kunming-it-companies
Kunming Tech Radar
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:
- Mainland-facing website: https://kunming.tianmind.com/ (prepared for deployment)
- Backup GitHub Pages site: https://tianmind-studio.github.io/kunming-it-companies/
- Chinese README: README.md
- Company index: COMPANIES.md
- Low-friction submission page: submit.html
- Use cases: docs/use-cases.md
- Search guide: docs/search-guide.md
- Domestic static deployment notes: docs/domestic-site-deploy.md
- Primary dataset: data/companies.json
- Data standard: docs/data-standard.md
- Data quality report: docs/data-quality-report.md
- Data cleanup plan: docs/data-cleanup-plan.md
- Data change summary: docs/data-change-summary.md
- Contribution guide: CONTRIBUTING.md
- Public sharing copy: docs/promotion.md
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:
| Metric | Status |
|---|---|
| Companies / organizations | 73 |
| Verified official websites | 24 |
| Verified official pages | 2 |
| Community pending records | 47 |
| Weak-source records | 43 |
| Missing district records | 39 |
| Strong-source ratio | 36% |
| Source leads | 45 public entry points across 9 directions |
| Community and event sources | data/communities.csv, data/events.csv |
| Government project portals | data/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:
- Kunming IT companies
- Kunming software companies
- Kunming AI and data companies
- Yunnan software companies
- Yunnan digital transformation and public project entry points
- Kunming developer communities and events
- Kunming tech companies for non-local readers
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
- Keep original public source links whenever possible.
- Mark uncertainty instead of hiding it.
- Do not infer active hiring from recruiting-platform search pages.
- Do not collect private phone numbers, private WeChat IDs, screenshots, rumors, salary claims, layoffs, disputes, or unverified negative information.
- Treat
opportunitiesandsuitable_for_*fields as reading hints, not promises.
Contributing
The most valuable contributions are:
- Add official websites or official recruiting pages for
community_pendingcompanies. - Add missing district information.
- Add a second public source for weak records.
- Add local university tech groups, developer events, park activities, or government digital project portals.
- 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
- If you reuse, cite, translate, or reorganize this dataset, read docs/reuse-and-citation.md.
- If you find private information, outdated records, broken links, or entries outside the collection boundary, follow docs/takedown-and-correction.md.
- For public discussion and contribution norms, see docs/community-guidelines.md.
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.