Hyperparam

Hyperparam

The Swiss Army knife for your AI data

3 followers

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.
Hyperparam gallery image
Hyperparam gallery image
Hyperparam gallery image
Free
Launch Team
OS Ninja
OS Ninja
Explore and Learn Open Source using AI
Promoted

What do you think? …

Kenny Daniel
Maker
📌
Hi Product Hunt! The entire lifecycle of AI is massive data in and even more data out, and traditional tools weren’t designed to handle this volume. AI teams are often so overwhelmed by the tons and tons of chat logs that keep piling up that they never actually do anything with all that data. I’ve been there myself: a year ago, every tool I tried for viewing real-world sized datasets choked. So I built Hyperparam as the AI data tool I wished I had. Hyperparam is a browser-native AI tool for exploring, scoring, and transforming massive datasets in real time. Simply drag and drop multi-gigabyte Parquet, JSONL, or CSV files into the app and see them instantly. Use the chat to ask the AI agent to score, label, categorize, and filter 100K+ rows. Create a new column. Create 10 new columns. Tweak prompts and see the responses for different AI models. Then when you’re happy with your dataset, simply export it in the file format of your choice. 👀 Render 100K+ rows instantly. 💬 Work with your data via the chat. No SQL required. 🔒Default setting offers browser-native security. ☁️ Login with Google to upload your data securely. 📁 Export your dataset V2 in Parquet, JSONL, or CSV so you can continue your workflow. Here are just a few of the ways you can use Hyperparam: Use natural language for dataset discovery. Search via chat, open results instantly, and explore files with full metadata and table previews. Use data quality filtering to generate sycophancy scores, filter low-quality responses, and export a cleaned dataset for training. Categorize prompts using chat-assisted transformations. Create a new categorical column, review patterns, and export the results. Use the patient data extraction workflow to parse unstructured medical records, filter by age and diagnosis, and export a refined dataset for analysis. Who it’s for: AI and ML engineers debugging model outputs Data scientists triaging messy logs Researchers exploring large datasets on their own Product teams trying to understand chatbot behavior Anyone drowning in unstructured data and tired of waiting for tools to catch up 📣 Hyperparam is free while it’s in beta. Try it with your data and let me know what you think.