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Hacker Afternoon Tea

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Hacker Afternoon Tea
Hacker Afternoon Tea
Jun 20, 2026 · Artificial Intelligence

How Multica Turns 2 People and 10 Agents into the Output of a 20‑Person Team

Multica treats AI agents as colleagues rather than tools, running them on users' machines while the server only stores data, queues tasks, and broadcasts events, and uses a four‑layer frontend, dual data streams, and a set of core modules to let a small team manage dozens of agents with real‑time visibility and measurable productivity.

AI AgentsGo backendNext.js
0 likes · 12 min read
How Multica Turns 2 People and 10 Agents into the Output of a 20‑Person Team
Hacker Afternoon Tea
Hacker Afternoon Tea
Jun 20, 2026 · Backend Development

How Multica Unifies 13 AI Coding Tools Behind a Single Backend Interface

Multica integrates thirteen disparate AI coding tools—Claude Code, Codex, Cursor, Copilot, Gemini, Hermes, Kimi, Kiro, OpenCode, OpenClaw, Pi, Antigravity, and CodeBuddy—by defining a single Go Backend interface, sinking differences into per‑tool adapters and an ExecOptions struct, while preserving graceful degradation and a capability matrix for product decisions.

AI coding toolsGoadapter pattern
0 likes · 9 min read
How Multica Unifies 13 AI Coding Tools Behind a Single Backend Interface
Hacker Afternoon Tea
Hacker Afternoon Tea
Jun 20, 2026 · Backend Development

How Multica Locates Your Agent’s Machine: The Runtime and Daemon Deep Dive

The article explains Multica's counter‑intuitive design where tasks assigned to Claude Code actually run on a local MacBook, detailing the runtime concept, daemon registration, heartbeat‑based liveness, and the poisoned mechanism that together let the server reliably discover and manage agents across machines.

AI toolingMulticadaemon
0 likes · 9 min read
How Multica Locates Your Agent’s Machine: The Runtime and Daemon Deep Dive
Hacker Afternoon Tea
Hacker Afternoon Tea
Sep 3, 2024 · Big Data

Quickwit Docs Go Live: Rust‑Built Distributed Search Engine for Sub‑Second Queries on Object Storage

Quickwit is a Rust‑based distributed search engine that enables sub‑second queries directly on cloud object storage, and its documentation details the architecture, core concepts, installation, data ingestion, log management, tracing, deployment options, configuration, and operational best practices.

Distributed SearchKubernetesLog Analytics
0 likes · 4 min read
Quickwit Docs Go Live: Rust‑Built Distributed Search Engine for Sub‑Second Queries on Object Storage
Hacker Afternoon Tea
Hacker Afternoon Tea
Aug 16, 2024 · Backend Development

Building a Fast Real‑Time Streaming Platform with Kafka and ClickHouse

This guide walks through the challenges of ingesting high‑volume sales‑point data into ClickHouse, explains why a buffering layer like Kafka is essential, compares three integration approaches—ClickHouse Kafka engine, Kafka Connect, and an external writer—and provides concrete SQL and Terraform examples to help you choose the right solution.

ClickHouseExternal writerKafka
0 likes · 13 min read
Building a Fast Real‑Time Streaming Platform with Kafka and ClickHouse
Hacker Afternoon Tea
Hacker Afternoon Tea
Aug 15, 2024 · Artificial Intelligence

Open-Source Binance AI Trading Bot: ML & Feature Engineering for Automated Crypto Signals

This article details an open‑source Binance trading bot that uses machine‑learning models and extensive feature‑engineering pipelines to generate and broadcast automated cryptocurrency buy‑sell signals via a Telegram channel, covering data acquisition, offline training, hyper‑parameter tuning, and live service deployment.

BinanceMachine LearningPython
0 likes · 18 min read
Open-Source Binance AI Trading Bot: ML & Feature Engineering for Automated Crypto Signals