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We publish in-depth technology guest posts that explore emerging tools, industry trends, and practical implementation strategies for LinkedIn professionals.
LinkedIn Daily accepts technology guest posts specifically written for business decision-makers, CTOs, engineering leaders, and IT professionals who use LinkedIn as their primary professional network. Your article should address real challenges these readers face when evaluating new tools, understanding technical shifts, or implementing solutions in enterprise environments.
Topic Angles and Article Formats We Accept
We focus on several specific approaches to technology writing that resonate with our audience:
- Comparative analysis pieces that pit competing tools or approaches against each other with specific use cases
- Implementation guides showing step-by-step how to deploy a technology in real business scenarios
- Research-backed trend analysis examining where technology markets are moving in the next 12-24 months
- Expert interviews with practitioners discussing how they solved specific technical problems
- Cost-benefit breakdowns of technology investments with ROI calculations
- Industry-specific deep dives on how particular sectors are adopting emerging technologies
- Migration guides for teams moving from legacy systems to modern platforms
- Skills and hiring analysis examining what companies actually need from technical talent
We prefer articles that include original research, proprietary data, or exclusive interviews rather than summarizing existing knowledge. Your piece should offer something readers cannot find by searching Google or scrolling through standard tech news outlets.
Why LinkedIn Daily is the Right Home for Technology Writers
LinkedIn Daily reaches over 50,000 engaged business professionals monthly, with concentrated readership among technology decision-makers. Unlike generic tech blogs that attract casual readers, our audience actively uses LinkedIn for professional development and procurement decisions. When a CTO reads your technology guest post on our platform, they are actively considering whether to recommend or implement the solutions you discuss.
Your byline appears on a platform where prospects and customers actively research vendors and technologies. Publishing a SaaS writing piece or AI content article here positions you as an authority directly in front of the people evaluating your company’s solutions. Your article gets shared within professional networks where decision-makers congregate, multiplying your reach beyond single-page views.
LinkedIn’s algorithm favors content from established publications, meaning articles published on LinkedIn Daily receive higher visibility than identical articles on independent blogs. We handle distribution across LinkedIn’s platform, email newsletters, and our social channels while you focus on writing substantive analysis that showcases your expertise.
Submission Guidelines for Technology Guest Posts
Submit articles between 1000-1500 words that explore a specific technology topic in sufficient depth to provide actionable value. Articles shorter than 1000 words lack the space to develop meaningful analysis, while pieces exceeding 1500 words often lose the attention of busy professionals reading on mobile devices.
Original research takes priority in our editorial process. If you’ve conducted surveys, analyzed datasets, or interviewed practitioners specifically for this article, mention it prominently in your pitch. We publish tech blog content drawing from your proprietary experience over aggregated information from other sources.
Include one dofollow link in your author bio or within the article body, directing to your company website, consulting practice, or professional portfolio. Affiliate links are not permitted. All external links must point to legitimate sources that support your claims.
Technology guest posts must be completely original and not previously published on other sites, blogs, or publications. Plagiarism checks run automatically on all submissions. Ensure all statistics and claims are attributed to sources or clearly marked as your own analysis.
Include a 50-word author bio with your submission that establishes credibility for why you are qualified to write on this technology topic. The bio should mention relevant certifications, published work, or professional experience directly related to your article’s subject matter.
Example Technology Topics We Accept
- Database Migration Strategies: Moving from monolithic SQL databases to distributed systems like PostgreSQL on Kubernetes with hidden costs and timeline expectations
- API Security in 2024: How companies are preventing data breaches through improved authentication frameworks, with specific tools compared
- AI Content generation for B2B: Evaluating where ChatGPT, Claude, and specialized models actually deliver ROI versus where they create liability
- SaaS Writing and Product Documentation: How companies are improving onboarding by rethinking knowledge bases and setup documentation
- Low-Code Platforms for Enterprise Teams: Comparative analysis of Salesforce Lightning, OutSystems, and Mendix for different organizational needs
- Remote Engineering Team Infrastructure: Tools and practices that actually improve collaboration without reducing output quality
- Technical Debt Calculation: How to quantify the cost of legacy systems and build business cases for modernization projects
- Zero-Trust Security Implementation: Step-by-step guide for mid-market companies moving toward zero-trust architecture
- Data Privacy Compliance Across Regions: GDPR, CCPA, and emerging regulations affecting technology architecture decisions
- Machine Learning Model Deployment: How companies are moving ML projects from notebooks to production systems, with common failures analyzed
Frequently Asked Questions About Technology Writing at LinkedIn Daily
Can I write promotional content about my company’s SaaS product or service? Articles should focus on industry analysis and reader value rather than product promotion. However, drawing from your company’s data or implementation experience is encouraged. Mention your company naturally where relevant, but the article’s primary goal should be educating readers on the technology topic itself, not convincing them to buy your specific solution.
What length should my AI content article be and how much research is needed? Target the 1000-1500 word range with at least three substantial sections that break down different aspects of the topic. Original research means you conducted interviews, ran surveys, or analyzed data specifically for this piece. If you’re drawing from existing knowledge, ensure your analysis adds genuine perspective that distinguishes it from other AI content articles already published elsewhere.
How long does the review and publication process take? After submitting your technology guest post, expect editorial review within 5-7 business days. We may request revisions to strengthen claims, clarify technical points, or better align with our audience. Once approved, publication typically occurs within two weeks. Timing depends on our editorial calendar and whether your article complements other scheduled technology content.
Can I include code samples or technical diagrams in my tech blog article? Yes. Code samples in relevant languages and technical diagrams that illustrate your points are welcome. Format code using standard markdown syntax. For diagrams, submit as high-resolution images embedded in your document. Keep technical depth appropriate for CTOs and senior engineers rather than beginner developers.
Submit Your Technology Guest Post
Send your article proposal or completed technology guest post to editor@linkedindaily.com with the subject line “Technology Guest Post Submission: [Your Article Title].” Include your proposed topic, brief outline, and author bio explaining your qualifications for writing on this technology subject.
If you have conducted original research, conducted interviews, or analyzed proprietary data, highlight this in your pitch. Articles drawing from unique data and expertise receive faster editorial review and higher acceptance rates.
We look forward to publishing your insights on the technology topics that matter most to LinkedIn’s business decision-makers.
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