Canvas Language Animations – Add little animations to pictures

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Hello. I've been working on Canvas Language (SCL) for over 10 years, mostly as a side project. A few years ago I launched https://EditableGIFs.com (EG) using SCL to program the animations and let users easily customize the gifs. Last week I was making a little promo video for EG using Flickify. I couldn't find a way to add an animation over an image so I went back to one of my old SCL projects, made some changes, and now there is this studio https://canvaslanguage.com/studio The purpose of this studio is to add little animations to pictures, then download the animations as little videos for incorporation into larger productions. In the help section of the studio (examples), there is a link to a video where I used 4 of the animations templates (pointer, falling arrows, opening curtains, and horizontal slideshow). Editable language code is under the Advanced tab. Trouble is, I'm not sure that there is a market for this (adding animations to pictures). I know there is Canva and Adobe, etc, but I can make arguments to why this is a nice alternative. So I'm just wondering, is it worth making a dedicated site out of this? Would love your feedback on the studio, but maybe even on SCL in general as I hope to expand it to more niches. Thank you.

Visit product View on Hacker NewsFeb 22, 2023

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, using, code · Missing: mac, agents, macos

82%82% 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: ide, io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · 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 · Strong signals: arr · Missing: mrr, revenue, profit

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