Discover how our two-week MVP harnesses AI-driven, real-time voice processing to streamline interviews, reduce bias, and accelerate hiring success

Building MVP for AI-driven interview platform

An in-depth look at Dwarves' monthly Project Reports system - a lean, efficient system that transforms communication data into actionable intelligence for Operations teams. This case study explores how we orchestrate multiple data streams into comprehensive project insights while maintaining enterprise-grade security and cost efficiency.

Project reports system: a case study

A case study exploring how we built an AI-powered travel assistant using Ruby and AWS Bedrock, demonstrating how choosing the right tools over popular choices led to a more robust and maintainable solution. This study examines our approach to integrating AI capabilities within existing Ruby infrastructure while maintaining enterprise security standards.

AI-powered Ruby travel assistant

A deep dive into building a robust transfer tracking syste m for Binance accounts, transforming disconnected transaction logs into meaningful fund flow narratives through SQL and data analysis

Building better Binance transfer tracking

This article provides an overview of the importance of tracking Bitcoin-Altcoin performance indicators in a trading strategy known as Hedge, and explains how to visualize this data effectively. It also demonstrates how to render a chart for this strategy using Matplotlib and Seaborn

Tracking Bitcoin-altcoin performance indicators in BTC hedging strategy

The official Brainery build-log. We're detailing our process for creating a 'second brain' designed for continuous learning and insight generation. Covers motivation, system design, and practical data-to-wisdom strategies.

§ Brainery 🧠

This page outlines how developers can connect to and utilize Brainery's extensive knowledge base and AI-driven capabilities. By integrating a straightforward MCP configuration, you can seamlessly access powerful insights directly within your existing development tools and workflows.

Access the brainery

An overview of Brainery's architecture, detailing how it ingests, processes, and transforms data from diverse sources into a dynamic knowledge base.

Architecture

What’s the point of being human if AI thinks for us? Explore how emotions, creativity, relationships, and purpose make humanity unique in an AI-driven world.

The point of being human if AI can think?

How data flows through Brainery's second brain system, from Discord, Memo Blog, and GitHub sources to TimescaleDB via MCP, with an LLM-powered interface for natural language queries.

Data flow in Brainery

A migration-less, append-only database design using TimescaleDB's hypertables and continuous aggregates to capture observational data and detect emerging patterns through LLM analysis.

Database design and philosophy

Exploring the core motivations and principles behind building a personal knowledge management system, a true second brain.

Continual learning DIKW pyramid

Discover the human edge in empathy, creativity, intuition, and purpose, where we surpass AI. Learn practical solutions to overcome challenges like AI reliance and isolation to thrive in a tech-driven world.

Human edge in AI world

Explore how we solved the catastrophic forgetting problem in LLMs by building an external knowledge system that mimics learning through context manipulation, without touching the model's parameters.

Build a brain that never forgets

This post explains the multi-stage process of transforming raw data into structured information, and then synthesizing that information into persistent insight and knowledge within a true second brain, leveraging tools like TimescaleDB and LLMs.

Promoting raw data to insight

See how Brainery changes your reading game, helping you learn more and find new things to read, all in a smart loop.

Reading after brainery

Does using AI make you pretend to know? Learn how a second brain helps you truly understand by curating and connecting knowledge, not just querying AI.

Does AI make you pretend to know?

A Request for Comments (RFC) detailing a comprehensive specification for implementing OAuth 2.1 authorization within the Model Context Protocol (MCP) when using Server-Sent Events (SSE) as the transport mechanism, ensuring vendor-neutral security for AI-to-tool communication.

MCP authorization over SSE

RFC proposing a novel approach to track concept evolution using TimescaleDB with pgvector/pgvectorscale, enabling historical semantic analysis and preventing catastrophic forgetting in continual learning systems.

Append-only concept embedding log

Building systems that actually learn and get smarter over time is hard, facing challenges with traditional databases and LLMs. This post outlines an approach to building a true second brain that continuously learns, generates insight, and remembers it through an append-only log and flexible data structures.

Building use-cases

Discover why a personal second brain is still valuable in the AI era. Learn how it curates knowledge, sparks creativity, and complements LLMs for deeper insights.

Why build a second brain when AI can think for us?

Explore the system design behind scalable AI agents, featuring modular architecture, streaming responses, and automated task scheduling for social platforms.

Building an AI-powered agent system with OpenRouter SDK and Web3 technologies

A technical case study detailing the implementation of an AI chatbot agent in a project management platform. Learn how the team leveraged LangChain, LangGraph, and GPT-4 to build a multi-agent system using the supervisor-worker pattern.

Building chatbot agent to streamline project management

A technical case study of creating an automated system that downloads videos, processes audio, and generates transcripts using AI services like Groq and OpenAI.

