Stop coding the wrong thing — AI-guided problem discovery & decisions

Stop coding the wrong thing — AI-guided problem discovery & decisions targets a $40.0B = 2,000,000 software-producing orgs x $20,000 ACV (annual product-discovery & decision tooling) total addressable market with medium saturation and a year-over-year growth rate of 18% estimated growth in product-management & developer tooling spend.

Key trends driving demand: AI-assisted product management -- LLMs can rapidly synthesize user research and generate testable hypotheses, lowering the cost of discovery.; Rising engineering unit costs -- higher developer salaries and cloud costs force teams to validate ideas before building.; Shift to outcome-based roadmaps -- execs demand measurable ROI and evidence-based decisions, increasing demand for validation tooling.; Telemetry proliferation -- product analytics and observability give measurable signals that can be used to predict experiment outcomes.; Remote & distributed teams -- misalignment across PM/Design/Eng increases the need for structured decision frameworks and single sources of truth..