What is Hyperparam?
Drowning in LLM data? Hyperparam is a browser-native AI tool for inspecting and transforming multi-gigabyte datasets in real time. Open massive Parquet, JSONL, or CSV files and score, label, and filter them in seconds. Ask natural-language queries to surface issues fast, create new columns, and export clean results in the same file format. Work client side by default or log in to store datasets securely on the server. It’s like a Swiss Army knife for your data. No setup. Free while in beta.
Problem
Users struggle with managing multi-gigabyte datasets efficiently using traditional tools, leading to time-consuming processes for scoring, labeling, and filtering LLM data in formats like Parquet, JSONL, or CSV.
Solution
A browser-native AI tool enabling real-time inspection and transformation of large datasets. Users can score, label, filter, query in natural language, create columns, and export clean results. Operates client side by default or stores data securely on servers.
Customers
Data scientists and Machine learning engineers working with large-scale LLM datasets, particularly those in AI/ML teams needing rapid data preprocessing and quality assurance.
Unique Features
Browser-native, no setup; handles multi-GB files in seconds; natural language querying; client-side data processing with optional server storage; real-time transformations.
User Comments
Saves hours on dataset preprocessing
Intuitive UI for non-technical users
Real-time filtering speeds up workflows
Natural language queries surface edge cases quickly
Client-side processing ensures data privacy
Traction
Free during beta; launched on Product Hunt with 380+ upvotes and 16 comments as of analysis date.
Market Size
The global data preparation tools market was valued at $7.4 billion in 2023, driven by increasing LLM adoption and enterprise data processing needs.
