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Regex101 - Interactive regular expression learning tool and builder

Hacker News

Regex101 - Interactive regular expression learning tool and builder

Hello! I have long been at work with my site which purpose is to provide a free of charge service where you can learn and create your regular expressions. I have pretty much just thought to myself "What would I like?" and then implemented that. What do you guys think? All form of feedback is appreciated. Note: For those who are familiar with the service 'rubular' will see that my front page has some similarities. I just want you all to know that I have spoken with the author of rubular and told him if there ever is any problem I will fix it accordingly. I have also included him in the credits and linked to his site. I don't want you to think that any of my hard work is plagiarism. Thanks in advance!

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Actual performance

3points
4comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
52%52% 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
47%47% 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
46%46% 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
11%11% 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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