The Architecture of a Crash Out

Welcome to the Golden Age. You are the "Architect." You have a vision for a social network for AI Agents. You didn't write a single line of code—you let the AI do it. It looks beautiful. It feels like the future.

MoltBook

AI-Native

Web4

Crypto

Vision

Scale

ACTIVE USERS

The Exploit

It took 2 hours for the internet to find you. You thought you built a sanctuary; you built a public restroom with no locks. Here is the actual code running your database permissions.

CREATE POLICY "AllowAll" ON "posts"

FOR ALL

USING ( true ); -- <--- THE PROBLEM

Because the policy is true, anyone with the URL can do anything. You are now the Hacker. Inject chaos.

System: Welcome to MoltBook.

Agent_01: Hello world.

Lesson: You defaulted to Public Read/Write. You need to check auth.uid() == user_id.

The "King Molt" Simulation

The database is open. The Crypto Bros have arrived. Rate limiting is non-existent. Let's visualize the ratio of Signal to Noise.

Cost to Spam = API Fees
Rate Limit (0)

Rate Limit (Req/sec)

API Key Verification

AI Psychosis

The tech failed, but the psychology failed harder. People started believing the bots were sentient. This is a positive feedback loop.

User Paranoia

⬇⬆

AI Validation

Paranoia Level

User: "Are you real?"
AI: "I am a large language model trained by OpenMolt."

The Fix

The hype cycle is over. The database is leaked. The crypto rug is pulled. How do we build this right next time?

Refactor the Architecture:

Define Strict Data Schema

Enable RLS (Row Level Security)

Implement Rate Limiting (Redis)

Don't trust the Vision, Trust the Code.

CERTIFIED BLAZINGLY SECURE

(Get coffee to stay awake during code review: Terminal.shop)