A No-Code API Test Workflow Editor

Hacker News

Hey friends, I've been tinkering with a project and wanted to get some feedback from you all. It's a React-based no-code test case workflow editor aimed at making API testing easier for both QA folks and developers. What It Does: No-Code Testing: Makes it easy for QA people who aren’t into coding and helps developers collaborate. Supports Complex Workflows: Can handle sophisticated environments and workflows. Easy Result Sharing: Makes it simple to share test results and troubleshoot. I've put together a playground where you can mess around with it without signing up: https://www.reapi.com/playground/tests Here is a screenshot: https://www.reddit.com/media?url=https%3A%2F%2Fpreview.redd.... r/react - Built a React-Based No-Code Test Case Workflow Editor – Looking for Feedback! What I Need: Try It Out: Jump into the playground and see what you think. Give Me Your Thoughts: I'd love to hear your feedback on how it works, what’s good, what’s bad, and what could be better. Suggestions: Any ideas or features you think would be cool? I appreciate any feedback you can give. Thanks for checking it out! Cheers!

Visit product View on Hacker NewsJul 13, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: coding, code · Missing: mac, agents, macos

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

79%79% 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: ide, io · Missing: https docs, excited, just released

48%48% 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 · Missing: plus, platform, intuitive

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

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

28%28% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

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