Lightpaper
Lightpaper v1.0
Table of Contents
Abstract
Vision & Mission
Market Opportunity
Problems with Existing Centralized Exchanges
The use.com Solution Overview
Core Principles & Design Philosophy
Product Architecture Overview
Matching Engine & Order Book Design
Risk Engine & Liquidation System
Wallet Infrastructure & Custody Model
Deposit & Withdrawal Architecture
Security Architecture
Compliance, KYC & AML Framework
Infrastructure & Scalability
Trading Products
Fee Model
Liquidity Strategy
Market Making Framework
Token Utility Overview
Tokenomics Summary
Presale Structure (35%)
Presale Stages & Pricing
Angel Investment Round (5%)
VC Investment Round (10%) & Investment Rationale
Vesting & Unlock Schedules
Buyback & Burn Mechanism
Circulating Supply at TGE
Treasury Management
Ecosystem & Developer Programs
Marketing & Growth Strategy
Influencer & KOL Allocation
Operations & Strategic Growth Allocation
Roadmap (Technical)
Roadmap (Business)
Competitive Landscape
Revenue Model & Projections
Governance Framework
Risk Factors
Legal Disclaimer
Conclusion
1. Abstract
use.com is a next-generation centralized cryptocurrency exchange engineered for institutional-grade performance, deep liquidity, transparent risk controls, and sustainable token economics. At its core is a modular microservices stack with symbol-sharded matching, event-sourced state, sub-millisecond internal latency, and real-time risk evaluation. Custody is secured through MPC + HSM, layered withdrawal policy engines, and periodic proof-of-reserves and liabilities. Economics are disciplined: quarterly revenue-driven buyback-and-burn, hard unlock schedules, and transparent insurance fund flows. This lightpaper provides the technical, operational, and economic specification for use.com, including formulas for maintenance margin, liquidation ladders, fee discounts, and burn budgets. By publishing deterministic rules and auditable data, use.com aligns exchange incentives with traders, token holders, and regulators, aiming to operate as critical market infrastructure rather than a purely promotional venue. The lightpaper also details compliance posture, treasury governance, liquidity programs, market making frameworks, and a roadmap for product and business expansion, targeting both retail and institutional segments across key jurisdictions.
2. Vision & Mission
Vision: Become the most trusted, performance-first digital asset exchange globally, recognized for transparent economics, verifiable security, and regulated-grade reliability.
Mission: Deliver fair execution, institutional reliability, and long-term value creation for traders, investors, and partners via deterministic risk controls, audited custody, and revenue-linked token burns.
We view exchanges as financial utilities. To achieve durable trust, we publish the math behind liquidation, funding, and fee discounts; we disclose insurance fund flows and treasury movements; and we make latency, uptime, and depth metrics publicly visible. Our mission breaks into four operating pillars:
Performance: Sub-millisecond matching and globally low-latency APIs through hardware-aware engineering and symbol-level sharding.
Transparency: Versioned risk formulas, open insurance fund reporting, and quarterly burn attestations with transaction hashes.
Security + Compliance: MPC custody, dual-control admin ops, continuous monitoring, tiered KYC/AML, travel rule support, and jurisdiction-aware gating.
Alignment: Tokenomics centered on revenue-backed deflation, predictable unlocks, and governance signals that inform treasury bounds and listings.
By blending these pillars, use.com intends to set a higher bar for centralized exchanges, offering both speed and explainability while reducing counterparty and operational risk.
3. Market Opportunity
Crypto trading continues to grow, with annualized volumes in the trillions and derivatives exceeding 70% of daily turnover. However, concentration among a few venues exposes the market to single points of failure, opaque liquidation practices, and sudden downtime during volatility. Institutional entrants demand predictable connectivity, risk transparency, and strong custody assurances. Retail users in emerging regions (LATAM, SEA, MENA, Africa) need compliant onramps, local fiat access, and reliable mobile-first execution.
Macro trends include:
Increasing institutional allocation to digital assets.
