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We implemented a basic threshold-signing (TSS) appchain architecture as the new baseline to remove single-signer bottlenecks and plug into the main transaction stack; shipped a default Block Explorer for all appchains that’s customizable (views, entities, UX) while staying consistent from local dev to production; completed Avail DA integration so low-latency appchains can use a centralized sequencer with Avail data availability and seamless multichain access; delivered the foundation for an AI-powered arbitrage and trading bot appchain where strategies are defined in a DSL that compiles to WASM and controls users’ wallet logic, enabling rich trading and solver-style strategies; and enabled SQL-based queries over block data with a prototype UniswapV2 indexer appchain that other appchains can consume as a data service for composable, queryable onchain analytics.
In December, we will take the new signing appchain flow from architectural baseline to a fully wired, testnet-ready component by integrating it into the cross-chain transaction flow on the private testnet, validating liveness and reliability of threshold signing, and ensuring end-to-end observability of signing operations; evolve the Pelagos AI-powered arbitrage and trading bot appchain from prototype to a full product with a robust strategy lifecycle (creation, deployment, upgrade), multi-strategy trading, fees and rewards, risk guardrails, and richer monitoring for live strategies on the private testnet; and deploy the indexing appchain to testnet, extending it beyond UniswapV2 to cover a wider range of DeFi primitives (DEXes, lending, LP positions, etc.) while tightly integrating it with the yield-farming appchain so strategies can consume indexed onchain data directly as a first-class input.
Pelagos is focused on three GTM pillars: shipping real cross-chain use cases with chains/foundations (especially hard-to-access ecosystems), building an in-house AI-powered arbitrage and trading bot using Web2/Web3/AI, and giving indexers clean multichain data directly from Pelagos instead of raw RPC hacks.
On Liquid Markets, we stabilized trading (orders, storage, bots, charts) and set up a Zealy campaign; next, they’ll integrate Hyperliquid’s API and launch a mobile app for cross-chain perp trading. We’ll kick off Zealy campaigns for LayerCover once Liquid’s community activities are done.
Launched the Liq Markets Alpha Campaign with over 9000 transactions generated on Liq Markets during the first week. Twitter grew ~23% (1300+ → 1600+). Discord grew ~23% (1700+ → 2100+). 3rd Builder’s Spaces was organized with Liq Markets. Four articles released expanding on the possibilities and use cases of Pelagos. Our Founding Engineer, Krishna joined ZyptoApp’s Spaces talking about centralized platforms.
TSS Appchain: The new architecture baseline
Implemented a basic version of the new threshold-signing (TSS) appchain architecture. This is the foundation for removing single-signer bottlenecks and will evolve into the new TSS appchain flow integrated into the main transaction stack.
Block Explorer for every appchain, from local to cluster
Shipped a Block Explorer that now runs by default in the local development environment for all appchains. Each appchain can customize its explorer (views, entities, UX) while keeping a consistent experience from laptop to production clusters.
Avail DA integration completed
Completed Avail DA integration so appchains that require minimal latency can leverage a centralized sequencer while simultaneously benefiting from Avail data availability and seamless access to multichain infrastructure.
AI-powered arbitrage and trading bot appchain foundation with DSL
Delivered a baseline implementation of the arbitrage & trading appchain. We have developed the flow, initial DSL specs, and first successful strategies. Formalized the DSL spec (EBNF) and a strongly-typed runtime module exposing 11 core primitives (sources, indices, triggers, batches, simulation, risk, etc.), enabling composition without touching WASM directly while keeping safety. On the platform, strategies can now be created via a DSL that compiles to WASM code controlling a user’s wallet management logic. This forms a strong base for trading use cases and custom solver-style strategies.
SQL-powered data access & UniswapV2 indexer appchain prototype
Enabled appchains to run SQL queries over block data, and built a prototype indexer appchain for UniswapV2 contracts. Any appchain can connect to this indexer chain and consume its onchain data as a service, unlocking composable, queryable onchain analytics.
New signing appchain flow: Testnet-ready & integrated
Take the new signing appchain flow from architectural baseline to a fully wired, testnet-ready component: integrate it into the cross-chain transaction flow on the private testnet, validate liveness and reliability of threshold signing, and ensure end-to-end observability for signing operations.
Full-featured Pelagos AI-powered arbitrage and trading bot appchain
Evolve the current prototype into a complete arbitrage & trading bot appchain: robust strategy lifecycle (creation, deployment, upgrade), multi-strategy trading, fees and rewards, risk guardrails, and richer monitoring for live strategies running on the private testnet. We will share the specs shortly in our documentation.
