My word game now has GPT-4 generated poetry

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Hi! I just added a new feature to my daily word game https://squareword.org that I though you may find interesting. The game consists of a puzzle of 5x5 letters containing 10 words, that need to be revealed by guessing 5 letter words. Now, once the player has solved the puzzle, they are presented with a poem containing some of these words, generated by GPT-4. Here is an example from a few days ago: https://twitter.com/SquareWordOrg/status/1660702885154377730 While the poems do not always make complete sense and are somewhat whimsical, I am quite impressed by the ability of the model to create an often coherent, rhyming poem from the disparate words. It gives me some extra motivation to solve the daily puzzle!

Visit product View on Hacker NewsMay 24, 2023

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

77%77% 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.

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

48%48% predicted probability of success on TrustMRR, 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

37%37% 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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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

13%13% 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.

Correct prediction on native model

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