Demand for transparent proofs of reserves/liabilities post high-profile failures.
Regulatory tightening around KYC/AML and the travel rule.
Growing sophistication of market makers requiring deterministic latency and fair priority.
The opportunity is to address these gaps with an exchange that provides:
Measured performance backed by observable metrics.
Clear liquidation math and insurance fund disclosure.
Disciplined, deflationary tokenomics tied to real revenue.
Localized access and licensing strategies.
Reliable custody and treasury governance.
By targeting underserved regions with compliant access and pairing that with institutional-grade APIs and controls, use.com can capture both volume growth and trust premiums.
4. Problems with Existing Centralized Exchanges
Many CEXs suffer from overlapping issues:
Opaque liquidation: Users cannot model liquidation prices due to hidden formulas, mixed price sources, or discretionary insurance fund usage.
Volatility downtime: API degradation, widening spreads, and delayed matching during high volatility lead to unfair execution and losses.
Inflationary tokens: Exchange tokens often expand supply to subsidize growth, creating persistent sell pressure without matching revenue.
Custody uncertainty: Insufficient proof-of-reserves/liabilities, unclear wallet segregation, and weak operational controls elevate counterparty risk.
Compliance inconsistency: Uneven KYC/AML enforcement and unclear jurisdictional gating reduce institutional participation and increase legal exposure.
These weaknesses erode market integrity. Traders need predictability: if liquidation math is known, they can manage risk; if uptime is reliable, they can deploy strategies; if tokenomics are disciplined, they can value the native asset. use.com addresses these problems by publishing formulas, enforcing deterministic systems, and aligning token supply with revenue.
5. The use.com Solution Overview
use.com integrates performance engineering, transparent risk, and disciplined economics into a single exchange:
Deterministic trading core: Symbol-sharded matching, event-sourced ledgers, and strict price-time priority, ensuring fair fills even under load.
Transparent risk math: Published formulas for maintenance margin, liquidation ladders, and ADL priority; mark prices derived from blended oracles and book mid.
Security-first custody: MPC + HSM keys, hot/warm/cold segregation, withdrawal policy engine with risk scoring, and quarterly proof-of-reserves/liabilities.
Revenue-linked tokenomics: Quarterly buyback-and-burn from net profits, with executed burn hashes and VWAP windows disclosed; hard caps and vesting.
Compliance-native: Tiered KYC/AML, travel rule integration, jurisdiction-aware gating, and audit-ready logs.
Liquidity programs: Hybrid internal + external market making, depth scorecards, negative maker campaigns, and transparent incentives.
The solution is intentionally modular, allowing independent scaling of trading, risk, wallet, and compliance services. Observability covers every domain: latency dashboards, insurance fund reports, burn attestations, and treasury allocations are public, enabling participants to assess integrity continuously.
6. Core Principles & Design Philosophy
Transparency by default: Publish liquidation formulas, mark price sources, insurance fund balances and flows, treasury movements, and latency/uptime metrics. Version and archive these disclosures.
Performance without compromise: Optimize end-to-end data paths; co-locate where permitted; deploy Anycast edges; maintain p99 targets and share them publicly.
Security-first: Least-privilege access, dual control for sensitive actions, device-bound admin keys, MPC + HSM for custody, continuous monitoring, and recurring drills.
Alignment via deflation: Token value accrues through revenue-driven burns and utility (fees, collateral, governance signals), not unchecked emissions.
Compliance and jurisdictional clarity: Product gating by license scope, travel rule adherence, SAR/STR pipelines, and regulator-ready audit trails.
Operational excellence: Incident playbooks, chaos and failover drills, SLOs with public reporting, and postmortems with remediation timelines.
These principles inform every subsystem decision, from how order books are replicated to how withdrawal policies are scored, ensuring consistency between stated values and day-to-day operations.
7. Product Architecture Overview
use.com is built as a microservices architecture with clear domain boundaries and deterministic interfaces:
API Edge & Routing: Anycast global entry points; REST for compatibility; WebSocket and gRPC for low-latency streaming. Adaptive rate limiting per identity/device; request signing with replay protection.
