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Text-to-Regex. Shows Assumptions.

Hacker News

Text-to-Regex. Shows Assumptions.

Text to Python `re` regex converter using GPT-3 that: - States assumptions / what it has understood. - Example: `Match any text file.` - >`Match a string that can contain anything at the beginning, but must end with one of ".txt", ".csv", ".tsv", ".rtf", ".log”.` - Lets you test the resulting regex on a string easily GitHub: https://github.com/llmhub/text-to-regex Open-source prompt: https://www.llmhub.com/2/functions/21/share

Visit productView on Hacker NewsDec 14, 2022
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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using, open · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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