RFC End Citizen Data Sales Act (California)

Hacker News

The sale of personal information by the government is something that has always really bothered me. This is a bill I drafted that would stop the DMV, voter registration, property tax records, and the post office from selling or publishing without explicit user consent. It would also require personal information to be accompanied with the provenance of that data. This way, a user can track down who or what is publishing their data and take action to end their relationship with that company. I would appreciate any feedback, because I am sure I am missing some second and third order effects that this would have. Document open for comments - https://docs.google.com/document/d/1HVSrRrJwubRmgxTSExN0pEwumbo8REJeEUBK7QCW2gU/edit?usp=sharing Privacy should be a right of the people. Thank you!

Visit product View on Hacker NewsMay 5, 2022

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

25%25% 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

11%11% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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