Indexing appchain on testnet with richer DeFi coverage & yield integration
Deploy the indexing appchain to the testnet and extend it beyond UniswapV2 to cover more DeFi primitives (DEXes, lending, LP positions, etc.). Integrate the indexing appchain tightly with the yield-farming appchain so strategies can consume onchain indexed data directly as a first-class input.
For Pelagos, the GTM focus is currently three items that we have been pushing internally.
First, we work with chains and foundations where we can ship concrete use cases that depict the advantages of Pelagos, with a preference for ecosystems that are hard to access today and where Pelagos’ cross-chain execution actually fixes something real.
Second, we are building our own AI-powered arbitrage and trading bot that looks for cross-chain arbitrage opportunities, and we have already been talking with a bunch of traders who want to run it. We combine Web2, Web3, and AI, unlocking trading, arbitrage (within Web2, within Web3, and between Web2 and Web3), intents, and strategy automation for all blockchain users, including advanced DeFi traders, quant teams, and power users, without being tied to a single platform: Ethereum, Base, Bitcoin, Solana, and any other networks. The traders will be able to build their own strategies using ChatGPT-style frontend and run those strategies. A user chats with LLM and creates a new strategy described in human-readable format of DSL (domain specific language). In addition, there will be a leaderboard for the strategies and based on the PnL and other metrics, users can decide to allocate their funds to those specific strategies.
Third, we are working with indexers to give them access to proper multichain data. Pelagos already sits in the middle, watching many chains, tracking their finality, and only committing a cross-chain flow when every leg is valid. That means Pelagos is already holding a version of reality that is cleaner than what indexers can reconstruct from raw RPCs. Pelagos puts applications’ and users’ indexers into the same process, eliminating any latency or inconsistencies. So instead of every indexer reinventing multichain logic, Pelagos can just hand it to them. We are in the midst of signing agreements with these partners and, as soon as they are signed, we will disclose the names.
On Liquid Markets, the following items have been worked on this month:
Stabilized the platform for different operations such as limit orders and market orders, where block production was previously stopped because of insufficient balance.
Fixed a major storage issue to decrease the storage of unnecessary metadata.
Built market-making and auto-trading bots that keep the order book filled and, at regular intervals, execute market/limit orders on either side.
Fixed charting APIs and the frontend.
Deployed Zealy endpoints for quests (launching a Zealy campaign with them).
Going forward, they will be integrating Hyperliquid APIs at the appchain level and building a mobile app for Liquid Markets, which will allow users to trade existing perps using cross-chain balances on Pelagos. For LayerCover, we will kick off Zealy campaigns upon completion of community activities on Liquid Markets.
This month started Liq Markets Alpha Campaign with $1200 in prizes for our Alpha testers, which will last four weeks. The aim of the campaign is to gather the feedback from the community on current UX, stress-test the platform and gather the information for improvements. In the first 4 days upon activation, Liq Markets handled over 9000 transactions so far.
On the Social Media side: We grew X following by ~23%, increasing total follower number to >1600 and Discord channel grew by ~23% making it total of 2100 members.
From the PR perspective, our Founding Engineer, Krishna, participated and has been a guest at ZyptoApp’s X Spaces talking about centralized platforms, and we organized Builder’s Spaces with Liq Markets to talk more about current status of the development and what’s coming next.
Content wise, we released four articles, expanding on possibilities and use-cases of Pelagos:
- True Risk-minimized Atomicity
- From Oracle-Centric to Chain-Centric: Pelagos’ Model for Data
- Pelagos as the Single Source of Truth for Indexers
November was about laying real infrastructure and lining it up with GTM. We shipped the TSS appchain baseline, per-appchain Block Explorers, Avail DA integration, the foundation for an AI-powered arbitrage and trading bot appchain, and SQL-based data access with a UniswapV2 indexer prototype. Next, we’re making the new signing flow fully testnet-ready, turning the arbitrage and trading bot into a full product (strategy lifecycle, fees, risk, monitoring), and rolling out a richer indexing appchain tightly integrated with yield strategies.
On GTM, we’re focusing on concrete use cases with chains/foundations, our own AI-powered arbitrage and trading bot for traders with a performance-based leaderboard, and indexer partnerships that plug into Pelagos’ cleaner multichain data. Liquid Markets stabilized core trading, reduced storage bloat, added MM/auto-trading bots, fixed charting, set up Zealy quests, and is now moving to Hyperliquid’s API integration, a mobile app, and LayerCover campaigns.
Growth continues started stong: Liq Markets Alpha Campaign with over 9000 transactions generated on Liq Markets during the first week. X and Discord grew ~23%. 3rd Builder’s Spaces was organized with Liq Markets. Four articles released expanding on possibilities and use-cases of Pelagos. Our Founding Engineer Krishna joined ZyptoApp’s Spaces talking about centralized platforms.
