Caliber turns a pasted LinkedIn URL into a scored founder profile for VC deal-flow screening. The parser extracts job history, education, and network signals, assembles a structured ID card, and rates the profile against criteria like past entrepreneurial or senior-management experience and time at recognized companies — along with an AI-written narrative explaining the score. Every scored profile lands in a private, searchable directory gated behind Google OAuth, so results stay visible only to the VC who ran them.
The prompt
A tool that grades LinkedIn profiles as “entrepreneur material” for Venture Capitalists. User copy/pastes a LinkedIn URL, and it will parse the profile, extract all relevant information, build a small ID card and add it to the profiles directory, and rate it, taking into account job, studies, qualifications, network size, past experiences as entrepreneur or senior manager, GAFAs or hot companies in the resume, etc. and assess the potential as a founder for a new company. Google oAuth login so that parsed profiles remain private.
What it does
- LinkedIn profile parsing and structured data extraction via pasted URL
- Multi-factor founder score weighted on education tier, seniority, GAFA/top-company tenure, and entrepreneurial track record
- Auto-generated founder ID card with key signal highlights and AI narrative assessment of founding potential
- Private profiles directory with search, filter, and sort by score or date added
- Chronological career timeline visually flagging entrepreneurial signals and leadership milestones
Built in 16 minutes, prompt to live deploy.