A practical framework for validating an AI venture opportunity
Move from an interesting technology to a testable market need, a focused AI hypothesis and a decision grounded in customer evidence.
SILICON FOUNDERS KNOWLEDGE HUB
A practical library for founders, venture builders and capital participants. Start with published guidance, follow the sources and use the questions to decide what to test next.
Read the featured guideONE LIBRARY, CLEAR PATHS
Browse 13 published guide, glossary and Q&A items, plus 24 public Silicon Founders books, an assumption-based scenario tool and source-led research perspectives. Editorial formats in development remain clearly marked.
Move from an interesting technology to a testable market need, a focused AI hypothesis and a decision grounded in customer evidence.
A disciplined way to learn how a real user experiences a problem, what they do today and what may change their behavior.
The smallest credible product or experiment that lets a team learn whether a key customer and business assumption holds.
A condition in which a defined group repeatedly chooses a product because it solves an important problem better than available alternatives.
An estimate of the full revenue opportunity for a defined product in a clearly specified market under stated assumptions.
A contractual instrument whose terms may provide for a future ownership interest if specified events occur; the document and local law matter.
A voluntary NIST framework that organizes AI risk-management work through Govern, Map, Measure and Manage functions.
Use conversations and workflow observation to test assumptions about a defined user, problem, buyer and alternative.
Test the user, recurring problem, current workaround, buyer path and value hypothesis before committing to a larger build.
Define the learning question first, then select a minimal experiment that makes a meaningful user outcome observable.
Define a buyer and use case, estimate identifiable purchasing units, and show the assumptions and reachable segment separately.
Look for repeated behavior from a defined segment and understand why people continue, expand, refer or stop.
Map use context, affected people, data, failure modes, evaluation criteria, human oversight and fallbacks before a pilot.
No published items match those filters. Clear one or more filters, or browse the editorial formats below.
EDITORIAL FORMATS
Every published item should answer a real question, explain its evidence and make the next step easier. We will add formats as material is reviewed.
Structured explanations with sources, decision prompts and practical next steps.
Read the published guideRepeatable worksheets for discovery, product choices and distribution experiments.
Editorial work in progressEvidence-led sector notes with scope, dates and source limitations made clear.
Editorial work in progressSearch six reviewed definitions connected to sources, guides and venture pathways.
Browse the A–Z glossaryPractical, source-reviewed responses with steps, context and limits.
Browse reviewed answersTry an assumption-based market-sizing scenario. Inputs stay in your browser; results are not forecasts.
Open the scenario toolBrowse source-led guides, sector perspectives, hypotheses and editorial methods; formal research briefs remain in development.
Explore Research & InsightsDiagrams and visual models that make a complex process easier to inspect.
Editorial work in progressExplore 24 published Silicon Founders books, available as public PDF downloads. These educational publications do not represent investment offers or guarantee outcomes.
Browse the publication libraryHOW CONTENT EARNS A PLACE HERE