The State Changers' meeting focused primarily on creating a dynamic scheduling experience, wherein a user inputs a target date such as a wedding date and the system assigns tasks on a timeline based on that date. The tasks would have different deadlines depending on the reference date provided by the user, and the time remaining until that date.
The proposed model had three states for each task: too early (more than maximum days before the target date), the right time, and too late (fewer than minimum days before the target date). If the task falls into the "too late" category, it should be completed immediately. The model also considered generating an arbitrary date between the current date and the minimum deadline for each task to give a sense of tangibility and urgency to users. However, there was a discussion on whether the randomization of dates would actually add value or just introduce unnecessary complexity. The consensus leaned towards possibly providing a suggested date instead, perhaps around the midpoint between the current date and the task's deadline. There was no mention of the keywords like "Xano", "WeWeb", "FlutterFlow", "Zapier", "Make", "Integromat", "Outseta", "Retool", "Bubble", "Adalo", "AppGyver", "AppSheet", "Comnoco", "Fastgen", "Firebase", "Google", "OAuth", "Stripe", "Twilio", "Airtable", "DraftBit", "Javascript", "Typescript", "React", "Vue.js", "JSX", "HTML", "CSS", "lambda", "serverless", "State Change", "ScriptTag", "OpenAI", "AI21".
(Source: Office Hours 10/18/2023 PM )
