……time to connect the dots. 🤖

Gh0stNnet avatar
Gh0st.exe
@Gh0stNnetNov 20, 2025

The Spaces updates the community on Ghost Network/Ghost Terminal’s path from a Dev.fun prototype to a production‑grade, AI‑run trading terminal. The host recounts incubating on Dev.fun to test interest, then outgrowing its single‑file/iframe constraints. Ghost (lead developer, ~20 years’ experience) describes rebuilding the stack, modularizing code, Dockerizing, and moving to container hosting via GitHub to mature the infrastructure. The product will roll out spot trading first in an open, non‑token‑gated beta, with perps to follow and additional modules after. An IPO on Dev.fun for GPI (a prediction index) will bootstrap the prediction market that complements GNN, the terminal’s token. Core tokenomics: fees from profitable activity across spot, perps, and prediction markets will be used to market‑buy and burn GNN, creating an aggressive deflationary loop. Governance will be handled by the Watcher DAO (token‑gated by top holders) to allocate treasury and steer development toward eventual autonomy. A casino module is teased for broader DeFi/Degen alignment. The whitepaper is slated for release by week’s end to detail supply, utility, and mechanisms, while the team addresses community skepticism by emphasizing experience, transparency, and phased delivery.

Ghost Terminal / Ghost Network community update: product, architecture, tokenomics, and roadmap

Participants and roles

  • Host / Project Lead (name not stated): facilitated the session, outlined product vision, tokenomics, and roadmap; fielded community concerns about timing and legitimacy.
  • Ghost (Lead engineer, ~20+ years of experience): detailed the technical architecture, limitations of the initial build environment, and the move to a more mature infrastructure.
  • Platform mention: Dev dot fund ("dev dot fund"), credited as the initial incubation platform and ongoing collaborator; teased future "alpha" related to them.

Purpose and context

  • Session served as an update on Ghost Terminal (aka Ghost Network): where the build stands, what’s shipping first, how the token model works, and how governance will function.
  • The team initially prototyped on Dev dot fund to gauge community interest and market timing. Given volatile markets and strong attention, they’ve accelerated toward a near-term product release.

Product vision: AI-run trading terminal and ecosystem

  • Core product: an AI-driven trading terminal.
  • Launch plan:
    • Spot trading ships first and is not token-gated initially (open for users to try and understand the framework).
    • Perpetuals (perps) to follow next; additional modules later.
  • Long-term: the stack is designed to become increasingly autonomous (AI-managed) while the team remains in the background building; the community is intended to have meaningful control via governance.

Technical architecture and build status

  • Origin on Dev dot fund:
    • Dev dot fund provides an integrated development environment (IDE) and serves apps via an iframe. Useful for rapid prototyping and idea validation.
    • Limitations encountered: the prototype grew into a ~2,500-line single-file app—unsuitable for maintainability and scaling (no clean separation of concerns, modularity, or multi-file structure).
    • LLM-assisted coding helped early, but they hit customization and structural limits within that environment.
  • Migration and maturation:
    • Moved code to GitHub, modularized the codebase, and separated concerns into multiple files/modules.
    • Containerized the application (Docker image) and deployed it on a container-hosted environment.
    • Infrastructure is now described as substantially more mature and scalable; Ghost cites 20+ years of engineering experience as guiding the transition.
    • While they can still "leverage" Dev dot fund where appropriate, the production stack now uses a conventional repo + containerized deployment for scalability and control.

