Free Custom Branding at RabbitSign

Hacker News

Hi HN, I’m Stanley, founder of RabbitSign, an unlimited free e-signing service. (Not just a free trial or a free tier—completely free.) We launched this service in response to the increased demand for e-signing during the COVID pandemic, prioritizing social good over profits. RabbitSign recently launched Custom Branding, a feature that empowers users to personalize their signing requests with their own logos. Custom Branding is typically a paid feature for both e-signing services and platforms in other industries. We've decided to offer it for free, in line with our commitment to serving the social good ahead of making profits. If you're curious about how RabbitSign remains sustainable as a free service, we've leveraged AWS Serverless technology, reducing the operating cost of processing 1000 document signings to less than $1. An AWS Well-Architected Review has even described RabbitSign as a "remarkably well-architected workload" and "one of the most efficient and secure accounts" they've ever reviewed. AWS will soon feature RabbitSign in a case study highlighting its efficient use of Serverless and compliance-related services. Please feel free to reach out to stanley@rabbitsign.com if you have any questions or feedback!

Visit product View on Hacker NewsSep 14, 2023

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon, efficient · Missing: plus, intuitive, reviews

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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