
šļø Building the Liquidity Layer: Lighter's Multi-Instance Architecture & The Future of Tokenized Markets
š The Shift from Product to Infrastructure
Lighter is positioning itself not merely as a perpetuals trading platform, but as a foundational liquidity layer that can be integrated into any distribution channel globally. CEO Vladimir Novakovski emphasized a critical insight: in the onchain world, the traditional dichotomy between product companies and infrastructure companies no longer applies. "What's really cool about the onchain world is that that's not a choice we have to make. You can actually be both," Novakovski explained.
This dual approach has manifested in Lighter's multi-instance architecture, most prominently seen in the recent launch of a separate Lighter instance on Robinhood Chain. This framework allows Lighter to maintain its core permissionless platform while simultaneously deploying customized instances for specific partners and jurisdictions ā each with potentially different regulatory parameters, leverage settings, and asset listings ā while maintaining cross-instance interoperability through zero-knowledge proof technology.
"Market makers can quickly move capital back and forth between those two instances... the zero knowledge proofs actually make it really easy for market makers to move capital around... right now it's like within minutes and that's actually going to be even less."
š§ Technical Architecture: 3,000 Mac Minis and the ZK Proof Stack
Behind Lighter's performance lies a sophisticated technical infrastructure. The platform currently operates 3,000 Mac minis distributed across the United States, continuously generating zero-knowledge proofs for every transaction. This isn't limited to settled trades ā the system verifies every order, cancellation, and liquidation, ensuring correctness and fairness for all participants.
Lighter recently published a comprehensive technical deep dive detailing this stack, which sits on top of Ethereum and posts proofs regularly. The platform processes hundreds of millions of orders daily, translating to multiple billions in volume. This infrastructure enables Lighter to achieve institutional-grade latency while maintaining the transparency and security guarantees of blockchain technology.
The Robinhood Chain launch provided a dramatic demonstration of this system's reliability. During the live event demo in London, the team executed what turned out to be the first-ever trade on the system ā with engineers finalizing the setup just 30 minutes before going live. When Robinhood CEO Vlad Tenev remarked on the speed of the transaction, it validated months of infrastructure development.
š The Multi-Instance Strategy: Regulatory Flexibility Meets Global Liquidity
Lighter's decision to deploy separate instances rather than operate a single global orderbook represents a strategic bet on regulatory diversity and partner-specific optimization. Novakovski articulated why this approach makes sense for partners like Robinhood:
"For Robinhood specifically it makes a lot of sense for them to do it this way... they're growing their chain. There's a lot of activity on that chain. I think it's like one of the best launches of a new chain that we've ever seen."
The architecture enables several critical advantages:
- Regulatory Customization: Different instances can operate under different compliance frameworks. A US-facing instance serving KYC'd Robinhood users can maintain different parameters than the permissionless core instance, even while market makers arbitrage between them.
- Asset Variety: Partners can list jurisdiction-specific assets or products tailored to their customer base without affecting other instances.
- Performance Optimization: Each instance can be optimized for its specific use case and user base.
- Maintained Liquidity: Despite instance separation, market makers view the system as "one large order book globally" because capital can flow between instances within minutes (soon to be even faster with upcoming Lighter VM and Ethereum Foundation interoperability work).
Novakovski acknowledged the liquidity fragmentation concern but reframed it: "You're only as fragmented as there's slowness in moving capital back and forth. If that doesn't exist then you're in a really great spot."
š° Token Economics: The $30 Million Burn and Programmatic Value Accrual
Recent months have brought increased clarity on Lighter's token economics, culminating in a significant token burn that represented approximately $30 million at the time of execution. This decision addressed community questions about the distinction between buybacks and burns, and the relationship between equity and token holdings.
Novakovski explained the rationale behind burning newly purchased tokens rather than treasury holdings: from a US tax perspective, it's more efficient to burn tokens with different cost basis that were recently acquired, while the economic impact to token holders remains identical.
The key structural commitments include:
- Programmatic Buybacks: The system has been operating for over 6 months, with buybacks occurring programmatically from protocol revenues.
- Quarterly Burns: Burns will occur quarterly going forward (the first burn covered two quarters).
