Ve

Veeto – Find California bills that will impact your startup

Hacker News

Veeto – Find California bills that will impact your startup

Hey HN! We built Veeto to help small teams find California bills that could impact their startup. Describe what you're building (or link to your site) and we’ll flag relevant legislation with plain-English summaries. The goal is to help small teams discover policy risks and opportunities earlier and, if they want, do something to influence outcomes. We’re curious if something like this is useful, what’s missing, and whether you'd take action on a bill if the tools/agents were there. Any feedback is appreciated. You can try it for free here: https://veeto.ai

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, plain · Missing: mac, macos, cursor
74%74% 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
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
37%37% 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
35%35% 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
26%26% 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
17%17% 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.

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