We implemented a basic threshold-signing (TSS) appchain architecture as the new baseline to remove single-signer bottlenecks and plug into the main transaction stack; shipped a default Block Explorer for all appchains that’s customizable (views, entities, UX) while staying consistent from local dev to production; completed Avail DA integration so low-latency appchains can use a centralized sequencer with Avail data availability and seamless multichain access; delivered the foundation for an AI-powered arbitrage and trading bot appchain where strategies are defined in a DSL that compiles to WASM and controls users’ wallet logic, enabling rich trading and solver-style strategies; and enabled SQL-based queries over block data with a prototype UniswapV2 indexer appchain that other appchains can consume as a data service for composable, queryable onchain analytics.
In December, we will take the new signing appchain flow from architectural baseline to a fully wired, testnet-ready component by integrating it into the cross-chain transaction flow on the private testnet, validating liveness and reliability of threshold signing, and ensuring end-to-end observability of signing operations; evolve the Pelagos AI-powered arbitrage and trading bot appchain from prototype to a full product with a robust strategy lifecycle (creation, deployment, upgrade), multi-strategy trading, fees and rewards, risk guardrails, and richer monitoring for live strategies on the private testnet; and deploy the indexing appchain to testnet, extending it beyond UniswapV2 to cover a wider range of DeFi primitives (DEXes, lending, LP positions, etc.) while tightly integrating it with the yield-farming appchain so strategies can consume indexed onchain data directly as a first-class input.
Pelagos is focused on three GTM pillars: shipping real cross-chain use cases with chains/foundations (especially hard-to-access ecosystems), building an in-house AI-powered arbitrage and trading bot using Web2/Web3/AI, and giving indexers clean multichain data directly from Pelagos instead of raw RPC hacks.
On Liquid Markets, we stabilized trading (orders, storage, bots, charts) and set up a Zealy campaign; next, they’ll integrate Hyperliquid’s API and launch a mobile app for cross-chain perp trading. We’ll kick off Zealy campaigns for LayerCover once Liquid’s community activities are done.
Launched the Liq Markets Alpha Campaign with over 9000 transactions generated on Liq Markets during the first week. Twitter grew ~23% (1300+ → 1600+). Discord grew ~23% (1700+ → 2100+). 3rd Builder’s Spaces was organized with Liq Markets. Four articles released expanding on the possibilities and use cases of Pelagos. Our Founding Engineer, Krishna joined ZyptoApp’s Spaces talking about centralized platforms.
TSS Appchain: The new architecture baseline
Implemented a basic version of the new threshold-signing (TSS) appchain architecture. This is the foundation for removing single-signer bottlenecks and will evolve into the new TSS appchain flow integrated into the main transaction stack.
Block Explorer for every appchain, from local to cluster
Shipped a Block Explorer that now runs by default in the local development environment for all appchains. Each appchain can customize its explorer (views, entities, UX) while keeping a consistent experience from laptop to production clusters.
Avail DA integration completed
Completed Avail DA integration so appchains that require minimal latency can leverage a centralized sequencer while simultaneously benefiting from Avail data availability and seamless access to multichain infrastructure.
AI-powered arbitrage and trading bot appchain foundation with DSL
Delivered a baseline implementation of the arbitrage & trading appchain. We have developed the flow, initial DSL specs, and first successful strategies. Formalized the DSL spec (EBNF) and a strongly-typed runtime module exposing 11 core primitives (sources, indices, triggers, batches, simulation, risk, etc.), enabling composition without touching WASM directly while keeping safety. On the platform, strategies can now be created via a DSL that compiles to WASM code controlling a user’s wallet management logic. This forms a strong base for trading use cases and custom solver-style strategies.
SQL-powered data access & UniswapV2 indexer appchain prototype
Enabled appchains to run SQL queries over block data, and built a prototype indexer appchain for UniswapV2 contracts. Any appchain can connect to this indexer chain and consume its onchain data as a service, unlocking composable, queryable onchain analytics.
New signing appchain flow: Testnet-ready & integrated
Take the new signing appchain flow from architectural baseline to a fully wired, testnet-ready component: integrate it into the cross-chain transaction flow on the private testnet, validate liveness and reliability of threshold signing, and ensure end-to-end observability for signing operations.
Full-featured Pelagos AI-powered arbitrage and trading bot appchain
Evolve the current prototype into a complete arbitrage & trading bot appchain: robust strategy lifecycle (creation, deployment, upgrade), multi-strategy trading, fees and rewards, risk guardrails, and richer monitoring for live strategies running on the private testnet. We will share the specs shortly in our documentation.