- All Value to Token: The equity structure exists only as a wrapper for token holdings on behalf of equity investors, with no dual-class economic rights. "All the equity investors were told... from now on your equity, the only meaning it has is that it's going to represent token holdings for you with the schedule," Novakovski stated.
- Future-Proofing: When asked about the equity structure, Novakovski noted that if tokenized equity were available from day one, "we wouldn't even need to have these... to work backwards to make it compatible with traditional system to begin with."
This approach gained additional validation from the CLARITY Act provisions, which support revenue sharing to token holders when revenue is generated programmatically onchain and distribution parameters are governed by decentralized voting ā potentially classifying such tokens as non-securities under certain conditions.
š Revenue Diversification: Beyond Bitcoin Correlation
Lighter's revenue profile has evolved to show increasing diversification from Bitcoin price movements. Recent data indicates the platform generates approximately $70,000 in daily revenue on a 7-day average basis, with periods reaching $100,000 per day. Over previous months, the platform maintained around $80,000 daily for extended periods.
This revenue comes from an expanding array of sources:
- Traditional Crypto Perpetuals: Bitcoin, Ethereum, and major altcoins
- Equity Perpetuals: Tokenized stocks including Korean equities (Lighter was the first DEX to list Korean equity perpetuals in February)
- Pre-IPO Perps: Trading instruments for companies like Anthropic, OpenAI, SpaceX, and other AI leaders
- Emerging RWAs: Recent listings include gold perpetuals and other real-world asset derivatives
Importantly, every major AI news event has become a catalyst for perpetuals volume. When Anthropic releases benchmark results or OpenAI announces model updates, traders can immediately express views on Lighter. "You can trade those events as a consequence of those events on Lighter," Novakovski noted.
Despite growing revenue, Lighter maintains an explicit strategy of not "revenue maxing." The platform offers zero fees for retail users and charges non-retail participants fees lower than virtually any competitor. Meanwhile, the cost structure remains highly favorable: proof generation (the primary infrastructure cost) represents only 10% of revenue, creating substantial operating margins.
š Product Roadmap: Options, AI Agents, and Advanced Trading
Options trading represents Lighter's most significant near-term product expansion. The introduction of options will unlock entirely new market opportunities, particularly in the tokenized securities space. Novakovski highlighted a compelling use case: "Imagine options on pre-IPO stocks... even if the actual stock isn't traded actively yet, that doesn't mean the option couldn't be."
This creates a potential pathway for institutional participation that currently doesn't exist: "Institutions that actually want to trade stocks and options, like they can't trade the pre-IPO stock, but imagine that they could trade a tokenized version of the option."
Beyond options, Lighter is expanding into several additional areas:
- Programmatic Trading Strategies: TWAP (Time-Weighted Average Price) strategies have proven unexpectedly popular. The platform is exploring expanded capabilities for algorithmic trading execution.
- AI Agent Integration: Development of systems where traders can describe their market thesis in natural language, and AI agents execute corresponding strategies. "Imagine that you can tell an AI agent... here's like in English here's my thesis on the markets like go out and trade it," Novakovski explained.
- Pair Trading Infrastructure: Enhanced tools for relative value strategies across the expanding universe of listed instruments.
- Private TWAPs: While not in the immediate top priorities ("it's like not something customers ask for... it's more like the top 10"), private execution using ZK technology remains on the roadmap.
š Geographic Expansion and Partnership Strategy
Lighter's partnership strategy focuses on platforms with exceptional distribution capabilities. The two anchor partnerships ā Robinhood and Telegram Wallet ā illustrate this approach, though they utilize different technical architectures. "Telegram wallet actually uses Lighter core. Robinhood uses the new instance," Novakovski explained.
The team maintains an active global presence, with upcoming travel to Asia for conferences in late September and early October. The focus remains on cultivating relationships with both:
- Maker Side: Expanding market maker relationships with firms that can operate across multiple instances, including both offshore entities and those willing to undergo KYC/KYB for regulated instances. "There are others that have various entities onshore and offshore that will participate on both sides," creating natural liquidity bridges.
- Taker Side: Growing the retail and institutional trader base through both direct channels and partnerships. The go-to-market team has been scaled to roughly 50/50 split between core retail growth and partnership development.
