KeepSolid Sign 1.0 – a new Docusign competitor

Hacker News

Hi everyone, my name is Julia and I work with KeepSolid Sign - a new eSignature app for Mac, Windows, iOS, Android and browsers. It is an alternative to other big guys our there, like Docusign, Adobe Sign and actually allows you to manage and work with your documents when there is low or no internet connection. We just released out v1.0 version before a successful beta of the product and now are trending on Product Hunt https://www.producthunt.com/posts/keepsolid-sign Posting here I am hoping to get some feedback on this version from people who actually need to sign documents from time to time or have used one of the competitor's apps. We offer a 14-day free trial and 20% discount now on Product Hunt. Let me know what you think, if you like it. Thank you.

Visit product View on Hacker NewsFeb 15, 2018

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

83%83% 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: ios, apps · Missing: mobile apps, personal, entrepreneurs

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

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

58%58% 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: just released, io · Missing: https docs, excited, exist

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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