Ak

Akari, a fun little grid logic puzzle with daily challenges

Hacker News

Akari, a fun little grid logic puzzle with daily challenges

Akari is a little puzzle app I created in my spare time. The underlying game principle is called "Light Up" and was created by the Japanese puzzle publisher Nikoli. The rules are pretty straightforward: You have to fill a grid with bulbs. Each bulb brightens its row and column until obstructed by a black cell or the grid's edge. The black cells may have numbers indicating how many bulbs must surround them, adding to the strategic depth. As you will quickly notice, the placement of the bulbs becomes quite tricky and you have to use logical exclusion methods to get your grid filled.

Visit product View on Hacker NewsJun 12, 2024

Actual performance

2points

1comments

Did not reach leaderboard

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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

52%52% 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

42%42% 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

35%35% 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

18%18% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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