Minimum Lovable Product (MLP)
by Anton Osika • Co-founder and CEO at Lovable
Former CTO at a YC startup, creator of the open-source tool GPT Engineer, now building the 'last piece of software' with Lovable.
🎙️ Episode Context
Anton Osika shares how Lovable, an AI software engineer, reached $10M ARR in two months with a team of 15. He discusses the 'scaling laws' of AI reliability, his intense 'Shackleton-style' hiring philosophy for finding 'cracked' engineers, and the evolution of product building from MVP to 'Absolutely Lovable Products' in an age where coding is democratized.
Problem It Solves
Building products that technically work but fail to gain traction because they lack delight or 'soul' in a crowded market.
Framework Overview
A reformulation of the classic MVP concept. In an AI-enabled world, shipping something barely viable isn't enough. The goal is to ship something users love immediately, then iterate toward higher tiers of 'lovability' to drive organic growth.
⚡ Step-by-Step Framework
Start with a Minimum Lovable Product (not just Viable)
Iterate to a Lovable Product
Aim for an Absolutely Lovable Product (ALP)
Growth drives from people loving the product, not just marketing
Start with a Minimum Lovable Product (not just Viable)
Iterate to a Lovable Product
Aim for an Absolutely Lovable Product (ALP)
Growth drives from people loving the product, not just marketing
When to Use
When defining the scope for a new product launch or major feature release.
Common Mistakes
Releasing a dry, purely functional prototype (MVP) that doesn't inspire users to share it.
Real World Example
Lovable launched with a focus on a high-quality, lovable experience, which drove organic word-of-mouth growth to 300k MAUs without traditional marketing.
A lot of jargon that I like to use to emphasize what we should be striving for is building a minimum lovable product and then building a lovable product and then building an absolutely lovable product.
— Anton Osika