The Problem with Using ChatGPT to Validate Ideas
ChatGPT is incredible for writing boilerplate code, drafting emails, and summarizing text. But it is fundamentally flawed when it comes to validating startup ideas.
Why? Because Large Language Models (LLMs) are trained using Reinforcement Learning from Human Feedback (RLHF) to be helpful and agreeable. When you ask ChatGPT, “Is a SaaS that helps dog walkers manage invoices a good idea?”, it will almost always say yes. It will give you a list of 5 reasons why it's a great idea, suggest a pricing model, and tell you to start building.
It is a cheerleader. But when you are deciding whether to spend 6 months of your life building something, you don't need a cheerleader. You need a sparring partner.
Hallucinations in Market Research
When validating an idea, you need hard facts. ChatGPT struggles with facts. If you ask it for competitors in a niche market, it will often hallucinate companies that sound real but don't exist, or cite companies that pivoted 3 years ago.
Similarly, if you ask it for keyword search volume, it has no access to Google's search volume data. It will estimate from patterns in its training data, which can lead you to build a product for a keyword nobody actually searches for.
The Olune Approach: Evidence Before Opinions
Olune still uses an LLM, but not as an oracle. The LLM writes the search queries, the research agents fetch real search results and search volume, and the LLM then has to make the call from that evidence.
- Reddit Agents: We search Google for Reddit threads, and search Hacker News directly, about your niche. You see links to the threads, and any text in quotation marks appears word for word in the search result we found for that thread.
- Competitor Mapping: We search Google and Product Hunt when you run it, so the list reflects what search shows now, not what a model remembers from 2021.
- Search Volume: We pull monthly search volume for the phrases a buyer might type, so you can see whether anyone is searching.
Once we have the receipts, we synthesize them into a structured verdict: Cook it, Sleep on it, or Kill it. No participation trophies.