VidPenguin2

AppSumo

VidPenguin2 is appreciated for its time-saving capabilities, user-friendly interface, and effective video syndication. Some users mentioned a slight learning curve and the possibility of achieving similar results manually. With an overall rating of 4.7, VidPenguin2 seems to be a solid buy for those in need of video ranking software. With a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoSep 13, 2021

Share card

Actual performance

19reviews

Did not reach leaderboard

Traction signals

Rating4.8 / 5

Purchases1,004

Launch Intel predictions

Analyze your own launch →

AppSumoStrong fit for a featured deal · Strong signals: friendly, interface, overall rating · Missing: plus, platform, intuitive

83%83% predicted probability of success on AppSumo, 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% 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

35%35% 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

14%14% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

FocuSee90%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers appreciate FocuSee for its user-friendly interface, stunning video results, and time-saving capabilities. Some users have reported slow export times and occasional audio issues.

AppSumo64

Divjoy85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers appreciate Divjoy for its time-saving capabilities, comprehensive codebase, and user-friendly interface. While some users have expressed concerns about outdated packages and lack of updates, the overall sentiment is positive.

AppSumo16

Rewording73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rewording has been praised for its effective paraphrasing capabilities, user-friendly interface, and responsive customer support. However, some users have experienced challenges with the plagiarism tool and grammar checker.

AppSumo9

Reportz81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers are all about Reportz, praising its user-friendly interface, quick setup, and beautiful reports. The tool's seamless integrations and time-saving capabilities are also big hits.

AppSumo103

Linked Booster85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers appreciate Linked Booster for its efficient automation, time-saving features, and user-friendly interface. Some users have reported minor issues with data retention and mobile accessibility.

AppSumo38

Labrika88%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Labrika is appreciated for its comprehensive SEO audit capabilities, user-friendly interface, and valuable technical insights. Some users have encountered minor issues with data integration and interface modernization.

AppSumo157

Alphana78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Alphana has received positive feedback for its time-saving capabilities, versatile content output, and user-friendly templates. Users appreciate its ability to effortlessly generate over 30 content types from a single video.

AppSumo112

Zocket76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers appreciate Zocket for its powerful AI capabilities, user-friendly interface, and ongoing updates. Some users have noted limitations in ad customization and campaign management.

AppSumo8

Vumu91%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vumu has received positive feedback for its user-friendly interface, personalized video outreach capabilities, and responsive customer support. Some users have reported encountering minor bugs and limitations.

AppSumo80

Email Sequences77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers appreciate Email Sequences for its easy setup, AI tools for A/B segments, and effective outreach capabilities. However, some users have noted concerns about the outdated user interface and occasional confusion with plan details.

AppSumo18

Browse all products Analyze your launch