The engine that
answers the only
question that matters.
Six AI layers. Fourteen data sources. One answer: will users pay? Here's exactly how Boffo works.
Six layers of intelligence.
Fine-Tuned LLMs
We train domain-specific language models on a corpus of successful and failed startup post-mortems, VC investment memos, and Y Combinator batch data. These models understand founder-market fit, business model viability, and market timing at a level generic LLMs cannot match.
RAG + Vector Search
Retrieval-Augmented Generation grounds every analysis in real, current data. We embed and index 50,000+ VC deal records, funding announcements, competitor analyses, and market reports into a high-performance vector store. Every query retrieves the most relevant context before generation.
Context Engineering
Raw ideas are restructured through our proprietary context engineering pipeline before hitting inference. We extract entities, map competitive landscapes, identify ICP (Ideal Customer Profile), and format the submission into a structured prompt that maximizes model precision.
VC Metrics Engine
Our scoring engine evaluates 23 distinct VC metrics: TAM/SAM/SOM sizing, competitive moat depth, revenue model viability, founder-market fit signals, network effects potential, and more. Each is scored against benchmarks derived from funded vs. unfunded startup data.
Rapid Prototyping Engine
Once the viability report is generated, our system auto-builds a functional prototype of the product concept. Using component libraries and AI-generated UI flows, we create interactive mockups that accurately represent the core value proposition.
Demand Testing & WTP
The prototype is deployed to curated user panels matching the target ICP. We measure behavioral signals: time-on-task, feature engagement, conversion on simulated payment walls, and exit intent. This produces a Willingness-to-Pay (WTP) score — the only signal VCs actually care about.
Fourteen authoritative sources.
Crunchbase
Global VC deal database, funding rounds, valuations
Y Combinator
Batch company data, pivots, success patterns
Product Hunt
Consumer traction signals, launch resonance metrics
AngelList
Early-stage deal flow and investor behavior data
CB Insights
Market maps, sector trends, emerging technology signals
PitchBook
Private market valuations and investor portfolio analysis
SEC EDGAR
Regulatory filings, S-1 benchmarks for comparables
LinkedIn Talent
Team composition signals and talent density metrics
App Store / Play
Consumer app traction, review sentiment, retention proxy
G2 / Capterra
B2B software reviews, NPS proxy, competitive switching signals
SimilarWeb
Web traffic patterns, channel mix, audience overlap
Semrush
Keyword intent data, SEO opportunity sizing
USPTO Patents
IP landscape mapping, defensibility signals
Academic Research
Peer-reviewed market studies and behavioral economics data