Matching & Risk Core: Event-sourced matching with symbol-level shards; replicated logs; periodic snapshots with delta streams; deterministic replay for recovery. Risk checks are inline before enqueueing orders.
Wallet & Settlement: Hot/warm/cold segregation with automated sweeps; MPC + HSM key custody; withdrawal policy engine applying risk scores, velocity limits, and geofencing; batch construction and fee estimation.
User & Compliance: Identity service with tiered KYC, sanctions/PEP screening, travel rule messaging, and immutable audit logs.
Market Data: Real-time L2/L3, mark price service blending oracle and mid-book, historical tick/funding archives; data integrity via checksums.
Observability & Control: OpenTelemetry tracing, SIEM pipelines, anomaly detection on withdrawals and margin events, admin action logging, and symbol-level kill-switches.
Deployment & Ops: Containerized services orchestrated via Kubernetes; IaC for reproducibility; GitOps pipelines; blue/green and canary releases with automated rollback.
Inter-service communication uses authenticated, versioned APIs. Critical paths (matching, risk, wallets) are minimized for latency; non-critical tasks (analytics, archives) run asynchronously. Config and parameter changes (e.g., margin tiers) follow change-control with approvals and audit trails.
8. Matching Engine & Order Book Design
Priority and determinism: Orders follow strict price-time priority. Deterministic ordering guarantees are enforced through monotonic sequence IDs per shard.
Data structures: In-memory order books with price-level aggregation; append-only event logs record order lifecycle (create, amend, cancel, fill). Snapshots plus deltas allow state reconstruction:
State_t = Snapshot_t + Δ Deltas_(t..now).Sharding: Each symbol is a shard. Shard has an active instance and a hot standby with synchronous log replication; failover RTO target <200 ms. Horizontal scaling achieved by adding shards; load-balanced routing maps symbols to shards.
Latency targets: Internal match p99 < 800 microseconds; gateway/API p99 < 15 ms globally using edge POPs and co-location for priority clients where permitted. Latency budgets are allocated per stage: ingress, auth, risk, enqueue, match, persist, publish, ack.
Circuit breakers and integrity checks: Circuit breakers trigger on abnormal spreads, oracle divergence, or throughput anomalies. Recovery requires quorum verification of order book integrity and price sanity.
Fairness safeguards: Deterministic tie-breaking; identical timestamp scenarios resolved by sequence ID. Cancel/replace follows standardized semantics to avoid ghost orders.
Example flow:
client_order -> auth -> risk_check -> enqueue -> match_loop -> log_persist -> publish fills/positions -> ack. Per-stage metrics are exposed to dashboards and post-trade analytics.
9. Risk Engine & Liquidation System
Margining model: Supports cross and isolated. Portfolio offsets allowed for correlated assets using conservative haircuts. Real-time margin recalculations on each book update and oracle tick.
Mark price construction:
mark = α * oracle_TWAP + (1 - α) * mid_book, with α set per asset liquidity; oracle sources require quorum and health checks.Maintenance margin schedule:
MMR = max(MM_base, k * |position_notional|)wherekscales with symbol risk tier. Tiers (e.g., Tier 1 BTC/ETH lowk, Tier 3 long-tail higherk) are published.Initial margin:
IMR = IM_base + m * |position_notional|, withm>kto provide buffer.Liquidation ladder: Positions liquidate in tranches (e.g., 25% / 25% / remainder) with increasing fees to replenish insurance. Liquidator selection is deterministic from an auction queue; fills follow priority to minimize impact.
Insurance fund transparency: Balance, inflows (liquidation fees), and outflows (loss coverage) published per asset. Coverage ratio target:
Coverage = Insurance / OpenInterest; alerts when below thresholds.Auto-deleveraging (ADL): Last resort. Ranking = function(profit%, leverage). Higher profit and leverage are de-prioritized first. ADL events are logged and aggregated to show fairness while preserving anonymity.
