Question 1

Why did my startup get a low score?

Accepted Answer

Low scores usually reflect weak market fit, crowded competition, unclear differentiation, or high execution risk. Our AI analyzes your idea across these dimensions and explains the main issues in the breakdown. Use the verdict and suggested pivot to refine your concept and re-roast to see improvement.

Question 2

What do the roast score tiers mean?

Accepted Answer

Ship It (85–100): Strong idea, worth validating further. Decent (70–84): Promising but has gaps to address. Needs Work (50–69): Significant issues; use feedback to iterate. Roasted (0–49): Major concerns; consider pivoting or solving the core problem before building.

Question 3

How does DontBuildThis score startup ideas?

Accepted Answer

Our AI evaluates your idea on market fit, competition, differentiation, execution risk, and clarity. It returns a score out of 100, a tier, a verdict, and a detailed breakdown so you know exactly what to improve before spending time and money building.

Question 4

Can I improve my startup idea score?

Accepted Answer

Yes. Use the breakdown and verdict to address weak points, then submit an updated idea or pivot. Many founders improve their score by narrowing the problem, clarifying the target customer, or strengthening their unique angle.

Question 5

What is a good score for a startup idea?

Accepted Answer

Scores of 70+ indicate promising ideas worth exploring. 85+ suggests strong potential. Scores below 50 mean the idea likely needs significant rework or a pivot before it’s worth building.

Question 6

What score did "A cognitive stimulation system designed for elderly individuals with dementia, built around an association-based card game using large, clear, and easily recognizable images. Players connect elements by categories (such as objects, foods, animals, or themes like childhood, nature, and music), supported by visual, auditory, and interactive cues to encourage engagement and recall.

While association games are widely available, this solution differentiates itself by combining deep personalization, structured cognitive monitoring, and integration with care workflows. The experience can be tailored with meaningful content from the user’s life—such as family photos, significant places, and familiar music—enhancing emotional memory activation and user engagement beyond generic cognitive exercises.

The system follows simple and intuitive interaction formats, such as matching pairs or organizing cards into categories, with dynamically adjusted difficulty based on user performance. It provides real-time feedback through gentle visual and auditory cues, along with progressive hints designed to support the user without causing frustration.

Beyond gameplay, the system is designed as a clinical support tool rather than a standalone product. It continuously tracks performance metrics such as accuracy, response time, and progression over time, generating structured insights for caregivers and healthcare professionals. These insights can support cognitive assessment, inform therapeutic decisions, and enable more personalized care strategies.

To ensure real-world relevance and adoption, the platform is intended to align with existing care practices and, where possible, integrate with care management systems and clinical workflows. The long-term goal is to pursue clinical validation and partnerships with healthcare providers, positioning the solution not as another cognitive game, but as a measurable and evidence-based intervention.

By combining personalization, adaptive stimulation, and data-driven monitoring within a care-integrated framework, the system moves beyond entertainment into a scalable cognitive care solution, designed to deliver meaningful impact for patients, caregivers, and healthcare organizations." get?

Accepted Answer

"A cognitive stimulation system designed for elderly individuals with dementia, built around an association-based card game using large, clear, and easily recognizable images. Players connect elements by categories (such as objects, foods, animals, or themes like childhood, nature, and music), supported by visual, auditory, and interactive cues to encourage engagement and recall.

While association games are widely available, this solution differentiates itself by combining deep personalization, structured cognitive monitoring, and integration with care workflows. The experience can be tailored with meaningful content from the user’s life—such as family photos, significant places, and familiar music—enhancing emotional memory activation and user engagement beyond generic cognitive exercises.

The system follows simple and intuitive interaction formats, such as matching pairs or organizing cards into categories, with dynamically adjusted difficulty based on user performance. It provides real-time feedback through gentle visual and auditory cues, along with progressive hints designed to support the user without causing frustration.

Beyond gameplay, the system is designed as a clinical support tool rather than a standalone product. It continuously tracks performance metrics such as accuracy, response time, and progression over time, generating structured insights for caregivers and healthcare professionals. These insights can support cognitive assessment, inform therapeutic decisions, and enable more personalized care strategies.

To ensure real-world relevance and adoption, the platform is intended to align with existing care practices and, where possible, integrate with care management systems and clinical workflows. The long-term goal is to pursue clinical validation and partnerships with healthcare providers, positioning the solution not as another cognitive game, but as a measurable and evidence-based intervention.

By combining personalization, adaptive stimulation, and data-driven monitoring within a care-integrated framework, the system moves beyond entertainment into a scalable cognitive care solution, designed to deliver meaningful impact for patients, caregivers, and healthcare organizations." scored 74/100 (👍 Decent). Great intentions, but you’re building a product and a PhD thesis at the same time.