Explore AI data in your browser.
hyperparam.app Source★ 1AI Models & Agents / Training Data & Labeling
- Monthly visits
- None yet
- No traffic data yet
- Public revenue
- Undisclosed
- No public revenue evidence yet
- Entry price
- Free
- No monthly subscription pricing
- Launched
- 19mo ago
- 2025-05-01 · Est.
Traffic
No traffic data yet.
Marketing moves
Launches, search & content, referrals, promotions- I searched X for references to Alice Huang from before this week. Short sellers always know. [May 13 2026]
@platypii · 2026-11-13 · 13 likes · 1 reposts · 476 views
Launched on Show HN (2 pts)Launch
Squirreling: a browser-native SQL engine — I made a small (~9 KB), open source SQL engine in JavaScript built for interactive data exploration. Squirreling is unique in that it’s bu…
Dec 30, 2025 · 11mo agoLaunch page
Launched on Product HuntLaunch
The Swiss Army knife for your AI data
Nov 20, 2025 · 12mo agoLaunch page
Launched on Show HN (16 pts · 1 comments)Launch
We built an AI tool for working with massive LLM chat log datasets — There’s an important problem with AI that nobody’s talking about. AI’s entire lifecycle is tons of data in for training, and an even large…
Nov 19, 2025 · 12mo agoLaunch page
Launched on Show HN (77 pts · 21 comments)Launch
Hyperparam: OSS tools for exploring datasets locally in the browser — For the last year I’ve been developing Hyperparam — a collection of small, fast, dependency-free open-source libraries designed for data s…
May 1, 2025 · 19mo agoLaunch page
Third-party reviews & case dossiers
Acquisition breakdowns, engineer reviews & open-source metrics- Post excerpt:
- For the last year I’ve been developing Hyperparam — a collection of small, fast, dependency-free open-source libraries designed for data scientists and ML engineers to actually look at their data. - Hyparquet: Read any Parquet file in browser/node.js - Icebird: Explore Iceberg tables without needing Spark/Presto - HighTable: Virtual scrolling of millions of
- Post excerpt:
- There’s an important problem with AI that nobody’s talking about. AI’s entire lifecycle is tons of data in for training, and an even larger amount of text data out. Traditional tools can’t handle the sheer volume of text, leaving teams overwhelmed and unable to make their data work for them. Today we’re launching Hyperparam, a browser-native app for explorin
- Post excerpt:
- I made a small (~9 KB), open source SQL engine in JavaScript built for interactive data exploration. Squirreling is unique in that it’s built entirely with modern async JavaScript in mind and enables new kinds of interactivity by prioritizing streaming, late materialization, and async user-defined functions. No other database engine can do this in the browse
Open Source & Agent Ecosystem
- GitHub Stars
- ★ 1
- Forks
- —
- License
- See repository
- Primary language
- JavaScript
Agent, MCP & Developer Integration
Agent Skill- Ecosystem & integrations:
- S3Hugging FaceAzure BlobGitHubClaude CodeCodexChatGPTLangfuseLangSmithPhoenix
- Exposed tool capabilities:
- Data CleaningData AnnotationModel BenchmarkingDebug wasted tool callsBrowser-first by design
Traffic sources
Traffic breakdown
No traffic channel or country breakdown data for this website yet.
Search
Domain authority —Domain registered 2023-10-31
No search keyword data for this website yet.
Traffic data: Vaneform
Pricing
Pricing page not identified yet, or no public pricing listed.
Pages & changes
Key pages
Weekly snapshotsChanges
Questions & evidence
- What is Hyperparam and what platforms does it support?
- Hyperparam is catalogued under Training Data & Labeling: Explore AI data in your browser.. Supported platforms: Web.
- Is Hyperparam open source?
- Hyperparam has a public repository (https://github.com/hyparam/hypaware) with its source repository published, recording 1 GitHub stars.Source
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