Dark Alpha Capital Internal HR interview Intelligence Platform

HR Interview Intelligence Platform: Streamlining Hiring at Dackel for Capital

Our private equity firm, Dackel for Capital, is still small, so for a long time we managed all hiring in Excel sheets — candidates, interviews, scores, onboarding, interns, and current employees. It quickly became messy and hard to keep track of.

I built this internal platform to fix that.

The core is a clean Kanban board where we can see every candidate at a glance — which stage they’re in, what needs attention, and what’s next. Clicking on any candidate opens their full profile: uploaded documents, interview history, scores for each round, and onboarding status.

All open positions and interview questions are stored in the database, so the process stays consistent across roles and intern seasons. We can log answers given during interviews and attach scores easily.

One of the most useful parts is the AI screening. I vectorize every resume using Gemini embeddings and store them in Cloudflare Vectorize. When a new candidate comes in, the system can quickly compare the resume against the job requirements and give us an initial yes/no recommendation with reasons. It saves a lot of manual review time.

I originally built the site in Next.js and deployed it on Vercel. I’ve since migrated everything to TanStack Start, and the plan is to move it fully to Cloudflare Workers soon so everything stays inside our centralized Cloudflare setup.

Right now the platform already handles candidate tracking, interview management, scoring, document storage, and basic AI screening. In the future we’ll add inbound webhooks from job boards like LinkedIn, Handshake, and Upwork so applications flow in automatically.

It’s a simple but practical tool that has already made our hiring process much less chaotic and more consistent. For a small firm like ours, that makes a real difference.