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mobility lab forecasts where you'll land in the US income distribution when your career peaks. A multi-factor model blends 42 predictors — parental rank, education, industry, geography, and behavioral levers you can change — into a probabilistic percentile forecast. Grounded in Chetty's Opportunity Insights research, BLS earnings data, and the SCF wealth survey. Adjust any input to see your trajectory, class-probability distribution, and highest-impact moves recalculate instantly.
Hi! I built this mobility lab as a research project , an experiment in turning the economics literature on intergenerational mobility (Chetty's Opportunity Insights, BLS earnings data, and the SCF wealth survey) into an interactive, personal forecast. The goal was to make abstract findings about parental rank, education, geography, and behavioral levers tangible: something you can actually adjust and watch your projected income percentile move. Curious to hear your feedback on the model and the assumptions behind it.
Would love to see a comparison view where you can fork your inputs into two or three alternative scenarios side by side. For example, what changes if I move to Austin versus stay in Chicago, or if I pivot into healthcare instead of staying in finance. It would make the behavioral levers feel much more tangible instead of adjusting one slider at a time and trying to remember the previous forecast.
About mobility lab. social mobility forecast on Product Hunt
“based on data where might you land”
mobility lab. social mobility forecast was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #151 on the daily leaderboard. mobility lab forecasts where you'll land in the US income distribution when your career peaks. A multi-factor model blends 42 predictors — parental rank, education, industry, geography, and behavioral levers you can change — into a probabilistic percentile forecast. Grounded in Chetty's Opportunity Insights research, BLS earnings data, and the SCF wealth survey. Adjust any input to see your trajectory, class-probability distribution, and highest-impact moves recalculate instantly.
mobility lab. social mobility forecast was featured in Data & Analytics (5.7k followers), Personal Finance (2.8k followers) and Career (2.1k followers) on Product Hunt. Together, these topics include over 13.6k products, making this a competitive space to launch in.
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mobility lab. social mobility forecast was hunted by Phil O’Neal. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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