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Luke Metcalfe
Luke Metcalfe
Founder and Chief Data Scientist, Microburbs

Podcast Appearances

8 hours and 48 minutes of property data conversations. Every chapter timestamped and searchable by topic.

9
Podcast episodes with chapters
7+
Hours of property data content
200+
Timestamped chapters
12
Topics covered

Filter by Investor Question

Find the exact moment Luke answers your question across 9 podcast episodes.

All Episodes (9)

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Additional Appearances

Episodes without full chapter breakdowns. Transcripts pending or not available.

This Is Property35:29

This Is Property Ep. 744: Buying in the Right Location for Capital Growth

Luke first appearance. John Pidgeon described him as one of Australia finest property researchers.

Watch on YouTube
Property Pals Australia35:07

Property Data Laws Part 1: Capital Growth Data Metrics

Two-part series on data metrics for property investors.

Watch on YouTube
Property Pals Australia41:54

Property Data Laws Part 2: Median Price and Platform Walkthrough

Continuation covering smart median pricing and platform usage.

Watch on YouTube
The Elephant in the Room~50:00

The Elephant in the Room Episode 16

Luke original 2018 appearance. Discussed livability, zonings, and early Microburbs data.

On PropertyUnknown

On Property

Early appearance discussing suburb data and livability scores.

Microburbs Podcast

Episodes hosted by Luke on the Microburbs channel.

Microburbs28:15

How Property Data Has Changed in 10 Years

Microburbs32:40

Street-Level Investing with Real Suburb Data

Microburbs35:12

Census 2021 Deep Dive: What Changed in Your Suburb

Browse by Topic

194 timestamped chapters grouped by theme across all episodes.

Quick Reference

All 9 podcast appearances sorted by date, most recent first.

DatePodcastChannelDurationKey Topics
November 2025Can AI Be Trusted with Property Decisions?The Elephant in the Room51:13AI, Data Limitations, Microburbs, Median Price
February 2025ChatGPT Advice, Real Investor Returns and What Drives Capital GrowthThis Is Property51:43Microburbs, AI, Data Limitations, Supply/Demand
August 2024How To Profit From The Data You Are Not Looking AtAUS Property Investors1:33:39Capital Growth, Microburbs, Investor Returns, Gentrification
2024Uncover the Secrets Behind Rising Property PricesHelpMeBuy Property55:09Capital Growth, Microburbs, Data Limitations, Median Price
2024Capital Growth Data Metrics Part 1Property Pals Australia35:07Capital Growth, Microburbs, Gentrification, Livability
2024Capital Growth Data Metrics Part 2Property Pals Australia41:54Investor Returns, Microburbs, Capital Growth, Supply/Demand
Late 2023Using Data and AI for Better Property DecisionsPropertyBuyer TV1:00:25Microburbs, Capital Growth, Supply/Demand, Gentrification
August 2023Does AI Hold the Key to Accurate Property Analysis?The Elephant in the Room53:44AI, Microburbs, Median Price, Data Limitations
March 2023The Data You Need to Consider When Buying Your Next PropertyAUS Property Investors1:29:06Microburbs, AI, Data Limitations, Livability

About These Appearances

Luke Metcalfe has appeared on 9 major Australian property podcasts with full transcripts analysed. Across these appearances, he covers property data science from the macro (national growth trends) to the micro (individual street performance). Common threads include the gap between what AI promises and what it delivers, the limitations of median price as a metric, and why street-level data matters more than suburb-level averages.

Hosts include Veronica Morgan (ranked number 3 mortgage broker in Australia via Chris Bates), Rich Harvey (multi-award-winning buyers advocate), Jef Miles and Joe Tucker (AUS Property Investors community of 50,000+ members), John Pidgeon (This Is Property, who described Luke as one of Australia finest researchers), Moxen (Investor Partner Group), and Sam Pal and Jared Krauss (Property Pals).

Methodology

All chapter timestamps were extracted from full YouTube auto-generated transcripts. Topic tags were applied by reviewing each segment for its primary subject matter. Timestamps link directly to the YouTube player at the correct position. Total content duration was calculated from video metadata. Some timestamps are approximate where topic transitions are gradual rather than abrupt.

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