Flashviz, Microcontroller flash and RAM 3D visualization

Hacker News

I developed this application because in my professional contracting the same pattern of problems came up client after client, how much of the microcontroller or flash is used, and can we do [FEATURE] with what we have. As an embedded engineer the output of arm-none-eabi-size and a spreadsheet tells me the story, but an email or a slide for the client doesn't do it. Another motivator for this project was why not make today look like the future of the movies! You watch tech action movies and there is 3D rotation views of processors, or circuits as holograms right in front of you, or animations of zooming through networks. These movie effects are designed for the exact same thing professional engineers want, to get the info across in an instant to people who don’t know the details. The action hero needs to show the mega-gigatron reactor is almost full, so the green-yellow-red bar graph is almost full, spinning and blinking red with a flashing warning sign suggesting impending doom! While in reality the stakes are less dramatic than that, imagine if the information on how full a system is was conveyed to a PM or VP in the same way? That's the goal of this project, give the engineer the tool to show the boss the details graphically, and make it look good. It's free to use. Screenshot pages without watermark are available for free as well, GDPR compliant no marketing contact with explicit opt-in if you want to chat about professional engineering.

Visit product View on Hacker NewsSep 11, 2026

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2points

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

73%73% 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: email, visual · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

44%44% 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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% 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

11%11% 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 · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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