Pu

Public Debate of Laws and CaseLaw in a Way That Just Makes Sense

Hacker News

Public Debate of Laws and CaseLaw in a Way That Just Makes Sense

Hey, HN! I don't know if it is proper to use the "Show HN" moniker for this situation so I apologize if that's the case.<p>I've spent about a year now working part-time on an idea to improve the level of debate and discussion on legislative materials like bills, laws, regulations, and other public documents. I've got an early proof-of-concept for the annotations that was built a few weeks back and I'd like to expand to a private and then public beta.<p>Please check out my page for the Knight News Challenge where I'm hoping to gain a grant for some funding and hit "applaud" if you like the idea. The video explains broad strokes and then the blob of text expands on the idea that a 3-pronged approach of education/debate and discussion/and creative solutions is an optimal route.<p>Also, please take special note that I'm looking for a technical cofounder or two as I don't have anyone else permanently in the job at the moment and I'm a total newbie outside of the legal context.<p>PS - it's not a popularity contest so "applaud"s mean little more than letting me know that people are down with the concept

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, context, plain · Missing: mac, agents, macos
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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 · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way, education · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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