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Stylish Customizable Aluminum Enclosure for Nvidia Jetson Nano

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Stylish Customizable Aluminum Enclosure for Nvidia Jetson Nano

Around 1.5 years ago, I got into this problem. I was preparing to launch my product into the market that is based on Raspberry Pi 4, then all of a sudden, Raspberry Pi 5 came into the market. A lot of folks were asking me whether we will have support for Pi 5 down the road or not, and soon enough this question was extended to other types of single board computers etc. The problem was that Pi 5 moved the location of the ethernet port. This meant I needed to design a new enclosure for it. I previously had this idea to make a generalizable/customizable, yet stylish enclosure that does not look like a piece of junk, and use swappable modules on a common chassis to create a versatile and extendable enclosure. I had tried to keep things as modular as possible in my original design but this was testing the limits of my modular design. So I thought to myself, what if I make the real panel swappable to accommodate various port hole configurations? So I sketched up the design and sent it to my manufacturer and got some samples. We updated CNC’s post-processing program to add some grooves to allow the rear panel slide in place. When I bought the NVIDIA Jetson Nano, I knew I had to make this. So I spent a few hours designing the insert tray that holds Jetson Nano, the rear panel, and 3D printed them. I had to iterate a few times to get it to some acceptable level for the first prototype. I am planning to refine the insert tray since it is a tool less setup (snap-fit) and I have not yet gotten the pleasurable snap click More about the enclosure: The top material is made of blank PCB. It is an invitation and signal that you can make a functional PCB if you want. Around the PCB, goes a translucent light diffuser ring (made out of polycarbonate). This is the original ring I used in Ubo Pod design. If you end up putting some light inside the closure, this can make it visible from outside. I am planning to add an extra PWM fan at the bottom to improve airflow and overall cooling.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% 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: user, computer, new · Missing: mac, agents, macos
81%81% 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
55%55% 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
49%49% 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
43%43% 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
16%16% 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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