only in sf do you need a statistical model to figure out if someone is interested in you. i analyzed n=47 post-party interactions. here's the model: platform intent score: - slack connect: -1/10. autistic. he wants to do business. not the fun kind. - linkedin: 0/10. a professional courtesy. - partiful invite to something: 0/10. he is stringing you along. - twitter/x: 2/10. he's subscribing to your feed, not to you. - instagram: 7/10. he's interested. - text: 8/10. he's either a real one or a sociopath. key modifiers: - he's a founder: -1 to score. he's dating his startup. you're a distraction. - he's a VC: -2 to score. you are deal flow. - added you in < 1 hour: +1.5. dopamine is high. - added you in > 24 hours: -2. you are a task in his weekend CRM running on his new OpenClaw setup. - first message is an inside joke: +2.5. he was actually listening. - doesn't follow you back on twitter: -100. fatal error. the bar in sf is a github commit and a follow-back