Create presentations with smart animations using Excalidraw

Hacker News

I often create presentations where elements need to move (animate) from one slide to the next. This is great for explaining algorithms, workflows, or anything that benefits from dynamic visuals. I used to rely on Figma prototypes with smart animations for this, but I wanted a way to do it in Excalidraw—maybe even more conveniently. So I made an Excalidraw fork which helps you present "frames" and interpolates animations between them. Video demo (detecting cycles in a graph): https://github.com/user-attachments/assets/62033fca-03ca-489... Instructions, tips, and current limitations: https://github.com/excalidraw-smart-presentation/excalidraw-... Try it: https://excalidraw-smart-presentation.github.io/ Personal plug: I'm also currently looking for a full-time job. If you know of any opportunities or can refer me, I'd really appreciate it.

Visit product View on Hacker NewsMar 29, 2025

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

74%74% predicted probability of success on Product Hunt, 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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

43%43% 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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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