I have 100+ perfumes on my shelf, every morning brings the same decision fatigue: “What should I wear today?”
Scents are deeply tied to the environment; a warm woody fragrance that feels incredibly cozy on a chilly, rainy day turns into a suffocating disaster in the humid summer heat.
To solve this daily choice paralysis, I built SOTD using Framer 3.0.
It’s a simple web app that pulls real-time local weather data and instantly ranks perfumes based on "weather compatibility" and "occasions".
I handled about 30% of the creative art direction and initial layout, leaving the remaining 70% of the technical heavy lifting to the Framer AI Agent. Populating perfumes sounded like a nightmare, but I simply fed the agent basic brand and bottle names. It automatically crawled the web, accurately tagged scent notes, mapped public-consensus weather profiles etc...
It also help me handle technical stuff like data fetching & ranking of the perfumes, fixing design details as well as responsiveness. Nevertheless there are times I stepped in to ensure my taste is injected as well
Right now there are still many room for improvements, after all it's still my first hands-on experience using "Agent" at all... thanks Framer for making it so easy & intuitive.
I am going to further enhance the site next few days, and further add on more perfumes to the list, especially the popular ones, so more fragrance folks could also benefit from this site!
I have 100+ perfumes on my shelf, every morning brings the same decision fatigue: “What should I wear today?”
Scents are deeply tied to the environment; a warm woody fragrance that feels incredibly cozy on a chilly, rainy day turns into a suffocating disaster in the humid summer heat.
To solve this daily choice paralysis, I built SOTD using Framer 3.0.
It’s a simple web app that pulls real-time local weather data and instantly ranks perfumes based on "weather compatibility" and "occasions".
I handled about 30% of the creative art direction and initial layout, leaving the remaining 70% of the technical heavy lifting to the Framer AI Agent. Populating perfumes sounded like a nightmare, but I simply fed the agent basic brand and bottle names. It automatically crawled the web, accurately tagged scent notes, mapped public-consensus weather profiles etc...
It also help me handle technical stuff like data fetching & ranking of the perfumes, fixing design details as well as responsiveness. Nevertheless there are times I stepped in to ensure my taste is injected as well
Right now there are still many room for improvements, after all it's still my first hands-on experience using "Agent" at all... thanks Framer for making it so easy & intuitive.
I am going to further enhance the site next few days, and further add on more perfumes to the list, especially the popular ones, so more fragrance folks could also benefit from this site!
