I'm building a tile map editor

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...and posting my progress on youtube. Lately I've been trying to get some money going from my side projects (released a game on android supported by ads). I don't think recording me writing code is very appealing, so what I've been doing is after I add a new feature to my tile editor I'm posting a video showing the feature. I don't really know what I'll do with the tile editor after (besides using to create my games). The videos are also helping me with my english. I used to be fluent when I was younger (and have conversation with actual people from school), now I just listen and barely speak, so the video is helping me with my pronunciation. Anyways, here's the link if you're interested: Part 1: https://www.youtube.com/watch?v=bzbs3rIJ-t8 Part 2: https://www.youtube.com/watch?v=iZzxaNkQPCw

Visit product View on Hacker NewsMar 25, 2020

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3points

3comments

Did not reach leaderboard

Launch Intel predictions

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

84%84% 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: new, using, code · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

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

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

50%50% 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

49%49% 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

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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