Cclarity

What it is

Cclarity is a LinkedIn content and intelligence SaaS tool at get.cclarity.io. It helps B2B founders write LinkedIn posts that sound like them, track who actually engages, and identify warm leads from their content.

The core insight: vanity metrics are unreliable. Engagement pods inflate numbers. What matters is WHO engaged and whether they match your ideal customer profile. Cclarity shows you names, not just counts.

The product

The AI writing assistant helps you draft LinkedIn posts in your voice. Pick a content category, describe what happened, and it drafts a post that sounds like you wrote it, because the system learns your style.

The intelligence layer connects directly to LinkedIn’s API. Every post you publish through Cclarity gets tracked: who reacted, who commented, who viewed your profile after. The platform matches those people against your ICP and surfaces the ones worth reaching out to.

How it was built

Built with a small team: I handle the product direction and contribute frontend code, working alongside an engineer on the backend. React frontend with Supabase for data, connected to LinkedIn’s official API for real-time publishing and analytics. The AI layer uses Claude for content generation and style matching.

There is also an MCP (Model Context Protocol) connector that lets AI assistants access LinkedIn data directly, enabling workflows where an assistant can analyse post performance, identify warm leads, and draft outreach from a single conversation.

What I learned

The biggest lesson: track engagement quality, not quantity. A post with 50 reactions from random people is worth less than a post with 8 reactions from decision-makers in your target market. Every product decision comes down to: does this help the user identify and reach the right people?

See my other projects: CheckHowMuch.sg (9,700+ pages of property data, built with Claude Code) and SeeWhatIf (134 healthcare cost scenarios, also built with Claude Code).