spark2build is a product intelligence platform for enterprise PMs. Organise your team's knowledge into 6 domains, user research, regulations, competitors, vision, roadmap, and product documents, then create Sparks (ideas). AI cross-references each Spark against your knowledge base using a knowledge graph and vector search, returning confidence-scored relationships and flagging gaps your team hasn't researched yet. Built for regulated industries where "we thought it was fine" isn't good enough.
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 🙏
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About Spark2Build on Product Hunt
“Surface what you know, and don't, before you build”
Spark2Build was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #144 on the daily leaderboard. spark2build is a product intelligence platform for enterprise PMs. Organise your team's knowledge into 6 domains, user research, regulations, competitors, vision, roadmap, and product documents, then create Sparks (ideas). AI cross-references each Spark against your knowledge base using a knowledge graph and vector search, returning confidence-scored relationships and flagging gaps your team hasn't researched yet. Built for regulated industries where "we thought it was fine" isn't good enough.
Spark2Build was featured in SaaS (41.5k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 127k products, making this a competitive space to launch in.
Who hunted Spark2Build?
Spark2Build was hunted by Yasiru Abeygunawardana. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Yasiru Abeygunawardana