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Building in public
The Ecosystem
24 apps. One developer.
Every app built in public and battle-tested in production. Real stack, real users.
Directory210+ models
AI Model Directory
Compare 210+ models on speed, cost, and capability. Real benchmarks, no hype.
Open app ↗SaaSAgents
Overnight Agents
Spec out AI agents, run them overnight, wake up to a verified GitHub repo.
Open app ↗SaaSPopular
Fit
Log workouts and habits in plain English. Progress as a GitHub-style heatmap.
Open app ↗SaaSAI-native
DD Canvas
Describe what you want and get a working app in minutes.
Open app ↗CLI50+ tools
CLI Tools
50+ command-line tools for AI-first development. One install script.
Open app ↗ToolDesktop
Agent Hub
One control panel for Claude Code, Codex, Gemini, Cursor, and 10+ harnesses.
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The Blog
Read all postsWhat we are building
Context Engineering
The 98% Context Reduction Pattern
Efficient agents do not stuff every tool result into the model context. They keep intermediate state in code, files, and execution environments, then return compact summaries and receipts.
/8 min read
AI Coding
Agent Swarms Need Receipts
GitHub is filling with multi-agent frameworks, skills, and coding harnesses. The useful lesson is not that every team needs a swarm. It is that every agent needs receipts: tests, logs, diffs, and reviewable checkpoints.
/8 min read
AI Search
Agentic Search Works Best When It Writes Queries, Not Answers
SNEWPAPERS is a useful Show HN signal: the strongest agentic search products do not replace search results with prose. They teach the agent to operate a real search system.
/8 min read
AI Agents
Approval Fatigue Is an Agent Security Bug
Manual approval prompts stop protecting users when coding agents ask too often. The better pattern is risk-aware autonomy: safe defaults, narrow deny rules, and approvals only for meaningful changes.
/7 min read
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