Podbit · God Mode Podcast
Pieter Levels shipped a native iOS app declaring he's 'no longer iOS retarded.' Luca suspects it's a direct response to Nomad Table, which hit $1M ARR and 70K users with an iOS-only app that actually connects nomads in person — something Nomads.com never managed.
Where this was said
At 37:36 · chapter starts 34:56
The timing is suspicious and the hosts say so: OpenAI retracted SWE-Bench Pro right before shipping GPT-5.6 Soul, the model that would otherwise have been evaluated on it. Their audit found 30% of benchmark tasks are simply broken. [1] — Rik "30% of SWE-Bench Pro tasks broken: OpenAI audited SWE-Bench Pro and found 30% of its tasks are broken, leading them to retract their recomm…" 35:00 Rik notes they've been skeptical of benchmarks for a while — that's partly why they use BridgeMind, which maintains its own independent evaluation. Ben raises a deeper problem: if the AI models doing the auditing are the same models being benchmarked, the process is fundamentally compromised. Who watches the watchmen? The answer, increasingly, is other AI — and that's a problem nobody has cleanly solved yet.
OpenAI audited SWE-Bench Pro and found 30% of its tasks are broken, leading them to retract their recommendation that the research community use it as a leading coding benchmark.
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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