Podbit · BiggerPockets Real Estate Podcast
The idea that house flipping is dead is flat-out wrong. What died is the forgiving, low-skill version — the era when even bad flippers made money. For disciplined investors, today's market is full of opportunity precisely because fearful competitors have stepped back.
Where this was said
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The episode opens with Henry Washington making a direct argument against the prevailing narrative that house flipping is no longer viable. He acknowledges that costs are up, margins are thinner, and some investors are getting burned — but frames this as a feature, not a bug. Bad flippers are being exposed by a tighter market, he argues, while disciplined investors are finding some of the best spreads in years. Henry introduces Dominique Gunderson, a New Orleans-based flipper doing 10 to 12 flips annually, and together they announce the blueprint they plan to share: how to find, buy, renovate, and flip houses for a profit in the current 2026 environment.
Dominique Gunderson currently runs 10 to 12 flips simultaneously in New Orleans, demonstrating that flipping at scale is still very viable in 2026.
Henry Washington and Dominique Gunderson have collectively done over 100 house flips, giving them deep perspective on how the market has changed.
SiteGPT attracted over 1 million visitors and $500K in total revenue without spending a cent on paid marketing. The secret: engineering as marketing — building free tools that rank on Google.
Bhanu quit his first job after just 8 months, moved back to his parents' house to cut costs, and started building. One product sold for $250K; the next hit $10K MRR in its first month.
90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competition keyword and funnels users back to the paid product.
50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–$1,800 LTV and you have a very healthy SaaS.
Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA linking to your main product, then score by volume, difficulty, build effort, and product relevance. That's the whole playbook.
Marketing feels painful for most builders. Engineering as marketing flips the script: instead of writing cold emails or blog posts, you build things — and those things rank on Google forever.
Don't spend months perfecting before launch. Ship the core feature, get real users, and let their feedback dictate the product roadmap. Premature polish is a trap.
SiteGPT launched and hit $10,000 MRR within its first month. That momentum was so overwhelming that Bhanu sold his existing SaaS, Feather, for $250,000 to free up all his time.
PropGPT launched with 20 downloads a day and strong influencer marketing but hit a ceiling at $1,000–$2,000 MRR. High download numbers masked a critical flaw: almost nobody stuck around after the free trial ended.
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