Thunder Client CLI – A new way to test APIs in VSCode

Hacker News

Hi - I am creator of Thunder Client CLI, which helps you to test APIs from Terminal. In 2021 we launched Thunder Client extension for VSCode which was game changer, as we were the first to launch a GUI based API Client inside VSCode. Today we are launching Thunder Client CLI which will have many new innovative features for API Testing. Key Features - Simple & Easy to Use CLI tool - Seamless Integration with Thunder Client Extension - Run Requests/Collections and View Test results - Syntax Highlighting and VSCode Themes - Open Request/Collection UI from the terminal - Enhances CURL commands - CI/CD Integration

Visit product View on Hacker NewsFeb 28, 2023

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

79%79% 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.

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

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, 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

35%35% 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: way · Missing: mobile apps, ios, personal

33%33% 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

17%17% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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