I

I Made a Playwright Recorder

Hacker News

I Made a Playwright Recorder

Playwright comes with a recorder, however I had a few killer features I wanted/needed: 1. I need a repl to execute the "next lines of code" live, either in vscode or the browser. Without this I have to restart the entire test to get to the end and try the next line. 2. I need to be able to configure the selector to match application or lib specific UI pieces One-size-fits-all selectors isn't working well for my company's SPA 3. I need this to generate test code as good as I would write This means awareness of the page-object-model, and not just emitting raw selectors into my test As far as I'm aware these 3 killer features aren't out there in the web automated test world. I tried to find them. When I couldn't I began writing my own. I got the go-ahead from my workplace to continue implementing it, dogfood it, and even have it open sourced and published on npm. @dnvgl/playwright-live-recorder feedback appreciated!

Visit product View on Hacker NewsSep 22, 2022

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81%81% 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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

10%10% 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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