Saas Ninja – sales, monitoring and development tools for Saas Products

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Hey HN I’m Daniel, a fullstack developer from Sydney Australia and founder at Saas Ninja ( https://saasninja.io/ ). Saas Ninja provides a suite of simple tools/APIs on a monthly subscription basis that help Product Teams sell, monitor and develop their Saas Products. The idea for Saas Ninja came during my last employment contract working for a startup. We needed a number of monitoring tools for our product and each provider I researched was often over-complicated for what we wanted and was priced more towards a monitoring connoisseur than a startup developer. With looming deadlines and minimal funding, I couldn’t justify building them ourselves, yet I also didn’t want to pay $40/month every time we needed a new tool. Saas Ninja solves this problem by providing a suite of Sales, Monitoring and Development tools for a single monthly subscription payment. The tools are all accessible through a standard API which means one integration point, and hopefully means your team can get right back to focusing on core business. My intention is to provide low cost, reliable and basic functionality that is easy to understand and distraction free. I want to build Saas Ninja up to be the AWS of value-add Sales, Monitoring and Development APIs. This is my first developer-focused product launch. I’ve read a lot about how this market is very different so I’m excited to learn as much as I can. Please feel free drop your feedback below or if you have a minute fill out this Google form link (there's only 5 questions): https://docs.google.com/forms/d/e/1FAIpQLSfCdmfzNeh2MgnyjPg0... This is the Public Beta release and all accounts have limited free access to an initial suite of 10 tools for this launch. Please have a look around and hopefully I hear from you soon. BTW Today also happens to be my 35th birthday ;)

Visit product View on Hacker NewsAug 1, 2018

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

91%91% 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 HuntOn track for Day 1 leaderboard · Strong signals: google, new, single · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

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

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

20%20% 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

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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