass overhead or within “lin…
From Pixels to Patterns: AI in Spatial Analysis [not-audio_url] [/not-audio_url]

Duration: 1:05:50
There is a general understanding that it is becoming increasingly difficult to extract meaning from all the data we are collecting without using AI. But what is AI, and how did we end up in a situation where it is identi…
pygeoapi - A Python Geospatial Server [not-audio_url] [/not-audio_url]

Duration: 37:03
PYGEOAPI is a Python server implementation of the OGC API suite of standards ... which might be really useful if you are thinking about upgrading from the first-generation OGC standards to the second-generation OGC stand…
Big Data In The Browser [not-audio_url] [/not-audio_url]

Duration: 57:17
So why would anyone want to put alot of data into a browser? Well, for a lot of the same reasons that edge computing and distributed computing have become so popular. You get the data a lot closer to the user and you don…
Rasters In A Database? [not-audio_url] [/not-audio_url]

Duration: 34:21
Sounds like a great idea right? In this episode, Paul Ramsey explains why you shouldn't ... unless you want to ... and how you can ... if you have to. You can find Paul's blog here: http://blog.cleverelephant.ca/about So…
Spatial Knowledge Graphs [not-audio_url] [/not-audio_url]

Duration: 32:04
A knowledge graph is a network of relationships between real work entities and in this episode, you will learn how and why knowledge graphs might be a better choice than spatial joins! Further listening! The H3 Indexing…
ChatGPT and Large Language Models [not-audio_url] [/not-audio_url]

Duration: 50:13
I am sure you have heard of ChatGPT by now so the hope of this episode is to give you some more context about what is it built on and how it works. To do that I invited Daniel Whitneck back on the podcast You can connect…
Computer Vision and GeoAI [not-audio_url] [/not-audio_url]

Duration: 37:58
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images. You might think that this is exactly what we are doing in earth observat…
Designing for Location Privacy [not-audio_url] [/not-audio_url]

Duration: 42:18
Data is what data does - more about that later on ;) This episode focuses on designing for privacy, how do we create value from location data without sacrificing personal privacy? Well, you might start by adhering to the…
Hyperspectral vs Multispectral [not-audio_url] [/not-audio_url]

Duration: 38:46
When comparing multispectral and hyperspectral data it is not simply a case of “more data more better”! With hyperspectral you have “The curse of Dimensionality” but you also get more flexibility to pick exactly what ban…