Jurnit – Turn your passion into playable missions

Hacker News

We’re building an experiential tech platform that helps the next generation shift from passive consumption to active creation through gamified missions rooted in their passions. Think of it like this: what if the world around you became your game board? Whether it’s a street photography hunt in Tokyo, hike the highest mountains of Chile challenge, travel in all the countries of Europe itinerary or a quest to play music in every metro station of Paris — if you can imagine it, you can turn it into a mission, play it ans challenge others to do it. Jurnit lets you create, join and share missions that push you physically and mentally. It transforms everyday life into a multiplayer experience, where creativity, curiosity and courage are the only entry tickets. And the twist? You’re not just doing it alone. You can challenge others to complete your missions, compete for XP, unlock rewards and leave behind a trail others can follow. We’d love feedback on the onboarding flow, mission creation process, and what features you think are missing. Join our waiting list here: https://jurnit.app Happy to answer questions and discuss your ideas!

Visit product View on Hacker NewsJun 28, 2025

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2points

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Launch Intel predictions

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

80%80% 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: physical · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

31%31% 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 · Strong signals: active · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: reward · 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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