CM4 Board with SATA and GbE Switch

Hacker News

Hey HN, We just launched our first product, a CM4 Carrier Board. Some of the features of the Interceptor Carrier Board include: dual HDMI ports (4Kp60), 5 SATA ports, 4 RJ-45 gigabit ports (via gigabit switch), 4 USB 2.0 ports, RJ-485, and an RTC clock with battery backup. There are also two FFC connectors for future expansion (coming soon). The board is powered via an ATX-24 connector, and a Mini-ITX adapter will be available soon. Here is a link to the board page (product brief linked at the bottom of the page): https://www.axzez.com/axzez-circuit-boards

Visit product View on Hacker NewsJan 7, 2022

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

59%59% 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 · Strong signals: soon · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

18%18% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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