Letter Lockbox – A word game I built over the weekend with Claude Code

Hacker News

I have been wanting to build something with AI from scratch but never found a good idea. I love word games like Wordle and Spelling Bee so I used Gemini to filter through some ideas for word games. After I had three ideas I took them to family and friends and asked which one I should build. My daughter really liked the Letter Lockbox idea so I started there. Cole Medin has a great video on YouTube on how to use AI for iterative development [ https://www.youtube.com/watch?v=SS5DYx6mPw8&t=395s ] and I used his method to create a PLANNING.md and a TASK.md file. This was a blast to make and it is live! Enjoy!

Visit product View on Hacker NewsJun 24, 2025

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

63%63% 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.

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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · 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.

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

37%37% 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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.

Correct prediction on native model

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