Failure Archive

Research-Grade Failure Knowledge Repository

A structured platform for documenting failed projects, research, and ideas. Treat failures as invalidated assumptions, not personal shortcomings.

Open
CC0 + MIT
6 Types
Failure Records
AI-Powered
Analysis

Core Philosophy

What makes this different

🚫

NOT a Social Network

No likes, comments, followers, trending pages, or engagement metrics. Pure knowledge sharing.

📊

Structured Knowledge

Every submission follows a rigorous format: hypothesis, method, failure point, key misunderstanding.

🔓

Open by Default

All content shared under CC0 (text) and MIT (code). Knowledge accessible to everyone.

Failure Record Types

Document different kinds of failures

💻

Technical Project

Failed implementations with repos, architecture, and invalidated assumptions.

📄

Research Paper

Negative or null results that didn't warrant publication but offer insights.

💡

Research Idea

Pre-mortem analysis of why an idea is unlikely to work today.

💼

Business Idea

Failed market assumptions: size, behavior, distribution, cost, or timing.

🚀

Future Tech Idea

Visions blocked by current technology limitations.

🤖

AI Project

ML models that failed to generalize or scale as expected.

Key Features

Built for serious researchers and builders

🎭

Anonymous Submission

Submit anonymously, pseudonymously, or with delayed attribution (30/90/180 days).

♻️

Reuse System

Mark failures as reused or avoided. Track how your failures help others.

🔮

Pre-Mortem Tool

Input your idea and get related failures, common patterns, and risk assessment.

🧠

AI Knowledge Extraction

Automatic tagging, hypothesis normalization, and similar failure detection powered by Perplexity.

Start Contributing Today

Your failures are valuable. Share them to help others avoid the same mistakes.

Submit Your First Failure