A 12,000-developer community. Built through hackathons, a public benchmark and system integrators.

Put the product in developers' hands and give them proof. BangDB, a NoSQL database, grew a community of about 12,000 developers with Lemniscate Growth, mainly through hackathons, supported by YCSB benchmark results against MongoDB and comparison content for MongoDB and Aerospike users.

Indirectly, yes. Hackathons create hands-on users, and enterprise buyers tend to choose databases their engineers already know. For BangDB, hackathons helped Lemniscate Growth build a community of about 12,000 developers, and a system integrator motion then carried that credibility into enterprise evaluations.

Prove performance with a trusted benchmark and make the cost difference concrete. BangDB used YCSB results showing it outperformed MongoDB and priced at $2,000 per instance, about 90% cheaper. Lemniscate Growth paired that with hackathons, content for MongoDB and Aerospike users, and system integrator partnerships.

BangDB used YCSB because engineers already trust it as the standard test for this class of database, while in-house speed claims rarely survive an engineering review. For the NoSQL database with built-in stream processing and AI, YCSB results showed it outperforming MongoDB. Those results became the center of the technical story: published, explained where engineers could check them, and used in sales conversations as independent proof.

System integrators gave BangDB, a real-time NoSQL database, a route into larger accounts than developer adoption alone could reach. We approached SIs that build data platforms for enterprise clients, formed partnerships around data and analytics projects, and developed joint positioning for enterprise use cases. That SI motion took the proof behind BangDB, a developer community of about 12,000 and YCSB results against MongoDB, into enterprise evaluations.

BangDB focused on developers first because CTOs rarely choose a database their teams have not used, so enterprise pipeline needs engineering adoption underneath it. MongoDB and Aerospike already owned developer mindshare, and a technically stronger NoSQL database still loses if engineers never try it. Hackathons became the main acquisition channel, putting BangDB in developers' hands and growing a community of about 12,000, with engagement continuing after each event.

It fits when your market resembles BangDB's. The NoSQL database sold where engineers influence the purchase, incumbents such as MongoDB and Aerospike held mindshare, and a recognized benchmark existed to settle performance claims. BangDB could also make a concrete cost comparison against a named competitor and had system integrators to carry it into enterprises. Without a standard test buyers trust, or a product developers can try hands-on, this model is harder to run.