Spartan HUD Smart Helmet for Airsoft, Milsim, and More

Hacker News

Hey HN, excited to show our latest project, the Spartan HUD Alpha, Augmented Reality Smart Helmet for airsoft, military simulations, and more. See and shoot around cover, stay protected and gain tactical advantages, access real-time intelligence, surveillance, and reconnaissance (ISR). Youtube: https://www.youtube.com/watch?v=Bal8bYtxSbE We've developed a functional and lightweight augmented reality helmet that lets you access the heads-up display of a full computer system, connected to your gun as well as a full desktop computer system. See and shoot around cover without exposing your head or torso. Have maps, drone feeds, video chat, and more in your heads-up at all times. Develop whatever applications you want on our fully open computer platform. Currently we are running a crowdfunding campaign, but I don't think it's best to link it, instead I'd be happy to answer any questions and respond to your feedback and comments here. If interested, here's an email contact: info@spartanhud.com Cheers!

Visit product View on Hacker NewsSep 23, 2024

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

80%80% 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: computer, email, open · Missing: mac, agents, macos

72%72% 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, ide, io · Missing: https docs, just released, exist

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

49%49% 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 · Strong signals: chat, smart · Missing: web3, crypto, cryptocurrency

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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