VibeQuant
PulseGate's liveness check found it on 4 Oct 2026; it is registered on GitHub and has been in the index since 4 Oct 2026. How this is checked
VibeQuant is an independent research platform combining investment columns, quantitative experiments, technology documentation, cyber threat intelligence, and Web3 research. Its browser playground lets users run Python-based security analysis and quantitative experiments using Pyodide and DeepSeek.
Inferred · not functionally tested
Overview
6 featuresPurpose: Running quantitative investment research and analyzing securities without setting up a local data science environment.
Inferred · not functionally tested
Audience: quantitative investors, developers, and technology researchers
Inferred · not functionally tested
Functions: analytics, data_extraction
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: free · license: Proprietary · platforms: WEB · deployment: browser, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: vibequant.cc · github.com. These links do not verify the individual claims.
VibeQuant sits in PulseGate's Trading bots, indicators & backtesting category. Inferred · not functionally tested: It focuses on running quantitative investment research and analyzing securities without setting up a local data science environment. Inferred · not functionally tested: VibeQuant is a consumer product aimed at quantitative investors, developers, and technology researchers. Basis unknown · not verified: VibeQuant costs nothing to use. Basis unknown · not verified: It ships for the web.
It is developed by Dennis Kim (Kim Ho-gwang) (South Korea), and it first shipped in 2026. Development happens publicly on GitHub with 338 stars and 776 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are Python Playground, Stock Analysis, and Quant Experiments.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Python Playground
- Stock Analysis
- Quant Experiments
- Investment Columns
- Tech Documentation
- CTI Reports
Topics: Inferred · not functionally tested
Built with & integrations
- Claude Code
- .claude/
- Cursor
- commit 4654bca86f30 · since Sep 2026
- Cloudflare
- cf-ray header · cf-cache-status header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed18 Sep · 14:10 UTCgameworkerkim/vibe-investing seen via GitHub Search (Smart)Source: GitHub Search (Smart) · Open
Frequently asked questions about VibeQuant
- What is VibeQuant?
- Inferred · not functionally tested: VibeQuant focuses on running quantitative investment research and analyzing securities without setting up a local data science environment. It is catalogued under Trading bots, indicators & backtesting on PulseGate.
- Who is VibeQuant for?
- Inferred · not functionally tested: VibeQuant is a consumer product built for quantitative investors, developers, and technology researchers.
- Is VibeQuant free?
- Basis unknown · not verified: Yes — VibeQuant is free to use.
- What platforms does VibeQuant run on?
- Basis unknown · not verified: VibeQuant runs on the web.
- Is VibeQuant still maintained?
- PulseGate's liveness check found it on 4 Oct 2026. Its GitHub repository shows 776 commits in the last 90 days.
- Who makes VibeQuant?
- VibeQuant is developed by Dennis Kim (Kim Ho-gwang), based in South Korea.
- How long has VibeQuant been around?
- VibeQuant first shipped in 2026.
- Is VibeQuant open source?
- Basis unknown · not verified: VibeQuant has a public GitHub repository.
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