Bog Gobbler Word Game

Hacker News

Two years ago my pandemic project was an online multi-player variant of Scrabble named Crossword Island Hopper where you capture territory by placing words on a board. It proved to be wildly unpopular. More recently I have been working on Bog Gobbler, which is a variant of Boggle where you capture territory by finding words in the grid. The territory-capture element is much more relevant in the multi-player game, but also affects the mechanics of solo games. This one is a little more popular and there is a daily solo challenge where everyone plays the same grid, with a global and personal leaderboard. You can go directly to the daily challenge at: http://crosswordislandhopper.com/dailyChallenge If you know how to play Boggle the one thing you need to be aware of is that after the first word you find, all subsequent words must include at least one letter that you already "own".

Visit product View on Hacker NewsAug 13, 2022

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Did not reach leaderboard

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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

14%14% 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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