Annex Risk is a startup aiming to reduce homeowners insurance costs by providing digital infrastructure for insurance agents to quote and bind policies rapidly. They claim significant growth and are hiring engineers to scale their platform, which currently replaces multi-day manual processes with a 90-second digital transaction. The core problem they address is the high cost of insurance in catastrophe-prone areas.
A starter prompt for Claude Code, what you'll need, and how to reach them.
You are a solo full-stack developer. Your task is to build a proof-of-concept for a '90-second homeowners insurance quote' platform, similar to Annex Risk, but tailored for the Ontario, Canada market. Focus on the core user flow for an insurance agent. **Stack:** Next.js 16 App Router, React 19, Tailwind v4, Neon Postgres on Vercel. For any AI functionality, use AI SDK v6 with Gemini. **MVP Slice:** 1. **Agent Login/Authentication:** Simple email/password login for an agent. Store agent data in Neon Postgres. 2. **New Quote Form:** A web form where an agent can input key property details for a homeowners insurance quote in Ontario. Start with essential fields: postal code, property type (house/condo), year built, square footage, estimated replacement cost, known claims history (yes/no). 3. **Basic Risk Assessment Logic (Placeholder):** Based on the postal code (simple lookup of 'high risk' vs 'standard risk' areas - assume a simple data mapping you create), and year built, provide a placeholder 'risk score' (e.g., 1-5). State explicitly that this is a placeholder for real actuarial data. 4. **Instant Quote Generation:** Display a sample quote based on the input and placeholder risk score. The quote should include a fictional premium, deductible, and coverage details. This should be purely illustrative; no actual financial calculations are needed for the MVP. 5. **Quote History:** A simple dashboard for the logged-in agent to view past generated quotes. **Build/Verify Gate:** The application must allow an agent to log in, create a new quote by filling out the form, see an instant (placeholder) quote generated, and view this quote in their history. All data must persist in the Neon Postgres database.
United StatesOntario
Focus on developing a digital insurance platform specifically for Ontario homeowners insurance, integrating with local property data and provincial insurance regulations to offer faster quotes and binding for Canadian agents.
Annex Risk | Full-stack + Backend Engineer | Bay Area, Austin | Full-time The cost of homeowners insurance, especially in natural catastrophe prone areas, has skyrocketed in recent years. Annex is solving this problem with better digital infrastructure for executing the transaction. Our platform enables insurance agents to quote and bind policies within 90 seconds vs. the current multi-day phone/email/fax-based transaction that is the status quo. We grew 4x in 2025 and anticipate similar growth in 2026. We've done the above after deploying <$1.5m in funding. We have significant and growing momentum on both the insurance distribution and insurance capital sides of our business; our challenge now is scaling our engineering team to support that progress. We're in that exciting early stage, where someone can contribute foundational new pieces to core parts of our platform. More details at: Full-stack Engineer: https://wellfound.com/jobs/4130991-software-engineer-full-st... Backend Engineer: https://wellfound.com/jobs/3060211-software-engineer-backend
This is a hiring post. Do not contact the makers directly about this project, as it's a job application, not an open bounty.
“No direct outreach for this specific 'find' as it's a job posting. However, if building a localized version for Ontario, the approach would be to cold outreach to independent insurance brokers/agencies, demonstrating the working prototype and offering a pilot.”
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