We made an interactive coloring experience for kids

Hacker News

Hi HN community! Proud to have recently become a founder myself and now to submit a "Show HN". We are Dibulo, a young startup which is on a mission to redefine coloring sessions for kids! We have built our first worlds, sold our first coloring books and now we want to let the world know about us :) So far we have been praised by parents, and also got pretty good feedback from institutions like daycares and elementary school teachers. What sets our coloring experience apart? Not only do we bring vibrant templates on paper to life on screens, but we also introduce a captivating group activity. Picture this: kids enthusiastically coloring away, their creations showcased prominently on a big screen for all to admire. For us it is crucial that the user experience is smooth and easy. Our platform works in pretty much all modern browsers and on all major devices (PC, laptop, tablet, AndroidTV / FireTV). Setting up a coloring session on Dibulo takes less time than a kid can color our templates and uploading is as easy as snapping a picture. You can even share the coloring session with your family and friends and if they like they can participate and upload their drawings too (remotely). Feel free to download and print our free templates and try them with your kids / nephews / at your daycare. Thank you for checking us out! Looking forward to receiving feedback!

Visit product View on Hacker NewsNov 25, 2023

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

78%78% 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: user, activity · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, 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.

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

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

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Strong signals: introduce · 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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