Token model, fees, and burn mechanics

  • GNN (Ghost Network / Ghost Terminal ecosystem token):
    • Utility signaled:
      • Access to the trading terminal (over time; initial spot release is not token-gated).
      • Governance via the Watcher DAO (token-gated; see Governance section).
    • Deflationary design:
      • Fees generated from the terminal’s profitable trades (spot, perps) and the prediction market are swapped into GNN and then burned.
      • Team emphasized "constant buy pressure" from fee flows and "instant burns," characterizing it as strong deflation. (Note: actual efficacy depends on realized volumes/profits.)
    • Supply specifics: Not detailed in this session; to be finalized in the forthcoming whitepaper.
  • GPI ("prediction index" token) via Dev dot fund IPO:
    • The team was approved for an IPO on Dev dot fund to launch GPI, intended to power the prediction market component of the ecosystem.
    • Clarification: GPI relates to the prediction market; GNN remains the primary ecosystem token that benefits from fee-based buy-and-burn across modules (spot, perps, prediction markets). The IPO approval caused some concern in the community, but the team framed it as complementary, not competitive, to GNN.

Governance: Watcher DAO

  • A token-gated DAO ("top holders") that will decide on treasury allocations for future development.
  • The intent is progressive decentralization—community control increases over time, with AI handling more of the operational logic of the terminal.

Additional ecosystem modules (expansion)

  • Prediction market: to be bootstrapped via the GPI IPO on Dev dot fund.
  • Casino module: planned addition to tap broader degen infrastructure. Details intentionally limited at this stage.
  • Further modules: anticipated but not specified; the whitepaper is expected to outline more.

Roadmap and timing

  • Near-term:
    • Public spot trading release "shortly" (no exact ETA shared; initial release not token-gated).
    • Whitepaper targeted for release by end of the week (pending final review). It will detail token supply, utilities, and mechanisms.
  • Subsequent steps:
    • Launch perps after spot.
    • Roll out prediction market (with GPI IPO) and later casino module.
    • More "alpha" related to Dev dot fund to be disclosed in a future update.

Market positioning and community assurances

  • The team monitored market conditions to avoid launching at a poor time, while noting strong community attention.
  • Acknowledged community skepticism due to low-effort projects; emphasized:
    • Lead engineer’s 20+ years of experience and a full-stack team behind the effort (not just two individuals).
    • Migration off a prototype environment to a robust, modular, containerized production stack.
    • Transparent fee-to-burn mechanics aimed at aligning usage with token value capture.

Notable claims and clarifications (as stated by speakers)

  • "AI-run trading terminal" with increasing autonomy.
  • Fees from spot, perps, and prediction markets will be swapped into GNN and burned, described as "deflation on steroids."
  • GPI IPO on Dev dot fund is for the prediction market; GNN continues as the central token that accrues value from ecosystem fees.
  • Initial spot use will not be token-gated, enabling open trial of the product.
  • Dev dot fund recognized as instrumental for prototyping; ongoing relationship teased with upcoming "alpha."

Open questions and pending details (to be addressed in the whitepaper or future spaces)

  • Exact tokenomics (total supply, allocations, vesting) for GNN and GPI.
  • Specific fee rates, what constitutes "profitable trades," and the precise burn triggers/intervals.
  • Governance parameters for Watcher DAO (eligibility criteria for "top holders," proposal thresholds, voting mechanics, treasury policies).
  • Perps rollout timing and supported markets; risk management and liquidation logic.
  • Prediction market design (market creation, resolution sources, oracle mechanisms) and regulatory considerations.
  • Casino module scope, fairness/audits (RNG), and compliance.
  • AI models/guardrails: which models, oversight layers, fail-safes, and how human supervision interacts with AI autonomy.
  • Security audits, bug bounty plans, and published repo/documentation.

Action items and next steps (implied)

  • Publish the whitepaper by the stated target (end of the week).
  • Ship public spot trading (alpha/beta) for broad testing.
  • Share GitHub repository and developer documentation as feasible.
  • Announce details of the Dev dot fund GPI IPO (timeline, participation mechanics).
  • Define and publish Watcher DAO governance framework.

Operational notes from the session

  • Host conducted the space while driving (brief disconnects/pauses occurred).
  • Ghost joined mid-session, provided technical context, then had to drop; the host planned to continue the whitepaper overview but connection issues cut that short.