FinTech AI Lab
Finance tools and AI experiments by Rahul Ray
Rahul Ray is a finance professional and vibe coder focused on applying AI to finance. Connect on LinkedIn.
Tools
Data Analyzer
Perform data analysis using advanced machine learning techniques
Earnings Transcript Analyzer
Generate summary and line-by-line sentiment analysis of documents (e.g., speeches, earnings calls)
ERFinData
Extract raw financial data from earnings press releases
KPIx
Perform slide-by-slide analysis and executive summary of a slide deck or KPI report
Macro AI Summary
AI-generated summaries of charts in an multi-sheet excel file
Model Analysis
Drill-down analysis of live excel financial models
Q&A Assistant
Query an unlimited set of pdf files, exhaustively or RAG-based
Speech Writer
Train on a speaker style. Then create speeches in that style just from bullet points
ThinkTank-AI
Create virtual panels or focus groups using AI agents
Open Source
chat-TRM
Experimental Tiny Recursion Model (TRM) Chat App with only 3.5M parameters
file-repo
Lightweight file repository utility for organizing and managing local file collections
pdf-files-concatinate
Batch-concatenate multiple PDF files into a single document in a specified order
image-files-summary
Generate AI-powered summaries of image files in a directory
split-mp4
Split a large MP4 file into n equal-length segments
oracle-arc-solver
Solver for ARC (Abstraction and Reasoning Corpus) puzzles using oracle-guided search
Writing
Building an ARC-AGI-2 Solver (Part 1)
How a multi-agent Socratic debate architecture was designed to tackle ARC-AGI-2 reasoning puzzles, with agents questioning and challenging each other's solutions.
Building an ARC-AGI-2 Solver (Part 2)
ARC-AGI-2 reveals LLM perception gaps: why vision models struggle to count holes—and how text, high-res images, and reflection improve results
Building an ARC-AGI-2 Solver (Part 3)
Building an ARC-2 solver: from multi-agent debate to a tool-augmented Oracle achieving 50–70%+ on the public evaluation dataset.