Stress testing: Scenario analyses on correlation shocks, volatility spikes, and oracle failures. Periodic tabletop and sim drills to validate parameters.
10. Wallet Infrastructure & Custody Model
Segregation: Hot wallets for ops, warm for batching, cold for deep storage. Automated sweeps move funds from hot to warm/cold based on thresholds to minimize hot exposure.
Key management: MPC combined with HSM for critical chains. No single operator can move funds; approvals require multi-party consent and hardware-bound keys.
Withdrawal policy engine: Risk scoring includes device, IP/geo, behavioral history, velocity, and chain risk tier. High-risk withdrawals may require manual review or delays; low-risk follow fast lane.
Proof-of-reserves/liabilities: Quarterly attestations; Merkle or ZK-based liability proofs; public wallet addresses and balances. Liability proof ensures total user balances ≤ on-chain reserves minus operational buffers.
Disaster recovery: Secondary custody provider for contingency; tested runbooks; periodic live drills; offline key material storage with geographic dispersion.
Operational controls: Dual control for address whitelists, large transfers, and policy changes. Segregated duties between ops, security, and finance.
11. Deposit & Withdrawal Architecture
Addressing: Address-per-user or per-deposit for UTXO chains to simplify reconciliation; memo/tag management for account-based chains to avoid mis-crediting.
Blockchain monitoring: Multi-node listeners with quorum; reorg-aware confirmation thresholds determined by chain risk tier:
confirmations = base + risk_factor. High-risk chains may require delayed credit.Crediting: Automatic credit post-threshold confirmations for low/medium-risk chains; manual or delayed credit for high-risk or low-liquidity assets.
Withdrawal batching: Consolidated outputs reduce on-chain fees; priority lane with higher fee for urgent users. Fee estimation uses recent mempool and block data with safety buffers.
Reconciliation & audits: Automated reconciliation between ledger and chain; daily ops sign-off; exception handling workflow; audit trails for all adjustments.
Fraud controls: Velocity and pattern checks; geofence anomalies; device binding; travel rule checks before outbound transfers where applicable.
12. Security Architecture
Perimeter and edge: Layered DDoS mitigation (edge + origin), WAF, bot scoring, TLS with modern ciphers, and strict headers.
Identity & access management: RBAC/ABAC with least privilege; hardware-backed admin auth; dual control for sensitive changes; break-glass accounts monitored with alerts.
Secure SDLC: SAST/DAST, dependency pinning, SBOMs, build signing, reproducible builds; pre-deploy checks and canary releases.
Monitoring & detection: SIEM with behavioral rules; anomaly detection on withdrawals, admin actions, and matching latency. 24/7 on-call rotation with clear escalation paths.
Assurance: Twice-yearly external pentests; continuous vuln scanning; public bug bounty with SLAs. Security posture reviews after major releases.
Incident response: Playbooks for custody, trading, and data incidents; postmortems with timelines, impact, remediation, and SLO adherence published when material.
13. Compliance, KYC & AML Framework
KYC tiers:
Lite: basic info, low limits.
Standard: document verification, selfie/liveness where permitted.
Enhanced: additional proofs (address, income/source of funds), enhanced monitoring.
AML monitoring: Rule-based plus ML for structuring, mixer interactions, sanctioned entity proximity, and cross-exchange hops. Case management with escalation SLAs and audit logs.
Travel rule: Integration with major TRPs; message exchange prior to settlement; fallback to manual review when counterpart lacks TR support.
Jurisdiction controls: IP/device/location checks; product gating (e.g., perps restricted in certain regions); licensing informs accessible products.
Reporting & retention: SAR/STR pipelines; regulator-ready audit trails; data retention per jurisdiction; privacy-by-design for PII handling.
Governance: Compliance committee reviews listings, marketing, and product changes; periodic policy refresh aligned with evolving regulation.
14. Infrastructure & Scalability
Cloud-native stack: Kubernetes-based deployment; IaC (Terraform) and GitOps for deterministic environments. Services are stateless where possible; stateful components use managed or self-operated clusters with redundancy.
