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Crafting a Game with ChatGPT and Overcoming Challenges

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Crafting a Game with ChatGPT and Overcoming Challenges

Hello, guys! I've created a game here, in collaboration with ChatGPT. AI wrote most of the code, and I just provided instructions and reported bugs, which it then fixed. Sometimes AI would hallucinate and produce nonsensical code, but a properly set prompt would correct the situation. At times, it would forget what the last correct code was and start glitching again, so I had to resend the correct code. At this stage, ChatGPT can replace a junior developer, but not more than that. The GPT-4 model works better and produces clean code, but access is limited - you can only send up to 25 messages within 3 hours. So, I completed the rest of the code using GPT 3.5 Turbo and subscribed to it. I'm very pleased with the final code. Keyboard Puzzle game! The goal of this game is to restore the original order of the shuffled keyboard keys by swapping them with their correct positions within the time limit. Here are the game rules: Select a key from the shuffled keys below the main keyboard. Click on a masked key in the main keyboard to swap them. Continue swapping keys until the main keyboard is in its correct order. You have 180 seconds to complete the puzzle. Your score is based on the number of correctly placed keys. Good luck and have fun! https://keyboard-puzzle.vercel.app/ Github code https://github.com/pyoner/keyboard-puzzle Follow me on Twitter https://twitter.com/pyoner

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, chatgpt, using · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, 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
47%47% 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
36%36% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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