Bootstrapped founder tests LLMs as a pre-validation sounding board for product ideas
Specialist_Age_7234 · reddit · 2026-08-22
A founder who has bootstrapped a small B2B SaaS for a year shares that before committing to any feature or repositioning, he dumps his half-formed thinking into an LLM chat and asks it to poke holes in his assumptions — it catches blind spots he misses from being too close. But he wonders how much of that feedback is genuinely sharp versus pattern-matched generic startup advice from training data: sometimes responses feel specific, sometimes like a mediocre 2019 blog post. His core question: when bootstrapped and the cost of being wrong is real, where does AI actually earn its place versus just making you feel productive?
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