Solana Gem Scanner

Token discovery with risk filters: DexScreener, RugCheck, scoring and alerts.

The project is shown at the level of problem, architecture and capabilities; some implementation details remain reserved.

01 · The problem

Discovery without risk context is noise. A useful scanner has to refuse more tokens than it surfaces.

02 · The idea

The pipeline discovers tokens, checks them, applies risk filters, assigns a score and sends alerts.

03 · The system

Token discovery → DexScreener → RugCheck → risk filter → scoring → alert. FastAPI, SQLite, Jupiter.

04 · The implementation

MVP in development. Its quality depends on rigorous filters and fewer irrelevant alerts.

05 · The next step

Tighten scoring and reduce false confidence.

The architecture

Technologies

Services demonstrated