VREST NG v1.1.0 Release

Hacker News

* vREST NG v1.1.0 release With added support of OpenAPI 3 makes you easily validate your tests against OpenAPI 3 schema. With this release, you will be able to import OpenAPI 3 schema files and it makes Data Driven Testing more easy. [Contact us](https://ng.vrest.io/contact) for your enterprise testing needs, come up with feature requests and you will find it in our upcoming releases. Stay tuned. New Features - OpenAPI 3 Import option has been added. - OpenAPI 3 schema validation has been added. For more information, please read our [guide link](https://ng.vrest.io/docs/app/advanced-response-validation/schema.html). Bug Fixes - Select custom Environment and then change project related bug fixed. - During Swagger import, request body related bug fixed. Improvements - Disabled option `Generate data driven tests` from community edition to remove ambiguity. - Command execution errors are now shown in the Results tab. Detailed command execution logs can be seen in the Logs tab.

Visit product View on Hacker NewsDec 25, 2019

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

73%73% 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: new, open · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, 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

26%26% 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

23%23% 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

18%18% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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