A Wordle-Inspired Puzzle Game with Images

Hacker News

Howdy HN folks! I’ve been working on What The Pix Say (WTPS), a Wordle-inspired word puzzle game where you solve phrases by guessing the meaning of images. Here’s how it works: - Each phrase is represented by a set of images. - You drag the images into place to form a phrase or sentence. - The game accepts partial matches, so you don’t always need to be exact. For example, an image of a theater might represent “the,” or an image under a bridge could symbolize “under.” I use AI to help generate the games and images (they can be quite hilarious at times). Would love to get your feedback before I release this into the wild! Cheers, Shaun PS: If you’re curious about how I built it, I recorded the whole process here: https://www.youtube.com/watch?v=dnV0d-Nflqk&list=PLYM7y5xhAU... .

Visit product View on Hacker NewsSep 10, 2024

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

75%75% 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.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% 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

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

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

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

29%29% 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

10%10% 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.

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