PolicyEngine, a FOSS web app that computes the impact of public policy

Hacker News

PolicyEngine simulates tax and benefit policies. Users can enter their household information in rich detail (hundreds of variables), and we estimate their taxes and benefits; they can also design a custom policy reform from hundreds of parameters and we estimate the impact on society (poverty, inequality, and the budget) and their own household. It's free, open source, and mobile friendly, and operates in the US and the UK. We just launched a major update where we rewrote everything but the rules engine, and fully launched PolicyEngine US (previously beta). US launch post: https://policyengine.org/us/blog/the-new-policyengine US 15-second video: https://youtu.be/8lpXRppeq_U US post on using PolicyEngine to model a Child Tax Credit reform: https://policyengine.org/us/blog/from-idea-to-impact-scoring...

Visit product View on Hacker NewsJan 14, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, new · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, users, para · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, users · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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