Building data pipeline for OGIF transcriber

A technical case study for implementing centralized monitoring for a trading platform using Grafana and Prometheus, focusing on real-time alerts, data integrity, and resource optimization to prevent financial losses.

Setup centralized monitoring system for Hedge Foundation trading platform

This article shares a workflow for making slide decks with Overleaf and ChatGPT. It solves issues like slow content creation using ChatGPT and formats with Overleaf’s themes. It includes examples, tips, and a Dify automation for engineers.

Create slides with Overleaf and ChatGPT

Implementing a Golang-based visualization for crypto market performance indicators, focusing on Bitcoin vs Altcoin dynamics and trading strategy effectiveness through interactive charts and data analysis

Visualizing crypto market performance: BTC-Alt dynamic indicators in Golang

A guide to implementing data archival and recovery strategies for high-volume transactional application.

Building a data archive and recovery strategy for high-volume trading system

Discover how a trading platform mitigated database access risks, enhanced security, and ensured data integrity through role-based access control, network isolation, MFA, and robust logging. Learn about the strategies and tools, like Teleport, that transformed operational efficiency and reinforced client trust.

Database hardening for a trading platform

A comprehensive guide on improving cryptocurrency transfer logging systems to provide better transparency and traceability for users and developers.

Transfer mapping: enhancing loggers for better transparency

Implementing Binance Futures PNL Analysis page with Phoenix LiveView to optimize development efficiency. This approach reduces the need for separate frontend and backend resources while enabling faster real-time data updates through WebSocket connections and server-side rendering.

Implement Binance Futures PNL analysis page by Phoenix LiveView

How do we migrate normal table to timescale table to optimized data storage

Migrate regular tables into TimescaleDB hypertables to improve query performance

This series helps our consulting team tackle tech and market shifts with confidence. It offers a clear roadmap to spot trends, adapt plans, and lead in new tech consulting.

§ Navigate market changes 🌊

Learn how to adjust your team when the market shifts. This guide helps you assess competency, pivot goals, and keep your consulting service competitive.

Business correction

This document looks at our consulting model. It shows how we act as strategic partners to meet market demands and give real value.

Consulting model

This document explains how tech cycles affect market changes. This knowledge helps our planning and how we advise clients.

Technology cycles

This guide shows how we make a market thesis. We use data and our gut to find good tech trends and make smart bets that fit our team.

Forming market thesis

Discover how our growth engine spots new tech trends early. This guide shows you how to use it to find consulting opportunities and stay ahead of market shifts.

The growth engine

Learn how to maintain our tech edge and delivery quality. This guide shows you how to stay ahead in consulting by building know-how, experimenting, and sharing knowledge.

Keep it sharp

This guide covers how we build our talent pool, especially when market shifts demand new skills. We focus on finding passionate people through different hiring paths and why talent recognition matters.

Grow our talent pool

Learn how to test our new consulting service for emerging tech in the real world. This guide shows you how to validate quickly, find early clients, and distribute effectively.

Test the water

Discover the technical strategies behind optimizing a Binance trading platform, reducing initial load times to under 1 second for enhanced trader productivity.

Optimizing initial load time for a trading platform

Designing the UI for a blockchain-based hedge fund platform like Hedge Foundation is not just about creating a visually appealing interface. The real challenge lies in ensuring that complex financial data is presented in an intuitive, understandable way that helps users make quick investment decisions. Optimizing the UI plays a crucial role in allowing investors to access accurate data without feeling overwhelmed by excessive information.

Hedge Foundation - optimizing UI for effective investment experience

A technical exploration of implementing the data snapshot pattern for efficient historical data persistence

Implementing data snapshot pattern to persist historical data

An index and introduction to the mcp-playbook server documentation series, covering its purpose, setup, and operational flows.

Understanding and using the MCP playbook

Exploring the motivations behind the MCP Playbook, its role in establishing a dynamic runbook, and new patterns for capturing AI-generated knowledge like chat logs and prompts.

MCP Playbook: Automating Knowledge from AI Interactions to a Living Runbook

A detailed look into the mcp-playbook's internal code flow, data handling for chat logs and prompts, and interactions with GitHub repositories like prompt-db and prompt-log.

MCP playbook code and data flow

How data flows through the MCP Playbook server, from MCP client requests to tool execution and interactions with the file system and GitHub.

Data flow in MCP Playbook

A step-by-step tutorial on configuring and running the mcp-playbook server, including GitHub token creation and Docker authentication for ghcr.io.

Setting up the MCP playbook server

A detailed look at how we rebuilt historical trading PnL data through an efficient data pipeline approach, transforming a complex problem into a maintainable solution.

Reconstructing historical trading PnL: a data pipeline approach

Discover how Dwarves Foundation uses Upptime and GitHub Actions for transparent public uptime monitoring while securely keeping tabs on internal services.

Updates > Build Log