A simple echo server for testing HTTP clients

Hacker News

I have developed an application called "echoserver" and I would like to share its details on Hacker News. The purpose of "echoserver" is to simplify the testing of HTTP clients. It functions as an echo server, meaning it responds to requests by echoing back the received data. This allows users to simulate various server responses and test their HTTP clients accordingly. With "echoserver," users can generate custom responses by specifying the desired status code, headers, and response body. This flexibility enables thorough testing of HTTP clients and simplifies the process of verifying client behavior under various scenarios. Whether it's testing error handling, handling specific headers, or evaluating performance under different response sizes, "echoserver" provides a convenient solution. Overall, "echoserver" aims to streamline the testing process for developers and enhance their ability to verify the functionality and robustness of their HTTP clients. Its simplicity, versatility, and user-friendly interface make it an invaluable tool in the development and testing workflow. I invite the Hacker News community to explore and provide feedback on the app, as I believe it has the potential to greatly benefit developers and testers worldwide.

Visit product View on Hacker NewsMay 21, 2023

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

84%84% 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.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, interface, users · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, code · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, hacker news, ide · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

11%11% 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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