# How He Vibe Coded His Way To Y Combinator Source: https://www.youtube.com/watch?v=_lEj4aNHAzw Recap page: https://rapidrecap.app/video/_lEj4aNHAzw Generated: 2026-01-20T15:38:02.516+00:00 --- ## Quick Overview Ismile successfully built and validated his AI property manager, Brickwise, using approximately 2,000 prompts on Lowable in about one month, securing Y Combinator acceptance before heavily investing in traditional engineering, proving that rapid validation through no-code tools is crucial for identifying problems worth solving. **Key Points:** - Ismile confirms that at the point of submitting the YC application, the company was built entirely on Lowable using around 2,000 prompts, though his co-founder is highly technical. - Brickwise functions as an AI property manager, handling tenant communications (phone, WhatsApp, SMS, email) 24/7 and automating maintenance logging and contractor scheduling. - The core validation process involved building a sufficiently useful, quickly hacked-together version in about a month and putting it in front of paying customers: "I'd much rather put together something that is sufficiently useful, however quickly hacked together it is." - The AI agent demonstrates advanced capabilities, including contacting up to 50 contractors simultaneously for quotes and using context like error codes from photos to guide immediate fixes. - The go-to-market strategy relies on two parts: effective LinkedIn cold messaging where one in four cold messages receive a reply, and offering a robust free version on the homepage which generated 24 demo calls from 100 product trials in two weeks. - For Lowable usage, Ismile advises talking to the tool in the least technical way possible, sometimes using ChatGPT to refine complex prompts before inputting them into Lowable to save on prompt costs. - Post-YC acceptance, the team shifted focus to engineering complex integrations and scaling the foundation initially built via prompting, with Lowable now serving primarily for rapid UI wireframing during customer calls. **Context:** The interview features Ismile, the non-technical founder of Brickwise, a startup that gained attention for being built almost entirely using Lowable, a no-code/prompt-based development platform, leading to their acceptance into Y Combinator. Brickwise aims to solve scaling bottlenecks for property management firms (managing 1 to 500 properties) by automating tenant maintenance requests and contractor coordination. ## Detailed Analysis Ismile details how he validated the idea for Brickwise, an AI property manager automating maintenance, by leveraging Lowable's rapid prototyping capabilities, spending only about a month tinkering on evenings and weekends to create a version functional enough to secure initial paying customers before significant traditional engineering investment. Brickwise serves property management firms by providing tenants 24/7 support via four channels (phone, WhatsApp, SMS, email); the AI logs issues, finds available contractors using Google API filters, schedules fixes, and provides managers visibility. The AI's advantage over human managers is its ability to contact many vendors simultaneously for quick quotes and its built-in technical context for troubleshooting issues like boiler errors based on user input or photos. Post-YC, the company transitioned to building robust infrastructure, but Lowable remains vital for quick UI demos. Their go-to-market strategy achieves a high conversion rate via LinkedIn outreach and by offering a trial on the homepage, which directly feeds interested users into sales demos. Ismile emphasizes that non-technical founders should prioritize launching sufficiently useful prototypes quickly to validate demand over spending long periods writing perfect code, noting that this mindset often allows them to explore possibilities engineers might prematurely dismiss. ### Company & Product Overview - Brickwise is an AI property manager automating maintenance for landlords and property management firms - Tenants communicate via phone, email, WhatsApp, or SMS 24/7 - The system logs conversations, finds contractors, and schedules maintenance. ### Lowable Development & Validation - The initial product used approximately 2,200 Lowable prompts and took about one month to build to a customer-ready state - Validation centered on proving customer desire before engineering quality: "I'd much rather put together something that is sufficiently useful, however quickly hacked together it is." ### AI Agent Capabilities - The agent responds across four communication channels and can contact 50 contractors simultaneously for rapid quoting - It possesses built-in context, recognizing error codes from photos to guide users through immediate fixes like bleeding a boiler. ### Customer Acquisition Strategy - The go-to-market relies heavily on LinkedIn marketing, achieving a 1 in 4 reply rate on cold messages - A free interactive demo on the homepage captures leads; 24 out of 100 trial users booked demo calls in two weeks. ### Advice for Prompt-Based Building - Non-technical founders should prompt as if a child could understand, being specific and focused on singular changes at a time - Ismile sometimes used ChatGPT to refine and structure complex instructions before inputting the final prompt into Lowable to save costs. ### Post-Validation Engineering Shift - After YC acceptance, the focus moved to building durable infrastructure and third-party integrations - Lowable now primarily supports rapid UI wireframing for customer demonstrations rather than core product development.