shilpakancharla/snn-networking

The project is a static proof-of-concept (PoC) or academic exercise rather than a sustained software effort. With only 11 stars and no updates in over four years (1,600+ days), it lacks the momentum and community required for a defensive moat. It essentially acts as a tutorial for using the 'snnTorch' library on a specific dataset from the Barcelona Neural Networking Center. The defensibility is minimal because it relies entirely on existing third-party libraries (snnTorch, PyTorch) and standard cloud infrastructure (AWS SageMaker). There is no proprietary algorithm or unique dataset presented. From a competitive standpoint, any researcher or engineer in the neuromorphic space could replicate these results within days using modern versions of the same tools. The risk of platform domination is high because the core value—optimizing network traffic analysis on neuromorphic hardware—is likely to be absorbed by integrated silicon-software stacks from hardware vendors like Intel (Lava framework) or specialized network hardware providers (Cisco/Huawei) rather than a standalone Python script repository.