Unicorn Dev

Stop sifting through resumes—spin up the right engineer in a day. Start by submitting a crisp brief: product goals, stack preferences, roadmap milestones, timezone overlap, and target budget. We translate that into a role card with must-haves and nice-to-haves, then confirm scope in a 15‑minute kickoff. Typical pace: submit the brief in the morning, align on requirements before lunch, and see your first set of matches by the next business day. If you’re under deadline, flag it during intake and we’ll prioritize delivery windows and availability to match your launch plan.

Once your brief is live, you’ll receive 3–5 pre-qualified profiles that map directly to your requirements. Each profile includes a skills matrix, recent projects, sample code or architecture notes, rates, work hours, and start date. Use the built-in scorecard to rank candidates against your criteria—core tech, problem-solving, communication, and delivery history. Book 30‑minute interviews with one click; add a 20‑minute pair‑programming segment if you want to watch their approach in real time. Prefer a hands-on test? Spin up a paid, time‑boxed pilot (e.g., build a feature flag service, refactor a flaky test suite, or sketch a small component in your codebase). Most teams complete interviews and decide on a hire the same day they receive matches.

Move straight into delivery with a clean onboarding routine. Choose engagement type (full‑time, part‑time, or flexible hours) and kick off under a single agreement that covers NDA, IP assignment, and data handling. We provide an onboarding checklist: repo and environment access, CI/CD tokens, Slack/Teams channels, standup cadence, sprint plan, and acceptance criteria for the first milestone. Track time and progress through weekly demos and written updates. Need to adjust capacity? Add a second engineer for a spike or roll back hours after a release. If a fit isn’t perfect, request a swap and get a new match without resetting your timeline.

Use this workflow to get real outcomes fast. Building an MVP? Define critical user journeys, map a two‑sprint plan, and have your engineer deliver a clickable prototype by the end of week one, then wire it to your backend in week two. Hardening an existing product? Assign a performance budget, prioritize the top five slow endpoints, and run a profiling–optimization–regression loop through a short pilot. Integrating AI? Provide prompt libraries, data access constraints, and evaluation metrics; your developer can deliver a guarded LLM endpoint with monitoring in a week. Modernizing infrastructure? Hand over your Dockerfiles and current pipeline; they’ll set up staging parity, blue‑green deploys, and rollback policies, then document the runbook for your team to own.