Grabsign

AppSumo

Grabsign is appreciated by customers for its ease of use, professional audit trail, and reliable performance. Some users have reported issues with the UI for adding fields and occasional bugs.

Grabsign is appreciated by customers for its ease of use, professional audit trail, and reliable performance. Some users have reported issues with the UI for adding fields and occasional bugs. With a 3.9 overall rating and 59 reviews, Grabsign is a promising e-signature app. With a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoOct 20, 2020

Share card

Actual performance

69reviews

Made the leaderboard

Traction signals

Rating3.6 / 5

Purchases2,639

Launch Intel predictions

Analyze your own launch →

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

89%89% 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

69%69% 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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, 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

27%27% 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

21%21% 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

21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Find bugs before your users do50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find bugs before your users do

Hacker News64

Innerbox44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Onboard your customers with ease.

Indie Hackers2b2c

UI Replicator67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers appreciate the UI Replicator for its ease of use, value for money, and time-saving capabilities. Some users have reported issues with cloning certain web pages and a lack of support from the developers.

AppSumo10

QuoteHard33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A professional Quoting system will get you more customers.

Indie Hackers

QuoteHard30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A professional Quoting system will get you more customers.

Indie Hackers1productivity

QuoteHard39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A professional Quoting system will get you more customers.

Indie Hackerscommitment-side-project

Performance Audit of Panda app33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Performance Audit of Panda app

Hacker News4

Ng-classy – Use Angular 1 and ES6 with ease38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ng-classy – Use Angular 1 and ES6 with ease

Hacker News23

VideoToPage93%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VideoToPage has been praised by customers for its accurate transcription, versatile content generation, and interactive features. Some users have reported minor issues with the interface and occasional bugs.

AppSumo33

AvoMap73%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 AvoMap, praising its ease of use, responsive developer, and continuous updates. There are a few hiccups like additional costs for certain features and minor UI issues on mobile.

AppSumo21

Browse all products Analyze your launch