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RegExd | A JavaScript Regular Expression Builder, Tester, Formatter

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RegExd | A JavaScript Regular Expression Builder, Tester, Formatter

Hey guys, I just finished putting together a(nother) web based regular expression tool for JavaScript. When working with regular expressions I've always found them tough to read when single line formatted. Debugging is also time consuming trying to look for syntax errors. RegExd auto-formats single line regular expressions into multiple lines with indentation to make it easier to drill down into each part. If an expression doesn't compile, it searches for the longest valid sub-expression and highlights the error. There's also a few other features, but I'll leave those to be discovered. Feedback is appreciated!

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Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos
79%79% 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.
Hacker NewsStrong engagement from HN community · Strong signals: 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
40%40% 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
14%14% 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.

Incorrect prediction on native model

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