Hey PH 👋 — Yasiru here, founder of spark2build. I built this after watching enterprise product teams make decisions that contradicted their own knowledge, not because they were careless, but because the knowledge lived in twelve different places and no one had time to check all of them before a sprint started. The insight behind spark2build: the problem isn't that teams don't have enough information. It's that their information doesn't talk to each other. When a PM creates a Spark (a product idea), spark2build automatically cross-references it against a structured knowledge base using a combination of vector embeddings, a named-entity knowledge graph, and temporal freshness scoring. The output isn't a list of search results, it's a set of scored relationships with plain-English explanations, plus explicit knowledge gaps flagged by domain. We built specifically for financial services, EdTech, healthcare, and telco, industries where a missed regulatory implication or a contradicted compliance entry isn't just inefficient, it's a risk. Happy to answer any questions about the technical architecture or the product decisions behind it. Would love to hear from any enterprise PMs in the thread 🙏

Spark2Build

Surface what you know, and don't, before you build

Surface what you know, and don't, before you build