Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
5,018 documents
This article frames Nvidia's investment outlook around the relationship between rapid AI-driven growth and the risk that expectations already reflect unusually strong performance. It reviews reported fiscal fourth-quarter revenue, data center and gaming…
The document describes Bitget GetAgent Playbook as a workflow for turning trading ideas into strategies with defined market conditions, signals, entry triggers, risk settings, exits, and stop conditions. Users can start from an existing template or describe…
The document describes Lumoz as a decentralized compute network for deploying rollups and supplying computation for AI workloads. It outlines modular blockchain layers for settlement, execution, consensus, and data availability, with a prover layer for…
The document describes Talus as a blockchain infrastructure project for AI agents that can hold assets, run workflows, and interact with decentralized applications. Its stated architecture combines a Cosmos-based Layer 1, MoveVM execution, IBC cross-chain…
Audiera is presented as a Web3 extension of a dance-game franchise, combining rhythm challenges with social spaces, AI music creation, AI characters, and blockchain based digital ownership. Players compete through timed routines using avatars, with mobile…
This company overview explains AppLovin’s shift from mobile gaming toward advertising software and describes how its products connect ad demand, publisher inventory, attribution, and connected television. It presents AXON 2.0 as a reinforcement learning…
The article describes Chappyz, a Web3 community platform that uses AI to assess engagement, sort discussions by topic and sentiment, and reward contributions. It presents the project’s goal as shifting attention from community size toward participation…
The document compares Ethereum and Solana as smart-contract platforms across consensus design, transaction throughput and costs, application ecosystems, security, decentralization, and investment considerations. It describes Ethereum’s longer history and…
This overview describes Dark Eclipse, a Solana-based project that proposes using Trusted Execution Environments (TEEs) for confidential computation in decentralized applications. TEEs are isolated processor environments intended to protect code and data from…
This document presents a brief market snapshot of AI-linked crypto tokens during March 2026. Its table lists monthly performance, approximate market capitalizations in early April, and a proposed catalyst for five projects: Bittensor, Render, the ASI…
The article considers reports that NVIDIA may introduce an inference chip centered on on-chip SRAM, and explains why this could matter to AI hardware and memory stocks. It contrasts SRAM’s speed and low latency with its lower density and higher cost per bit…
The document describes Recall as a decentralized system for ranking and verifying AI agents. Its proposed AgentRank combines competition results with community staking signals, while smart-contract tournaments record agent performance on-chain. Users can…
The article links Broadcom’s stock rally to Google’s progress in AI and their longstanding collaboration on custom Tensor Processing Units. It argues that stronger Gemini models could increase demand for Google-designed chips, potentially benefiting Broadcom…
The article attributes Sapien’s price surge to exchange exposure, an airdrop, listing speculation, and interest in decentralized AI data. It describes the project as a marketplace for sourcing and checking training data, with a Proof of Quality mechanism:…
The article explains Boundless as a blockchain-agnostic protocol for requesting and verifying computations through zero-knowledge proofs. Developers submit jobs to an open prover marketplace, where node operators bid for work; selected provers run…
The document explains fully homomorphic encryption (FHE), a cryptographic approach that allows computations on encrypted data without first exposing its contents. It presents Mind Network as a project applying FHE to privacy-focused blockchain, decentralized…
The article describes a workflow feature that packages trading ideas into configurable automated strategies. Users can browse playbooks, inspect their market assumptions and triggers, adjust selected settings, and run them through an isolated sub-account. A…
The article frames the AI semiconductor trade as a debate over whether revenue and productivity gains can justify the large capital spending on data centers and computing infrastructure. The bullish case points to reported Nvidia revenue growth, rising…
The document describes Venice AI as a service for generating text, code, and images with open-source models. It presents the platform as privacy-focused, claiming that prompts and user data remain on a user’s device rather than being stored centrally. The…
The article describes BUILDon as a BNB Chain project focused on developing uses and liquidity for the USD1 stablecoin. It presents an agent-to-agent investment platform that is intended to analyze on-chain data and generate strategies, while noting that…
The article presents DGrid AI as a decentralized infrastructure layer connecting users and developers to AI models, agents, and distributed computing nodes. Requests pass through a common gateway, where smart routing is intended to select services based on…
The article describes Numerai’s approach to equity trading: data scientists submit machine-learning forecasts in weekly tournaments, stake Numeraire (NMR) behind their predictions, and can earn rewards or lose part of their stake based on performance.…
The document describes PublicAI, a blockchain-based network for collecting and validating data used in AI training. Contributors perform tasks across text, image, audio, video, and mapping data; work may be pre-labeled by AI and then refined or checked by…
The article describes Paal AI as a crypto research and trading ecosystem, presenting PaalX as a natural-language trading assistant and MyPaal as a research tool for social and on-chain signals. It also outlines possible PAAL token utilities and explains how…