Review Video

Review Video

TrustMRR

Turn customer reviews into polished avatar videos in minutes Review Video turns your real Google, Yelp, Trustpilot and Facebook reviews into short, social-ready videos. Search a business, pick a revie

Turn customer reviews into polished avatar videos in minutes Review Video turns your real Google, Yelp, Trustpilot and Facebook reviews into short, social-ready videos. Search a business, pick a review, choose an AI avatar and voice — get a avatar video in minutes. Ready for Reels, TikTok, Shorts, Landing Pages and Stories.

Share card

Actual performance

Did not reach leaderboard

Traction signals

Domain Rating14

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
88%88% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
66%66% predicted probability of success on BetaList, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, google · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
34%34% 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
33%33% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

VoxSignal
VoxSignal28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customer Reviews System

Indie Hackers1ai
Deep Review by SciSpace
Deep Review by SciSpace59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI co-scientist for literature reviews

Product Hunt+639Productivity
rovvi
rovvi66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn customer reviews into marketing content automatically

Product Hunt+83Sales
Review Reels
Review Reels43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An automated way to collect short video/text reviews from yo

Indie Hackers1b2b
Starvo
Starvo61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn customer feedback into 5-star Google reviews

Indie Hackerscommitment-side-project
Vi
Video Monkey: Unsplash for videos34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Video Monkey: Unsplash for videos

Hacker News3
Cr
Credentialing the Credentials- Reviews for Nanodegrees and Specializations36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Credentialing the Credentials- Reviews for Nanodegrees and Specializations

Hacker News2
Ge
Georgia's Café Reviews45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Georgia's Café Reviews

Hacker News4
Akemi Slim Patch
Akemi Slim Patch13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Akemi Slim Patch Reviews

Indie Hackerscommitment-full-time
Allnet.me
Allnet.me75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reviews about ISP of Ukraine

Indie Hackers1$25/mocontent