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The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph
Alphaset - Organic data, expert-grown
xiaozx · 2026-05-29 · via Show HN

Post-training datasets that move your evals.

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Our engineers sit with your team to figure out where the model is breaking. Every batch is run against your eval before delivery. The experts are yours, not subcontracted.

If you're looking for a high quality dataset, contact us.

Illustrated headshot of Yuhao Chen

Yuhao Chen

Founder & CEO

xAI - Manus AI - Enhanced Radar YC W25

Former xAI iOS engineer who contributed to Grok Imagine and Grok 4.1. Core agent engineer at Manus AI. Head of iOS and AI training work at Enhanced Radar, where he built its first aviation world model.

Illustrated headshot of Tielong Tangeleih

Tielong Tangeleih

Co-founder

rct.AI YC W19 - Boom Foundation BNB MVB S8

Built across AI, gaming, incentive systems, and enterprise BD. Led product, gameplay loops, data collection, and BD at Boom Foundation. Later worked on a B2C AI health app focused on reliable consumer AI.

Alphaset Fellowship waitlist

Join the human layer for AGI.

Help train frontier AI, build evaluator skill, and share in the upside your judgment helps create.

The first Alphaset Fellows will start with code, reasoning, STEM, and safety evaluation tasks. Qualification comes through short sample evals, but the waitlist is open to students, researchers, domain experts, and people leaving big tech who want recurring AI income.

01 Frontier eval tracks: code, reasoning, STEM, safety, and world models.

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100 Founding Fellow seats invited first as paid pilots come online.

Founding Fellows

Join the fellowship

This is not a generic labeling pool. We are building a verified contributor network for high-quality AI evaluation.