vidBoard

AppSumo

vidBoard.ai has received positive feedback from customers, who appreciate its user-friendly interface, AI-powered features, and efficient support. The platform simplifies video creation with its intuitive interface and automated script syncing and voiceovers. While there have been some minor issues such as file size restrictions and limited editing capabilities, overall, vidBoard.ai is a solid choice for those seeking a versatile video creation tool. Given its refundable nature, it's definitely worth giving it a try.

Visit product View on AppSumoApr 13, 2026

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Actual performance

105reviews

Made the leaderboard

Traction signals

Rating4.6 / 5

Purchases372

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: platform, intuitive, friendly · Missing: plus, reviews, host

84%84% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% 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

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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