brainful
Integrated Thinking EnvironmentAn integrated thinking environment — where writing, research, and discussion live together. 75+ orchestrated AI models, 114 languages, millions of monthly requests.
300k+ loc
3M+ req/mo
I'm a Computer Science undergrad based in the UK. A full-stack engineer specialising in backend, infrastructure, security, and AI/ML. I work across AI, finance, and developer tools, underpinned by my interdisciplinary interests in philosophy, psychology, and economics.
a23one is a 23-product, one-network system built to compound. With initial grants from Google Cloud and Cloudflare, work began in '23; building product that builds product. The guiding belief is that demand for product will scale with the ability to produce said product. It operates across three vectors: foundational plumbing, referential services, and categorical sovereignty. Two hallmark consumer applications have emerged along the way: brainful, which expands the capacity to learn and do, and tidalsight, which produces high-performance financial portfolios generating outsized returns.
An integrated thinking environment — where writing, research, and discussion live together. 75+ orchestrated AI models, 114 languages, millions of monthly requests.
With growing concerns of exposing sensitive data to third-party services, llmshield is a context-preserving open-source Python library for preventing PII leakage in AI applications.
Spun out of brainful's AI layer to meet growing demand for robust and fault-tolerant AI infrastructure. A single OpenAI-compatible API endpoint routing to dozens of LLM providers and endpoints.
Regular embeddings have limitations in security, privacy, and retrieval accuracy. polyembed aims to tackle all three through local inference, homomorphic embeddings, and systematic context injection for higher-accuracy retrieval.
Bot traffic now dwarfs human traffic across most of the web. honeypaste deploys layered traps and adversarial fingerprinting that block bots at 99.9% efficacy — and pushes back against sophisticated human-driven attacks.
ML has been a traditionally gatekept field. mlpotion aims to democratise ML models by providing no-code end-to-end ML pipelines as a service. This allows you to distil AI or proprietary data into lightweight prediction models that are exposed as APIs or downloadable models.
As agentic development accelerates the volume of code shipped across a23one, the burden of release notes, documentation, and roadmap planning grows with it. releasetape automates all three — one-click setup per repository, continuous output.
Cross-product link intelligence and attribution. Every link across an organisation's network becomes a first-party data point. From tracking user journeys to understanding feature heatmaps, oburai helps teams and orgs make data-driven decisions for product.
Prompt to production. In response to a growing necessity for idea and feasibility validation, spawnpod builds product using the agent-first a23stack tailored for high-velocity and production-grade prototyping — from GitHub repo to live deployment previews.
A desktop browser for the user who lives on the web. Tabs nest as a tree — branches collapse, children hibernate — and AI tools ship behind explicit shortcuts: Cmd+Shift+O organizes the tree, Cmd+Shift+R runs an ephemeral research agent. Native macOS, Windows, Linux with full Chrome extension support.
Grafted AI for complex software. Config as code in a single Python file — the chat loop, memory, streaming, and observability run on agentgraft, while tools and actions execute inside the host application via signed webhooks. Drop in a script tag, expose your functions, ship intelligent agents in hours.
Securities analytics, insights, and ratings platform. Multi-agent AI continuously analyses fundamentals, social sentiment, and macro signals across equities, crypto, commodities, and currencies — delivering conviction-rated trading intelligence with integrated algorithmic execution.