Redundancy & failover: Multi-region active-active for reads; active-passive for writes to protect consistency. RPO ≈ 0, RTO < 5 minutes. Periodic failover drills.
Autoscaling: Per-symbol shard autoscale for matching and market data; edge autoscale for API ingress. Congestion control sheds abusive load gracefully.
Data integrity: Event log replication with checksums; periodic snapshot verification; immutability controls for audit trails.
Observability: Tracing, metrics, logs; SLOs for latency, error rate, fill quality; public dashboards for uptime and latency.
Deployment safety: Blue/green and canary releases; feature flags for risk parameters; automatic rollback on SLO breaches.
15. Trading Products
Spot: Majors, stables, and vetted long-tail assets. Listing criteria include liquidity, compliance, security audits, and project transparency.
Perpetual futures: USDT and USD-margined; competitive funding cadence; transparent rate calculation
funding = clamp((index_premium + interest_diff)/T, κ_cap). Index premium uses blended oracle and book data.Margin trading (phase 2): Cross and isolated leverage; smart borrow/lend routing with rate caps and collateral haircuts; liquidation consistent with Section 9.
Advanced order types: Post-only, reduce-only, IOC/FOK, stop-limit, trailing stop, OCO; TWAP/VWAP algos for professional clients.
Future products: Options pilot, structured notes, copy/portfolio trading with risk controls; each gated by compliance and risk review.
16. Fee Model
Maker-taker: 30-day rolling volume tiers; higher tiers receive tighter fees. Negative maker campaigns used to bootstrap depth on priority pairs.
Token discounts:
fee_effective = fee_base * (1 - min(β * H, λ_max))whereH= token holding multiple relative to threshold,β= discount slope,λ_max= discount cap.Funding fees: Flow between longs/shorts on perps; exchange infra fee ≈10% to cover ops.
Listing/data: Listing fees for qualified assets (subject to compliance), premium data/API tiers, cross-collateral borrow fees.
Example: Base taker = 8 bps. If
β = 0.02,λ_max = 0.5, and user holdsH = 15, then discount =min(0.3, 0.5), fee =8 * (1 - 0.3) = 5.6 bps.
17. Liquidity Strategy
Hybrid provisioning: Internal MM ensures launch stability; external MMs incentivized via rebates, inventory loans, and uptime/spread SLAs.
Depth incentives: Scorecards reward tight spreads and depth at multiple ladder levels (e.g., 50 bps). Rewards can be tokens or fee rebates tied to performance.
Cross-venue bridges: For majors, liquidity is bridged/hedged across venues to smooth spreads during volatility.
Listing governance: Transparent listing/delisting criteria, periodic reviews, and community input through governance signaling.
Transparency: Publish weekly depth, top-of-book spread, uptime, and adverse selection stats to evidence execution quality and attract additional MMs.
18. Market Making Framework
Inventory-neutral design: Quoting around fair value with bounded inventory (
|inv| <= inv_max). Auto-hedge on correlated venues to keep gamma bounded.Volatility-aware spreads:
spread = base + α * σ + γ * inventory_skew, where σ is realized volatility; α and γ are pair-specific and recalibrated as volatility shifts.Risk controls: Kill-switches on latency breaches, PnL drawdowns, and slippage; exposure buckets by asset class.
Reporting: Weekly reporting to partners on depth contribution, quote uptime, and adverse selection; continuous feedback loop to adjust incentives.
19. Token Utility Overview
Fee reductions and VIP boosts: Holdings + volume determine tier; see formula in Section 16.
Collateral utility: Reduced haircuts for token collateral on select pairs, with risk-adjusted limits.
Governance signaling: Token-weighted off-chain votes with on-chain attestations on listings, treasury bounds, and product priorities.
Burn participation: Holders benefit from reduced circulating supply via revenue-driven buybacks and burns.
Access: Potential priority access to new listings or products where compliant; staking for early product trials if permitted.
