Slack app to play 1000s of quizzes right inside Slack

Hacker News

Hey HN, excited to be showcasing Trivia. Quick context: At Springworks (our company), we moved to WFH from mid-March and then announced our remote-first policy on May 6th. We’ve been since optimizing our home offices and our Slack workspace for productivity and testing lots of team-building activities. We saw lots of traction with Quizzes, but they required fixing up a timeslot, downloading a separate app and conducting the quiz over a Zoom call. That’s when we decided to build a Slack app for quizzes inside Slack. Introducing Trivia! https://www.producthunt.com/posts/trivia-for-slack With Trivia's suite of quizzes, you can bring Social & Fun back to your workspace (right inside Slack) even while working remotely. Trivia quizzes are fun, easy to launch, and provide a quick 5-minute break to your workday. MCQs - multiple choice questions with 4 answers each across topics like science, tech, business, movies, entertainment, and even Maths and Grammar. Look out for the GoT, The Office and Harry Potter quizzes as well. Seamless - play with your team anytime, anywhere right on top of Slack Multiple game types (coming soon) - for variety Leaderboards (coming soon)- track results real-time along with final podium standings showcased at the end. Check out the video for a walkthrough of how it works (watch at 2x speed): https://www.youtube.com/watch?v=eCnQLbGeUNU Try it out. It’s free for the first 10 quizzes and 7 days. PS: Trivia for MS Teams is coming soon too!

Visit product View on Hacker NewsJun 19, 2020

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

81%81% 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.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: slack, context · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, 000 · Missing: https docs, just released, exist

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% 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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