What is Fireplace?
Fireplace is a trading interface for prediction markets, built on top of underlying liquidity and settlement venues such as Polymarket. It provides traders with a unified terminal offering real-time data, advanced execution, discovery across markets, social signal surfaces such as leaderboards and wallet tracking. Fireplace is designed to serve both active retail participants and professional traders who increasingly view prediction markets as a distinct asset class.
Rather than creating new markets or protocols, Fireplace focuses on the user-facing layer, e.g. how traders discover opportunities, interpret information and act quickly and confidently in prediction markets.
On the constraints of Prediction Markets
Prediction markets are becoming a viable, scalable way to speculate on and aggregate belief about future outcomes across politics, crypto, economics, sports and real-world events. Platforms like Polymarket have demonstrated that on-chain prediction markets can achieve real liquidity, fast settlement and mainstream visibility. At the same time, AI is dramatically increasing information production and prediction market participation, e.g. more events, claims, questions and automated trading activity.
This is creating a massive and growing underlying activity, speculating on uncertainty. Users want to price reality 24/7.
As prediction markets continue scaling, the bottleneck is no longer whether markets can exist. Instead, users are facing new problems, such as how to decide what to trade, what to trust and where to find signal. Prediction markets are exploding, but the tooling hasn’t kept up.
At a small scale, users can browse prediction markets manually. At a larger scale, browsing prediction markets manually breaks. With tens of thousands of active markets on platforms like Polymarket, traders struggle to find relevant opportunities, put together the information needed to form conviction and execute trades efficiently. This creates a shift from a discovery problem to a full trading workflow problem, spanning market selection, decision-making and execution.
At 10x scale, prediction markets do not break on liquidity or mechanics. They break when users stop trusting the product.
Key constraints at 10x scale are:
Discovery
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Too many markets make it difficult for users to find opportunities where they have edge, leading to wasted time and churn.
Contextual understanding
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Markets often move without clear explanation. When users don’t understand why a market is moving (e.g. who is trading, what information is driving it, or how it relates to other markets), they hesitate or disengage.
Information and Execution Latency
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Polymarket and most trading terminals lack real-time data and although some support take-profits and stop-losses, slow execution prevents traders from capturing edge.
Decision-to-execution UX
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If users cannot move seamlessly from information, to conviction, to execution – they abandon the platform.
Perceived market integrity
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Large or sudden price movements without visible rationale reduce trust. Users lose confidence when markets feel opaque or unpredictable.
Decision confidence at commitment
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Users only trade when they believe they have an edge. Interfaces that increase confidence at the moment capital is committed drive higher retention, trade frequency, and sizing.
Crucially, as is typical in crypto, we believe users feel all of these constraints at the interface layer and not within the protocol layer. When something goes wrong, users don’t think about oracles or arbitration mechanisms, they blame the app they used.
This is where Fireplace comes in. Whilst Polymarket answers ‘can this market exist and resolve correctly’, Fireplace answers ‘should I care about this market as a user, trade it and trust what I’m doing here?’.
Fireplace sits above Polymarket and absorbs the constraints Polymarket deliberately does not. Rather than presenting prediction markets as a search problem, Fireplace reframes them as a feed-based, social, context-driven experience anchored to real-time market activity and trader behaviour. This directly addresses the attention and signal extraction constraint. Users no longer need to browse. The interface decides what matters.
The Team
Fireplace is founded by engineers and quants who’ve operated at the sharp edge of markets, infrastructure, and crypto innovation.
Sumer – leads product, strategy, and growth
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Seven years in crypto and high-frequency trading, with early experience in software engineering and quant trading through traditional hedge fund internships.
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Worked across quant research, trading, and crypto market infrastructure before moving into product leadership roles.
Akshay – leads product and engineering
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Software engineer and entrepreneur with experience spanning Big Tech and venture-backed startups.
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Started his career at Amazon building products before leading engineering at an early-stage startup and building multiple ventures.
The moats
Fireplace’s stated north star ‘making users money’ further aligns the product with user incentives rather than protocol purity. Leaderboards, visible PnL, and social discovery shift participation from abstract probabilities to outcome-oriented behavior. Over time, Fireplace builds strong moats over its data on profitable signals, reputation graphs of informed traders, and user habits around a default interface for “what smart people are betting on.”
Prediction market participants only trade when they believe they have an edge. Fireplace improves the quality and confidence of decisions before capital is committed. By unifying wallet behaviour, market context, historical activity and correlated signals in one place, Fireplace reduces fragmentation and increases conviction for traders at the moment of execution. The extra decision confidence, not raw access to markets, is what we believe drives retention and value capture.
Institutionalisation as a Second-Order Effect
As prediction markets mature, participation becomes institutional. A growing number of hedge funds and systematic traders are emerging to trade prediction markets as an asset class, bringing new constraints around execution reliability, exposure management and operational trust.
Fireplace’s decision to build a professional trading terminal is a second-order effect of its core positioning. As Fireplace becomes the interface where signal, reputation and participation concentrate – professional capital naturally prefers to operate through that interface rather than directly against raw protocol infrastructure. This mirrors other financial markets, where institutions route through trusted interfaces rather than settlement layers. Institutional participation deepens liquidity and sharpens prices, reinforcing Fireplace’s consumer experience while further entrenching it as a centrepoint in the ecosystem.
As prediction markets represent a massive and growing activity, we believe returns will concentrate where scale creates unavoidable user pain. At 10x scale, that pain is attention, trust and decision-making under uncertainty. Polymarket makes prediction markets possible. Fireplace makes them usable, legible and worth returning to. We believe value will accrue to the interface that users trust when things are confusing and that is the layer Fireplace is competing to own.
Check out https://pro.fireplace.gg/ and @fireplacegg to explore more about what they are building.