20. Tokenomics Summary
Total Supply: 200,000,000
35% Presale - 70,000,000
10% VC Investment - 20,000,000
5% Angel Investment - 10,000,000
10% Team - 20,000,000
10% Marketing & Listing - 20,000,000
15% Ecosystem Reserve - 30,000,000
5% Airdrop - 10,000,000
7% Liquidity Provision - 14,000,000
1% Influencers & KOLs - 2,000,000
2% Operations & Strategic Growth - 4,000,000
Supply control formula:
Burn_t = min(0.20 * NP_t / P_avg_t, Circulating_t)whereNP_t= quarterly net profit,P_avg_t= VWAP during buyback window. Burns continue until total supply reaches 100,000,000, then funds redirect to treasury buffer or ecosystem grants.
21. Presale Structure (35%)
70,000,000 tokens allocated across 10 stages with linear price escalation. Early stages reward conviction; later stages preserve listing headroom. Token contracts, allocation proofs, and vesting will be auditable prior to launch; on-chain vesting where supported.
22. Presale Stages & Pricing
Total Presale Supply: 70,000,000
Price Increase: +$0.05 per stage
Stage 1
4,000,000
$0.10
$400,000
Base
Stage 2
5,000,000
$0.15
$750,000
+50%
Stage 3
6,000,000
$0.20
$1,200,000
+100%
Stage 4
6,000,000
$0.25
$1,500,000
+150%
Stage 5
7,000,000
$0.30
$2,100,000
+200%
Stage 6
8,000,000
$0.35
$2,800,000
+250%
Stage 7
9,000,000
$0.40
$3,600,000
+300%
Stage 8
10,000,000
$0.45
$4,500,000
+350%
Stage 9
8,000,000
$0.50
$4,000,000
+400%
Stage 10
7,000,000
$0.55
$3,850,000
+450%
Total
70,000,000
-
$24,700,000
-
Weighted average presale price ≈ $0.353. FDV at final stage (200M supply @ $0.55) = $110M. Early buyers gain up to 5.5x price advantage vs final stage while leaving listing premium headroom.
23. Angel Investment Round (5%)
Allocation: 10,000,000 tokens
Price: $0.08 (20% discount to Stage 1)
Target raise: $800,000
Minimum: $25,000; ideal $50k-$150k; expected 8-20 angels
Vesting: 5% TGE, 3-month cliff, 18-month linear (21 months total)
Positioning: Belief capital, early distribution, advisory on product-market fit, and network amplification.
24. VC Investment Round (10%) & Investment Rationale
Allocation: 20,000,000 tokens
Price: $0.12 (20% discount to Stage 1, above angel)
Target raise: $2,400,000
Minimum: $250,000; typical $500k-$1.5M; expected 3-8 funds
Vesting: 0-5% TGE, 6-month cliff, 24-month linear (30 months total)
Rationale: Angels contribute early validation and community reach; VCs add network, liquidity introductions, exchange listings support, and compliance guidance. Pricing progression avoids undercutting presale; low TGE unlock preserves optics; buyback & burn offsets early dilution narrative.
Angel
5%
10,000,000
$0.08
$800k
$25k
5% TGE + 18m linear
VC
10%
20,000,000
$0.12
$2.4M
$250k
0% TGE + 24m linear
25. Vesting & Unlock Schedules
Team: 0% TGE, 12-month cliff, 36-month linear.
Marketing & Listing: 10% TGE, 12-month linear.
Ecosystem Reserve: 0% TGE, 6-month cliff, 36-month linear.
Airdrop: 10% TGE, remaining over 6 months tied to engagement KPIs.
Liquidity Provision: 20% TGE, remainder over 12 months.
Influencers & KOLs: 0% TGE, 3-month cliff, 9-month linear, milestone-based.
Ops & Strategic Growth: 10% TGE, 18-month linear.
