Using 8-bit ISA graphics card with Arduino Mega

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My attempt to use 8bit ISA graphics with Arduino Mega. The real goal is to use this with either 6502 (extra register will be needed to keep segment part of the address) or with Z180 (which has 19 address lines). This work is based on an earlier attempt: http://www.tinyvga.com/avr-isa-vga What I did basically was to simplify the code and fix some bugs (there was one nasty bug related to font loading). Sharing as this may be of interest to people interested in retro computing or building their own SBC.

Visit product View on Hacker NewsNov 28, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: tiny, using, code · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, 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 · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, 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.

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

15%15% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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