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Animate your photos into motion videos

Hacker News

Animate your photos into motion videos

Simply upload your image(s) and pick the desired motion settings to create eye-catching videos! We are launching our AI creators platform and would love to hear your feedback on. You will have free credits once you sign up to explore various capabilities. Motion settings include shape, range, length, and loops. You can also try AI motions with optional text prompt and quantity so you can iterate faster. Furthermore, we provide a batch form where businesses & creators can drop their entire images’ catalog and process them at scale saving them a lot of time and cost. Let us know what you think and how we can improve to serve your needs! We also provide API to simply integrate our image animation capabilities in businesses' creation pipelines, apps, and websites. Please reach out to me to give you early access to test from within your system.

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Actual performance

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Launch Intel predictions

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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.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, video · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
29%29% 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
13%13% 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.

Incorrect prediction on native model

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