Illustrative TGE circulating: Presale 15% (10.5M), Angel 5% (0.5M), VC 0%, Marketing 2M, Liquidity 2.8M, Airdrop 1M, Ops 0.4M ≈ 17.2M (8.6% of total). Adjust unlocks per market conditions and regulatory guidance.
26. Buyback & Burn Mechanism
Budget: 20% of quarterly net profits allocated to open-market buybacks executed at VWAP over a defined window.
Formula:
Burn_t = min(0.20 * NP_t / P_avg_t, Circulating_t)(see Section 20).Execution: Purchases executed transparently; burn transaction hashes published. Burns continue until total supply reaches 100,000,000.
Reporting: Publish NP_t, VWAP window, execution logs, burn hashes, updated circulating supply each quarter.
Fallback: If circulating supply ≤100,000,000, redirect budget to treasury buffer or ecosystem grants; disclose allocation and rationale.
27. Circulating Supply at TGE
Target <=10% of total supply to support orderly price discovery. Vesting curves are long-dated to avoid cliffs. A public dashboard will show unlock schedules, circulating supply, and historical burns; on-chain proofs where possible. Market-making programs will be calibrated to initial float to balance depth and volatility control.
28. Treasury Management
Governance: Multi-sig with independent signers; MPC co-sign for added safety; policy-based limits on withdrawals and vendor payments.
Allocation policy: 50-60% stables, 20-30% BTC/ETH, 10-20% native token; hedging via options/futures as prudent.
Runway: Maintain ≈24 months OPEX in low-volatility assets; rebalance quarterly.
Reporting: Monthly transparency reports; quarterly third-party attestation; disclose counterparty exposures, yields, and concentration.
Risk limits: Counterparty limits per custodian/venue; concentration caps per asset; stress tests on liquidity shocks.
29. Ecosystem & Developer Programs
Grants for API traders, connectors, SDKs, analytics dashboards, and research; milestone-based disbursement.
Trading competitions and liquidity quests with anti-sybil protections; rewards vested to encourage retention.
Listing accelerator with due diligence and compliance support for projects meeting security/liquidity criteria.
Tooling/integrations: Open-source libraries, backtesting tools, and data access for researchers; hackathons with targeted bounties.
Referral/affiliate: Fraud-resistant attribution; tiered rewards; transparent conversion and quality metrics.
30. Marketing & Growth Strategy
Performance marketing targeting high-intent traders; cohort ROI tracked; creative localized for priority regions.
Partnerships with payment rails, fiat on/off ramps, data vendors, and custody partners to improve access and trust.
Community strategy: Regional leads, education tracks, AMAs, local language support, ambassador programs with KPI-tied rewards.
Thought leadership: Transparency reports, latency and depth dashboards, proof-of-reserves, and research on market structure.
Lifecycle design: Onboarding flows, activation nudges (first trade guides), retention via VIP tiers, quests, and fee discounts; churn detection triggers re-engagement.
31. Influencer & KOL Allocation
Allocation: 1% of supply with strict vesting; no upfront unlocks.
Milestone-based releases tied to KPIs (registrations, funded accounts, quality volume).
Compliance: Clear disclosure guidelines; region-specific advertising rules observed.
Quality assurance: Performance clawbacks for low-quality traffic; transparency on campaign outcomes and costs.
32. Operations & Strategic Growth Allocation
Funds infrastructure scaling, licensing, legal, and banking integrations.
Supports opportunistic M&A or acqui-hire of specialist teams (quant, security, compliance).
Budgeting tied to roadmap milestones; quarterly review for efficiency and alignment with growth targets.
33. Roadmap (Technical)
Q1: Core spot engine GA; custody stack with MPC/HSM; proof-of-reserves beta; latency/depth public dashboards.
Q2: Perpetual futures launch; cross/isolated margin; insurance fund transparency portal; initial portfolio margin for correlated assets.
Q3: Advanced algos (TWAP/VWAP), portfolio margin expansion; regional edge POPs; failover drills and public uptime SLO reporting.
Q4: Options pilot; on-chain attestations for governance signals; chain-agnostic settlement rails; additional custody integrations.
