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 "Problem
When a wholesale supplier (e.g. construction materials) receives an RFQ, creating a quotation is painfully manual. Sales teams dig through emails, check inventory across systems, calculate prices, and assemble quotes by hand. This slows response times, causes errors, and costs deals.

Insight
RFQs are unstructured, but inventory and pricing are structured. The gap between the two is pure wasted human effort.

Solution
We’re building an AI agent that lives inside the supplier’s existing workflow (starting with email). The agent reads incoming RFQs, retrieves real-time inventory and pricing via MCP connectors, and automatically generates a ready-to-send quotation—accurate, fast, and consistent.

Why now
Wholesale margins are tight, RFQ volume is high, and speed wins deals. Suppliers can’t replace legacy systems—but they can augment them with AI agents.

Who it’s for
Wholesale suppliers in construction, manufacturing, and industrial goods who handle high RFQ volumes and rely on email-based sales processes.

Status
Early concept. Exploring MCP-based integrations with inventory and pricing systems." get?

Accepted Answer

"Problem
When a wholesale supplier (e.g. construction materials) receives an RFQ, creating a quotation is painfully manual. Sales teams dig through emails, check inventory across systems, calculate prices, and assemble quotes by hand. This slows response times, causes errors, and costs deals.

Insight
RFQs are unstructured, but inventory and pricing are structured. The gap between the two is pure wasted human effort.

Solution
We’re building an AI agent that lives inside the supplier’s existing workflow (starting with email). The agent reads incoming RFQs, retrieves real-time inventory and pricing via MCP connectors, and automatically generates a ready-to-send quotation—accurate, fast, and consistent.

Why now
Wholesale margins are tight, RFQ volume is high, and speed wins deals. Suppliers can’t replace legacy systems—but they can augment them with AI agents.

Who it’s for
Wholesale suppliers in construction, manufacturing, and industrial goods who handle high RFQ volumes and rely on email-based sales processes.

Status
Early concept. Exploring MCP-based integrations with inventory and pricing systems." scored 87/100 (🔥 Ship It). Stop brainstorming and start selling—this is the right pain, right time.