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Tiled Words, a daily puzzle inspired by board games and crosswords

Hacker News

Tiled Words, a daily puzzle inspired by board games and crosswords

A week ago I launched Tiled Words, my own unique spin on the daily word puzzle genre. Tiled Words merges tile-placing board game mechanics with crosswords. You rotate and rearrange tiles to find clues and rebuild a broken crossword. Every day there's a new themed puzzle for you to solve. The game is web based: the graphics are SVGs, animations are powered by CSS, and Vue/Nuxt are used to power templating, reactivity, and routing. Most of the complex logic lives in TypeScript modules. The whole thing is responsive. It's been a long time in the making. I started the first version in the Summer of 2024. The game was originally inspired by board games like Patchwork. I wanted to make a digital game where you placed tiles on a board. I explored layering a few different game mechanics on top of that but none of my prototypes felt fun to play, so I shelved the idea around September 2024. (At its most complex, I was developing a deck-building game about planting flowers to heal a broken land.) This July while on a hike with my wife I had an idea: what if I put letters on the tiles and let you rotate and place them to build words. I whipped up a prototype and actually enjoyed playing it. Even better, my friends thought it was fun too. I was convinced to keep going when I shared it online and got a lot of positive feedback from strangers. Since launch I've had several hundred people visit the site every day, and around ~350 people finish the daily puzzle every day. I've gotten a lot of sugI'm hoping to share this with a larger audience since people seem to enjoy it. It's been a lot of fun to design and develop. I enjoy working with my wife to build new puzzles. (She's better at thinking of the clues than I am!) Please share it with your friends and check back tomorrow for a new puzzle! (I hope it's okay that I'm sharing this again. Last time I tried, it didn't get much engagement but the people who did comment seemed interested.)

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, wife · Missing: supports, reddit linkedin, podcasting
93%93% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% 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 HuntOn track for Day 1 leaderboard · Strong signals: new, activity · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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
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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