I spent 2 years building Tablane as a 17-year-old

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Hi HN community, I'm Marcus, a 17-year-old Software Engineer from Germany. For the past two years I've been working on Tablane [0]( https://github.com/Tablane/tablane ) a task/project management tool, with features like: - Collaborative Editing (google docs) - Optimistic updates with RTK Query - Realtime sync with Socket.io - An awesome design Let me know what you think! Ask me anything! How I got here: 2020: I was developing a TTT [1] (Trouble in Terrorist Town) plugin for my minecraft server, when I started to require a project management tool to keep track of the features I wanted to implement, originally I used a text file, but after some time I started using products like ClickUp and Monday. But not long after I hit several paywalls for features that I wanted to use (Custom Status, Limited Number of Boards, ...) Soon after Tablane (originally task-board) was born. I started building the website using plain HTML, then found out about React and completed Colt Steele's "Web Developer Bootcamp" [2] and "The Modern React Bootcamp" [3] and started re-writing Tablane in React, and started adding feature after feature. Now I am about to finish Highschool and originally I thought about applying to college and spending another 3-5 years there, but after the positive feedback I got on a three month internship I did at ContentPepper, and seeing how my own projects developed, I decided to look for open Developer positions, to work with a team of experienced developers so I can learn even faster. Links: [0] https://tablane.net [1] https://github.com/MarconLP/TTT [2] https://www.udemy.com/course/modern-react-bootcamp/ [3] https://www.udemy.com/course/the-web-developer-bootcamp/ Socials: Résumé/CV: https://drive.google.com/file/d/1CbZi1Bm-MlDHEb4WjsFBzIBSomJ... LinkedIn: https://www.linkedin.com/in/marcus-hof/ Email: marcus (dot) hof (at) protonmail (dot)com GitHub: https://github.com/MarconLP Twitter: https://twitter.com/Marcon565

Visit product View on Hacker NewsJan 6, 2023

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

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.

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

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, email, project management · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

Acquire.comPre-revenue stage for this audience · 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 · 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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