Si

Simplifying Backend Testing with qapir.io

Hacker News

Simplifying Backend Testing with qapir.io

Backend and API testing can be tedious—especially when dealing with multi-step workflows, deep validation of API responses, and complex edge cases. We've built qapir.io to make this easier, offering a no-code solution for defining and running backend and API tests without writing any code. What It Offers: * No-Code Test Creation – Define backend tests with an intuitive YAML-based syntax. * Support for Complex Scenarios – Easily test multi-step API workflows and chained API calls. * Human-Readable Reporting – Clear, structured test reports that make debugging easier. * Support for multiple protocols - Currently supports plain HTTP and GraphQL, planning to support: SQL, Redis, Kafka, etc. * An actively developing set of features – Upcoming features: Dashboard with Test-Results, Configurable HTTP-Mocks, and a solution for receiving and validating webhooks - Webhook-Interceptor Why Use It: If you need a way to test backend services without maintaining a ton of code, qapir.io provides a simple, structured approach. It’s designed to handle everything from basic API checks to more advanced multi-step scenarios—all while keeping tests readable and easy to maintain. Download it for free at https://qapir.io , and start writing your tests in minutes!

Share card

Actual performance

4points
4comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: supports, ios · Missing: reddit linkedin, podcasting, created
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: code, plain · Missing: mac, agents, macos
68%68% 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: ide, io · Missing: https docs, excited, just released
44%44% 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: ios, way · Missing: mobile apps, personal, entrepreneurs
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, calls · Missing: plus, platform, reviews
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · 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

Similar products

Pa
Pactflow, simplifying microservices testing at scale57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pactflow, simplifying microservices testing at scale

Hacker News2
Na
Napkin.io – Backend in the Browser66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Napkin.io – Backend in the Browser

Hacker News11
Si
Simplifying Pose Estimation with Circular Barcodes40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simplifying Pose Estimation with Circular Barcodes

Hacker News1
Hyzenpro
Hyzenpro71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simplifying AI for Everyone

Indie Hackers1$195/moai
(W
(WIP) A Clang backend for PureScript20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

(WIP) A Clang backend for PureScript

Hacker News1
Sq
Sqlite Backend for Raft66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sqlite Backend for Raft

Hacker News2
La
Lamina – A compiler backend that is not LLVM or Cranelift60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lamina – A compiler backend that is not LLVM or Cranelift

Hacker News5
Yo
Your backend will fail eventually54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your backend will fail eventually

Hacker News3
A/
A/B Testing Backend Using AWS Lambda and Redis HyperLogLog57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A/B Testing Backend Using AWS Lambda and Redis HyperLogLog

Hacker News14
restdb.io
restdb.io47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple online NoSQL database backend

Indie Hackerscommitment-full-time