How Shewideas thinks
A transparent starting point for founders — designed to improve questions, not promise answers.
What Shewideas does
Shewideas organizes practical business ideas around customer problems, local constraints and founder fit. It helps you move from discovery to a small validation experiment.
How scores are calculated
Problem severity, frequency and possible willingness to pay.
Technical complexity, operational burden and starting-capital needs.
Alignment with the founder’s skills, budget, network and available time.
Scores are comparative decision aids, not predictions. Inputs are illustrative until supported by direct research.
Evidence vs. assumptions
Evidence
Dated, attributable observations from interviews, public sources or experiments.
Assumptions
Beliefs that still need a real-world test. Shewideas labels them instead of presenting them as facts.
Data-source policy
We do not invent precise market sizes, customer counts or revenue claims. Evidence should include a source, date, summary and confidence level. Founder interviews and payment experiments are prioritized over broad desk research.
AI limitations
AI-generated suggestions may be incomplete, biased or wrong. Burmese translations may need human review, especially for industry-specific wording. The mock provider returns deterministic examples when no API key is configured.
Disclaimer
Shewideas results are not guaranteed business, financial, legal or investment advice. Verify claims, comply with local requirements and make decisions using your own research.