Lovable evaluates side projects with the same weight as professional work. A fanatical, well-crafted side project can demonstrate a candidate's ceiling for hard skills and intrinsic motivation more effectively than their day job, making them a top candidate regardless of their formal work history.
Instead of just sending a resume, prove your value upfront by delivering something tangible and useful. This could be a report on a website bug, an analysis of API documentation, or a suggested performance improvement. This 'helping' act immediately shifts the dynamic from applicant to proactive contributor.
Sending a resume is now an outdated and ineffective way to get noticed by AI startups. The proven strategy is to demonstrate high agency by building a relevant prototype or feature improvement and emailing it directly to the founders. This approach has led to key hires at companies like Suno and Micro One.
To get hired in a competitive market, stop spamming resumes. Instead, consistently create and publish content on platforms like LinkedIn that showcases your expertise, knowledge, and passion for your craft. This demonstrates value and attracts opportunities, making you a magnet for recruiters rather than just another applicant.
In the fast-evolving world of AI, the most valuable trait in a designer is a deep-seated curiosity and the self-direction to learn and build independently. A designer who has explored, built, and formed opinions on new AI products is more valuable than one with only a perfect aesthetic.
When evaluating senior candidates, don't view a failed entrepreneurial venture as a negative. It often indicates valuable traits like risk-tolerance, scrappiness, and resilience. These leaders have learned hard lessons on someone else's dime, making them potentially more effective in a new organization.
Lovable prioritizes hiring individuals with extreme passion, high agency, and autonomy—people for whom the work is a core part of their identity. This focus on intrinsic motivation, verified through paid work trials, allows them to build a team that can thrive in chaos and drive initiatives from start to finish without supervision.
Ramp's hiring philosophy prioritizes a candidate's trajectory and learning velocity ("slope") over their current experience level ("intercept"). They find young, driven individuals with high potential and give them significant responsibility. This approach cultivates a highly talented and loyal team that outperforms what they could afford to hire on the open market.
Ditch standard FANG interview questions. Instead, ask candidates to describe a messy but valuable project they shipped. The best candidates will tell an authentic, automatic story with personal anecdotes. Their fluency and detail reveal true experience, whereas hesitation or generic answers expose a lack of depth.
A non-linear career path is a source of unique solutions, not a disadvantage. Reframe your varied past by translating skills into the new context. For example, a musician's "tour logistics" becomes a marketer's "launch planning," showcasing transferable expertise.
For cutting-edge AI problems, innate curiosity and learning speed ("velocity") are more important than existing domain knowledge. Echoing Karpathy, a candidate with a track record of diving deep into complex topics, regardless of field, will outperform a skilled but less-driven specialist.