iLook AI Face Analysis
AI face analysis with privacy-first visual insights
Developer Tools·AI & Machine Learning
About
iLook is a privacy-first browser tool for exploring visible facial geometry in a user-provided photo. It explains face shape, symmetry signals, proportions and Golden Ratio phi context in a clear, non-medical report. People can review structured presentation insights, while developers can connect through REST, OpenAPI, MCP and A2A machine-readable outputs. iLook does not identify people, create biometric profiles, infer sensitive traits or make medical or high-impact decisions.
Key features include photo-based face-shape context, symmetry and proportion signals, Golden Ratio comparisons, clear visual explanations, and documented developer surfaces. The workflow is browser-based and designed to keep the report focused on visible presentation signals.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch Now
FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I prefer one of many... it's more work to fill in a text field than it is to click a button and on top of that if it's like which of the following do you like red green or blue if they choose red it's very easy for you to then say hey if they chose red make the background red
Force multiple choice — never free text
Multi-choice buttons drive 98-99% click-through to the next question because there's zero cognitive load and the answers are machine-readable for downstream personalization. Free-text input collapses both completion AND your ability to use the data. Use an "Other" with a free-text follow-up only as a release valve, then mine those entries to rephrase existing buttons later.
What an early stage app team needs to work on is product-market fit, whether they think they do or not. They're probably two or three years away from product-market fit. That means they need to iterate on the product and they need to iterate on the marketing and meet there somewhere in the middle.
Most early-stage apps are 2-3 years from product-market fit
Andy refuses early-stage clients at Phiture because they arrive thinking they're ready for hyper-growth and almost never are (Flappy Bird is the rare exception). The honest expectation: years of product and marketing iteration until the retention curve flattens, not weeks of growth hacks.
There's a play for whatever you're stuck on.
Read all 2722 playbooks