Get featured on a famous billboard in Times Square with 1 click

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Hey HN! BroadBoard is the simplest & most affordable way to get your product featured on one of the most famous billboards in Times Square. We just launched on Product Hunt: https://www.producthunt.com/posts/broadboard-times-square ! Normally advertising in Times Square requires 7-figure budgets and months-long commitments. We’ve organized a partnership with the management behind the famous Thomson Reuters sign in the heart of Times Square to let startups share exciting news about their companies & products on their billboard for a fraction of the cost: just $500 per feature. This is one of the largest digital signs in the world (22 stories tall), adjacent from the Hard Rock Cafe and the site of the New Years Eve Ball on 43rd Street & 7th Avenue. See it on Google Street View here: https://goo.gl/jgp1W8 )! Every BroadBoard feature comes with a feature on the Thomson Reuters billboard, a full press release, a photo of your feature on the sign, and distribution to our network of 1,400 content websites. ️ Really excited to share this––would love to hear your thoughts! https://broadboard.club –– Matt, Aaron, & Frances PS: This is our 11th product in our 24 in 12 months challenge, 3rd product in 2 weeks (Read about the challenge here: https://westvesey.com/why-were-building-24-businesses-in-12-... )

Visit product View on Hacker NewsSep 19, 2018

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

94%94% 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: google, new · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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.

TrustMRRLess likely to generate early MRR · Strong signals: month, google, way · Missing: mobile apps, ios, personal

42%42% 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

41%41% 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

22%22% 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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