> For the complete documentation index, see [llms.txt](https://dopameme.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dopameme.gitbook.io/docs/start-here/getting-started.md).

# Getting Started

Dopameme is built for one job: helping meme-market traders understand where attention is forming and whether that attention is worth taking seriously.

The product is not trying to be another execution venue. Users do not need to connect a trading wallet, fund an account, export keys, or route orders through Dopameme. The terminal is an intelligence layer. It watches market behavior, organizes evidence, and turns that evidence into readable operator context.

Start with the dashboard when you want a broad view of what is active. Open the confluence board when you want to see tokens that are gaining tracked-wallet attention across a selected window. Use the token page when you want the detailed read: chart, levels, market data, holder context when available, and the latest operator read.

Behind the interface, Dopameme records scans and observations into packets. Those packets let the system compare the current read against earlier evidence instead of treating every scan like a fresh, disconnected alert.

The best way to read Dopameme is simple:

1. Check what is showing attention.
2. Open the tokens that pass quality filters.
3. Read the operator context before reacting to the chart.
4. Compare the current read against the packet history.
5. Trade wherever you choose, outside the app.

The edge is not speed alone. The edge is structured attention, memory, and context.


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