I built a Jeopardy game maker with buzzer support

Hacker News

Sometime in early 2022, my wife and I started watching Jeopardy! regularly, almost by accident. Inspired, I thought it would be fun to create and host my own games with family and friends. By September 2022, I debuted Buzzinga at a family reunion. Back then, it was just a website running locally on my MacBook. It was a total blast, and I knew this was something the world should enjoy too. I launched Buzzinga.io in December 2023 and have been rolling out regular updates for our 2000+ users ever since. Features: - Built-in buzzer support (phones and physical buzzers) - Automatic scorekeeping - User-friendly host controls - Highly customizable - Supports multiple clue types: text, image, audio, and video The site does not require sign up to play around with, only to create your own games.

Visit product View on Hacker NewsJul 14, 2024

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

94%94% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, user, new · Missing: agents, macos, agent

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: host, friendly, users · Missing: plus, platform, intuitive

76%76% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, users · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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 · Strong signals: audio · 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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