PicoVision – A HDMI video stick with dual RP2040 chips (CPU and GPU)

Hacker News

I thought it might be a fun one for the HN crowd, to celebrate the launch of our latest product we're running a demoscene competition to see what people can squeeze out of it - details here: https://shop.pimoroni.com/pages/win-a-500-gift-card-in-our-p... PicoVision sports two RP2040 chips (one on a PicoW with WiFi and Bluetooth) acting as GPU and CPU allowing you to drive a HDMI display with smooth fullscreen animation - it can even play DOOM! There's a heap of interesting features built into the GPU firmware including support for "soft" (?!) hardware sprites, palette modes, scrolling, and more! The GPU and CPU share a pair of 8MB PSRAM chips that are swapped each frame using an analog multiplexer to allow them to pass the framebuffer and other information between them with no overhead during VSYNC. It also has a HDMI connector, a microSD socket, GPIO pins, a Qw/ST connector, some buttons, and audio out meaning there are a lot of possibilities from gaming to digital signage and anything inbetween!

Visit product View on Hacker NewsOct 18, 2023

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

88%88% 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.

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

53%53% 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

40%40% 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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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