PipeGears is a new project that's now in beta and needs your feedback

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Hi Everyone, PipeGears http://pipegears.com is new platform for creating and running Web or Mobile Application Backends and API Microservices quickly and easily. With PipeGears, creating a REST API can be done in a matter minutes by snapping it together from a rich set of prebuilt components, simplifying the process of connecting with databases, communicating with 3rd party services, integrating with social media, or creating powerful business logic. It was conceived from an idea that I've had brewing in my head for several years, and I've finally gotten around to building it. I now have what I believe is a minimum viable product to launch a startup, but I need your help to validate this assumption. I'm currently open for beta, but I'd also value feedback just on the website and messaging. To those who would be potential target users, does it look compelling enough? Would you consider using this platform to build something in the real-world, or is it better suited as a prototyping tool? What would you consider to be reasonable pricing? What are some ideas for projects that you would build with this? I'm looking forward to any feedback, or word of mouth if you know of someone who might be interested. Many thanks!

Visit product View on Hacker NewsSep 18, 2018

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

86%86% 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: user, new, using · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% 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, users · Missing: plus, intuitive, reviews

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

12%12% 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.

Incorrect prediction on native model

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