Podbit · BiggerPockets Real Estate Podcast
Raleigh-Durham combines one of the country's strongest job markets with home prices still accessible enough to house hack — duplexes under $400,000 are findable. For young investors who want career opportunity alongside real estate upside, Dave calls this the closest thing to a no-brainer market in 2026.
Where this was said
At 40:50 · chapter starts 38:50
Ashley Kehr opens the house hacking segment with an ambitious pick: Boston, Massachusetts. Her methodology was straightforward — rank the top 20 markets by 30-year appreciation and find one she'd actually want to live in. Boston made the cut, and the strategic logic is sound. The city has an unusually large supply of duplexes and triplexes — multi-unit properties that are the bread and butter of house hacking — which not every American city can claim. [1] — Ashley Kehr "Boston tops the 30-year appreciation charts and has an unusually large stock of duplexes and triplexes — exactly the asset type you need fo…" 38:45 High rents mean the tenant in the other unit contributes substantially toward a mortgage that would otherwise be crushing, and appreciation has been consistently strong for decades. Dave Meyer reinforces the pick, noting that for people already living in Boston, house hacking may be the only viable path to making housing costs manageable. He also acknowledges the entry price will be high, but 5–10% down loans and sub-urban options within the metro can make the numbers work.
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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