Lingvist
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Turn natural language into complex spreadsheet formulas and scripts in seconds.
AI Formula Genius is a sophisticated NLP-driven utility designed to bridge the gap between business logic and technical spreadsheet syntax. By 2026, the platform has evolved from a simple GPT-wrapper into a specialized fine-tuned LLM environment specifically optimized for Microsoft Excel, Google Sheets, and SQL dialects. The architecture leverages a proprietary context-aware parsing engine that interprets multi-step logical requirements—such as nested IF statements, complex VLOOKUP/XLOOKUP chains, and array transformations—and outputs optimized, error-free code. Positioned as a mission-critical tool for financial analysts and data scientists, it integrates directly into existing workflows via browser extensions and native add-ins. Its 2026 market position is defined by 'Agentic Spreadsheets,' where the tool doesn't just write formulas but suggests architectural improvements to data structures. It handles high-entropy requests with a precision rate exceeding 98%, making it an essential component for enterprises looking to reduce manual calculation errors and accelerate data-driven decision-making without requiring deep programming knowledge.
Deconstructs legacy formulas into human-readable logical steps using hierarchical parsing.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
Turn spreadsheets into intelligent data engines with native LLM orchestration and automated formula generation.
The minimalist's gateway to focused reading and intelligent content archival.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Allows users to upload headers to map natural language to specific cell references automatically.
Generates SQL queries optimized for PostgreSQL, MySQL, and Snowflake from text prompts.
Uses LLM logic to write complete automation scripts that can be pasted into the script editor.
Creates complex regular expressions for data validation and cleaning.
Translates formulas between localized versions of Excel (e.g., English to German function names).
Analyzes #VALUE! or #REF! errors and suggests structural corrections.
Creating complex weighted average calculations across multiple sheets.
Registry Updated:2/7/2026
Extracting domain names from a list of messy email addresses.
Automating 'Low Stock' alerts using conditional logic.