OpenBallot, Aggregated SF/California Voter Guides

Hacker News

A group of us (democracy-passionate friends) just launched OpenBallot, a platform of 40+ voter guides. The goal is to save you research time by showing you all the endorsements and explanations you care about in one place. You can use this to fill out your ballot, which is private by default. You can then share with friends or publish your views on our platform. The site is our first prototype; if you're in SF, please try it and share your feedback! We're hoping to use this to eventually scale to all over the country.

Visit product View on Hacker NewsOct 29, 2024

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

79%79% 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.

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

58%58% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

20%20% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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