Looking at potential future partnerships, Novakovski emphasized that the multi-instance framework only makes sense for platforms with strong distribution. While he suggested there aren't "thousands of platforms that have amazing distribution," there are multiple beyond Robinhood and Telegram that could justify dedicated instances.
šØš³ The Chinese AI Market Opportunity
As Chinese AI companies like DeepSeek prepare for potential public market debuts, Lighter is positioning to capture trading activity around these events. Novakovski sees this as part of a broader pattern where AI news cycles drive perpetuals trading volume in ways that haven't translated to other crypto assets.
An interesting alpha opportunity may emerge from neutral benchmarking of Chinese AI models. Cognition (builders of Devon, founded by Novakovski's former co-founder Scott Woo) has developed benchmarking systems for evaluating AI model performance on coding tasks. When Chinese models are evaluated against existing rankings of Anthropic and OpenAI models, this could provide tradeable information on Lighter.
The approach to listing specific Chinese companies remains demand-driven: "Which ones are we adding next this week, next week, the week after ā it's driven by customer demand and it's driven by liquidity for market makers."
š” Lessons from TradFi: What to Build vs. How to Build
Novakovski's career arc ā from traditional finance (including Citadel during the 2010 Flash Crash) to Silicon Valley, and now to crypto ā informs Lighter's approach. He distinguished between two types of learning:
"In TradFi from being there I learned a lot about what to build when it comes to trading. In Silicon Valley, I learned a lot about how to build it. Meaning like how to pick the best team, how to run processes, how to find good investors and stuff like that."
The TradFi experience instilled a stress-testing mentality for infrastructure: "I always ask that question... okay how would this have survived the flash crash or would it have survived the flash crash? How would this... if another 2008 happened how would this technology handle that? If there was another Madoff... and as it turned out we had another Madoff ā it was SBF."
This perspective shapes Lighter's architectural decisions, prioritizing robustness and verifiability over pure performance metrics. The 3,000 Mac minis generating continuous proofs represent this philosophy in practice ā even at significant infrastructure cost, the system maintains cryptographic verification of every action.
š® Looking Forward: Revenue Targets and the Macro Picture
While Novakovski declined to provide specific 2027 revenue projections ("it's too far ahead to throw out a number"), several factors point to significant growth potential:
- Partnership Scaling: As Robinhood Chain opens new jurisdictions and customer bases, Lighter will "grow with them."
- Product Expansion: Options, AI agent integration, and expanded RWA offerings will create new revenue streams.
- Market Environment: Following what Novakovski expects will be "three massive trillion dollar plus IPOs" (SpaceX being two of the remaining ones), risk capital will likely return to crypto-native assets, potentially driving volume across all Lighter instances.
- Institutional Adoption: As regulatory clarity improves (particularly around the CLARITY Act), institutional participation in tokenized markets should accelerate.
The macro setup appears increasingly favorable. AI IPO activity hasn't cannibalized crypto speculation ā it's created new trading opportunities in perpetuals markets while traditional crypto remains in a transitional phase. Each AI model release, each benchmark result, and each funding announcement creates immediate trading catalysts on Lighter that didn't exist in previous cycles.
š Closing Thoughts: The Renaissance Builder's Approach
The conversation revealed an interesting dynamic in Novakovski's relationship with Robinhood CEO Vlad Tenev. Their discussions range from "the inner workings of tokenized stocks" to "how theorem was proved using formal verification," reflecting Tenev's background as a graduate student of Terence Tao (described as "the best mathematician in the world").
This intellectual range mirrors Lighter's own ambitious scope: building infrastructure that must satisfy both the technical rigor of zero-knowledge proofs and the practical demands of market makers moving billions in capital; creating systems that work both for crypto-native permissionless trading and regulated institutional channels; and maintaining the flexibility to deploy instances globally while ensuring liquidity remains unified.
As traditional finance continues its inevitable migration onchain, Lighter is positioning itself not as a competitor to existing platforms, but as the underlying liquidity infrastructure that makes tokenized markets function ā regardless of the front end, jurisdiction, or regulatory framework. The multi-instance architecture, ZK proof system, and programmatic token economics represent an integrated bet that the future of trading infrastructure looks radically different from today's fragmented landscape.
"In 100 years if there's the next Elon whoever that might be... that person should start their business onchain," Novakovski concluded. Lighter is building the rails to make that future possible.
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