QA GPT – Write UI tests in plain English powered by GPT-4-Vision

Hacker News

Hey HN, QA GPT enables engineers and QA teams to write UI and functionality tests in plain english. As engineers, we sometimes get a little lazy when it comes to testing the functionality of our changes. It's hard to switch from coder hat to user hat. However, a single bug can significantly impact users experience and satisfaction. Errors found in production aren't just a nuisance; they're costly. The later a bug is discovered, the more expensive it becomes to fix. I built QA GPT as a proof of concept to make writing UI/functionality tests really easy. It's super simple - just write your test case in plain english and run it. For example: - "Test the new sharing functionality by signing in, selecting a user, and clicking share." - "Log in and try adding a product to the cart" - "Create a new card, view the number of the card, and verify the digits match the face of the card" Let me know what you guys think

Visit product View on Hacker NewsDec 12, 2023

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

96%96% 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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% 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 · Strong signals: users · Missing: plus, platform, intuitive

43%43% 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

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.

Incorrect prediction on native model

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