Ezy – open-source gRPC client, alternative to Postman and Insomnia

Hacker News

In this release I have concentrated on user experience: - Full support of shortcuts - Reworked collections management - Notifications - Improved UX gRPC clients I’ve worked with had drawbacks and didn’t fit my use-case in a way I was expecting, since I’ve started working with gRPC 3+ years ago. Since then, I wanted a tool that fits any need in gRPC world. This is why I created ezy. Compared to Insomnia and Postman, ezy offers better streams support, allows you to use Server-Side and Mutual TLS with custom TLS certificates, works with gRPC-Web and has a more slick UI/UX. If you are looking for a gRPC/gRPC-Web client which fits your needs, give ezy a chance! I’d love to hear your feedback and answer any questions regarding ezy.

Visit product View on Hacker NewsDec 8, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · 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, open · Missing: mac, agents, macos

81%81% 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, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

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

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

9%9% 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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