Kunming Tech Radar

![validate](https://github.com/tianmind-studio/kunming-it-companies/actions/workflows/validate.yml)

One-line intro: Kunming Tech Radar is an open, source-backed dataset of tech companies, communities, events, and digital-project leads in Kunming and Yunnan.

中文一句话:昆明技术机会雷达是一个整理昆明/云南技术公司、社群活动和数字化项目公开线索的开源数据项目。

Kunming Tech Radar collects public information about technology-related companies, IT companies, software teams, AI/data companies, public source leads, events, communities, and government digital project entry points in Kunming and Yunnan.

It is not a ranking, a job board, a recruiter, a company endorsement, or a guarantee of any opportunity. The project exists to make scattered local signals easier to search, verify, reuse, and maintain.

Primary links:

Who It Helps

Students can use it to understand local industries before applying for internships or choosing project topics.

Developers can use it to discover local teams, public recruiting pages, events, and communities.

Freelancers and founders can use it as a research map for digital transformation needs, system integration work, and industry-specific software opportunities.

Companies and institutions can contribute official websites, recruiting pages, technical blogs, open-source pages, and public activity pages so local developers can find them more easily.

Current Data

The main company dataset is data/companies.json. Generated outputs are COMPANIES.md and data/companies.csv.

Current coverage:

MetricStatus
Companies / organizations73
Verified official websites24
Verified official pages2
Community pending records47
Weak-source records43
Missing district records39
Strong-source ratio36%
Source leads45 public entry points across 9 directions
Community and event sourcesdata/communities.csv, data/events.csv
Government project portalsdata/gov-projects.csv

The numbers should stay aligned with docs/data-quality-report.md. After data changes, run npm run generate:data-quality and npm run validate.

community_pending, weak-source records, and missing districts are open collaboration entry points, not defect labels. They show where local developers, students, companies, and maintainers can help by adding public official websites, official pages, district evidence, government project pages, official articles, or recruiting pages.

Search Intents Covered

The site and docs are organized around real lookup needs:

Each search intent should map back to existing data, source links, or a documented verification method. The project avoids keyword-only copy that is not backed by data.

Data Principles

Contributing

The most valuable contributions are:

  1. Add official websites or official recruiting pages for community_pending companies.
  2. Add missing district information.
  3. Add a second public source for weak records.
  4. Add local university tech groups, developer events, park activities, or government digital project portals.
  5. Report outdated links, duplicates, or records outside the collection boundary.

If you do not use GitHub often, use submit.html first: submit the same-origin online form, copy a template, or send public source links through the maintainer WeChat route. Developers can still open a GitHub issue with the company or event name, location, public source link, and a short explanation of why it is technology-related.

Reuse, Citation, and Corrections

Local Checks

npm run generate:companies
npm run export:csv
npm run generate:data-quality
npm run data:diff
npm run build:site
npm run validate

License

Code is MIT licensed. Data is intended for public collaboration and non-commercial research reference. Please keep source links and verification dates when reusing or reorganizing the dataset.