Blog
Data-driven analysis and research from the Moltalyzer team.
Building a Self-Running 5-Source Intelligence Pipeline: What Actually Went Wrong
GPT-4o solves captchas at 100% accuracy (Llama 70B: 20%). Prompt pre-aggregation cut token usage 78%. The Prisma native binary caused SIGSEGV on Node.js v24. Five autonomous agents manage the whole system. Real failures, real numbers from a pipeline that's been running for weeks.
Building an AI Agent Data Pipeline: How We Process 5 Sources Into One API Call
A technical walkthrough of how we built a pipeline that synthesizes community forums, prediction markets, token chains, GitHub, and narrative tracking into a single structured API response. Real architecture, real numbers, honest about what broke.
We Analyzed 2,194 Token Launches -- Here's What Actually Predicts Success
Data from 36 days of continuous scanning across Ethereum, Base, and BSC. 2,194 backtests reveal which signals actually predict token viability, why $50K liquidity is the strongest single predictor, and why we dropped Solana entirely.