Laper

TrustMRR

Laper is an all-in-one creative OS for screenwriters, directors, and storyboard artists—Cursor, CapCut, and Figma for visual storytelling. It unifies the entire film and television workflow, powered b

Laper is an all-in-one creative OS for screenwriters, directors, and storyboard artists—Cursor, CapCut, and Figma for visual storytelling. It unifies the entire film and television workflow, powered by an AI agent that operates under the user’s direction. A comparable product, preiview.io, recently raised a $12 million seed round. Laper grew from a solo founder to a five-person team and continues to scale rapidly.

Visit product View on TrustMRRSep 28, 2025Artificial Intelligence Software B2C

Actual performance

1,334customers

$44,368MRR/mo

Made the leaderboard

Traction signals

Domain Rating25

MRR growth 30d+29.7%

Launch Intel predictions

Analyze your own launch →

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

95%95% 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.

TrustMRRFits verified-revenue profile · Strong signals: para · Missing: mobile apps, ios, personal

66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

22%22% 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

20%20% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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