Indexing appchain on testnet with richer DeFi coverage & yield integration
Deploy the indexing appchain to the testnet and extend it beyond UniswapV2 to cover more DeFi primitives (DEXes, lending, LP positions, etc.). Integrate the indexing appchain tightly with the yield-farming appchain so strategies can consume onchain indexed data directly as a first-class input.
For Pelagos, the GTM focus is currently three items that we have been pushing internally.
First, we work with chains and foundations where we can ship concrete use cases that depict the advantages of Pelagos, with a preference for ecosystems that are hard to access today and where Pelagos’ cross-chain execution actually fixes something real.
Second, we are building our own AI-powered arbitrage and trading bot that looks for cross-chain arbitrage opportunities, and we have already been talking with a bunch of traders who want to run it. We combine Web2, Web3, and AI, unlocking trading, arbitrage (within Web2, within Web3, and between Web2 and Web3), intents, and strategy automation for all blockchain users, including advanced DeFi traders, quant teams, and power users, without being tied to a single platform: Ethereum, Base, Bitcoin, Solana, and any other networks. The traders will be able to build their own strategies using ChatGPT-style frontend and run those strategies. A user chats with LLM and creates a new strategy described in human-readable format of DSL (domain specific language). In addition, there will be a leaderboard for the strategies and based on the PnL and other metrics, users can decide to allocate their funds to those specific strategies.
Third, we are working with indexers to give them access to proper multichain data. Pelagos already sits in the middle, watching many chains, tracking their finality, and only committing a cross-chain flow when every leg is valid. That means Pelagos is already holding a version of reality that is cleaner than what indexers can reconstruct from raw RPCs. Pelagos puts applications’ and users’ indexers into the same process, eliminating any latency or inconsistencies. So instead of every indexer reinventing multichain logic, Pelagos can just hand it to them. We are in the midst of signing agreements with these partners and, as soon as they are signed, we will disclose the names.
On Liquid Markets, the following items have been worked on this month:
Stabilized the platform for different operations such as limit orders and market orders, where block production was previously stopped because of insufficient balance.
Fixed a major storage issue to decrease the storage of unnecessary metadata.
Built market-making and auto-trading bots that keep the order book filled and, at regular intervals, execute market/limit orders on either side.
Fixed charting APIs and the frontend.
Deployed Zealy endpoints for quests (launching a Zealy campaign with them).
Going forward, they will be integrating Hyperliquid APIs at the appchain level and building a mobile app for Liquid Markets, which will allow users to trade existing perps using cross-chain balances on Pelagos. For LayerCover, we will kick off Zealy campaigns upon completion of community activities on Liquid Markets.
This month started Liq Markets Alpha Campaign with $1200 in prizes for our Alpha testers, which will last four weeks. The aim of the campaign is to gather the feedback from the community on current UX, stress-test the platform and gather the information for improvements. In the first 4 days upon activation, Liq Markets handled over 9000 transactions so far.
On the Social Media side: We grew X following by ~23%, increasing total follower number to >1600 and Discord channel grew by ~23% making it total of 2100 members.
From the PR perspective, our Founding Engineer, Krishna, participated and has been a guest at ZyptoApp’s X Spaces talking about centralized platforms, and we organized Builder’s Spaces with Liq Markets to talk more about current status of the development and what’s coming next.
Content wise, we released four articles, expanding on possibilities and use-cases of Pelagos:
- True Risk-minimized Atomicity
- From Oracle-Centric to Chain-Centric: Pelagos’ Model for Data
- Pelagos as the Single Source of Truth for Indexers
November was about laying real infrastructure and lining it up with GTM. We shipped the TSS appchain baseline, per-appchain Block Explorers, Avail DA integration, the foundation for an AI-powered arbitrage and trading bot appchain, and SQL-based data access with a UniswapV2 indexer prototype. Next, we’re making the new signing flow fully testnet-ready, turning the arbitrage and trading bot into a full product (strategy lifecycle, fees, risk, monitoring), and rolling out a richer indexing appchain tightly integrated with yield strategies.
On GTM, we’re focusing on concrete use cases with chains/foundations, our own AI-powered arbitrage and trading bot for traders with a performance-based leaderboard, and indexer partnerships that plug into Pelagos’ cleaner multichain data. Liquid Markets stabilized core trading, reduced storage bloat, added MM/auto-trading bots, fixed charting, set up Zealy quests, and is now moving to Hyperliquid’s API integration, a mobile app, and LayerCover campaigns.
Growth continues started stong: Liq Markets Alpha Campaign with over 9000 transactions generated on Liq Markets during the first week. X and Discord grew ~23%. 3rd Builder’s Spaces was organized with Liq Markets. Four articles released expanding on possibilities and use-cases of Pelagos. Our Founding Engineer Krishna joined ZyptoApp’s Spaces talking about centralized platforms.
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