34. Roadmap (Business)
Q1: Close angel + VC; file licenses/registrations in key jurisdictions; onboard first market maker cohort.
Q2: Complete presale; finalize Tier-1/Tier-2 MM agreements; launch fiat ramps in 2 priority regions; start public transparency reports.
Q3: Public launch; first major listings; localized entities in priority markets; institutional onboarding (prime broker/broker-dealer partners where applicable).
Q4: Expand licenses; banking partners in 3 regions; structured products pilot with compliant wrappers; deepen enterprise API relationships.
35. Competitive Landscape
Performance: Competes on latency, determinism, and uptime; publishes public latency/depth metrics unlike most incumbents.
Transparency: Published liquidation math, insurance fund reporting, burn proofs, and treasury disclosures differentiate from opaque peers.
Regulatory posture: Compliance-native gating and progressive licensing reduce jurisdictional risk compared to offshore competitors.
Token economics: Revenue-backed burn with hard caps and visible unlocks contrasts with inflationary or discretionary models.
Product breadth: Balanced spot, perps, and planned options/structured products with conservative risk and compliance gating.
36. Revenue Model & Projections
Core streams: Spot maker-taker fees; perp fees; infra fee ≈10%); listing fees; institutional API/data tiers.
Ancillary: Fiat on/off-ramp spreads; cross-collateral borrow fees; premium analytics; potential custody/prime services.
Illustrative model:
Spot:
R_spot = V_s * f_sPerp:
R_perp = V_p * f_pFunding infra:
R_fund = Funding_fees * ϕTotal:
R_total = R_spot + R_perp + R_fund + Listings + Data
Example: If monthly spot volume is $10B at 6 bps blended and perps $30B at 4 bps, and infra take on funding is $1M, then
R_spot = $6M,R_perp = $12M,R_fund = $1M, totaling ~$19M before listings/data.Profit allocation: 20% burn, 10% insurance top-up (if below target), remainder to OPEX, growth, and treasury buffer.
37. Governance Framework
Scope: Token-weighted signaling on listings, treasury bounds, buyback cadence, and product priorities.
Process: Off-chain voting for accessibility; on-chain attestations for auditability; quorum and supermajority thresholds to prevent capture.
Safeguards: Security council veto for proposals breaching compliance or risk limits; emergency pause powers for critical issues.
Transparency: Publish agendas, rationales, vote outcomes, and implementation timelines; maintain public archive of policy versions.
38. Risk Factors
Market risk: Extreme volatility can trigger ADL; mitigated by conservative MMR and partial liquidation.
Liquidity risk: New pairs may be thin; mitigated by MM incentives, depth SLAs, and cautious listings.
Counterparty/custody risk: Reduced via MPC/HSM, segregation, and proof-of-reserves; residual risk remains.
Regulatory risk: Evolving rules; mitigated through proactive licensing, product gating, and legal review.
Operational risk: Outages/bugs; mitigated by redundancy, chaos drills, code reviews, and incident playbooks.
Smart contract risk: For on-chain components, use audits, formal verification where feasible, staged rollouts, and kill-switches.
39. Legal Disclaimer
This document is for informational purposes only and does not constitute investment, legal, or tax advice. Tokens are speculative and involve high risk, including potential loss of capital. Access to products may be restricted by jurisdiction. Prospective participants should conduct independent due diligence and consult professional advisors. Product availability depends on licensing and local regulations; terms may change as regulatory guidance evolves.
40. Conclusion
use.com is engineered for longevity: high-speed, transparent trading; security-first custody; compliance-native growth; and disciplined, revenue-backed token economics. By publishing risk math, treasury actions, and performance metrics, the exchange aligns itself with traders, token holders, and regulators. Early supporters gain from clear incentives and a deflationary supply path, while the platform prioritizes stability, openness, and sustainable value creation. Continued investment in transparency, reliability, and compliance will differentiate use.com as a trusted venue for both retail and institutional participants.
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