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Self-Published Book – “Guide to Nevada's New Data Law” for Developers

Hacker News

Self-Published Book – “Guide to Nevada's New Data Law” for Developers

I just self-published a book about Nevada's new data privacy law for web developers, website designers, and internet companies. The European Union's GDPR and California's CCPA receive more attention in the news, but some websites must comply with Nevada's new data privacy law. Here are some links: - Sample Excerpt (PDF): https://www.dropbox.com/s/ljs3sjke3nmfzby/Nevada_text_pocket_guide_February_2020%20%5Bexcerpt%5D.pdf?dl=0 - Paperback (on Amazon.com): https://www.amazon.com/dp/B084DGFQK3 - Kindle (on Amazon.com): https://www.amazon.com/dp/B084H37KC3/ Please let me know of any feedback.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% predicted probability of success on Indie Hackers, 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
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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