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Use Python docstrings as exception messages

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Use Python docstrings as exception messages

The following exception @dataclass class PodBayDoorsStillClosed(DocumentedError): """ I’m sorry, {self.user_name}. I’m afraid I can’t do that. """ user_name: str when raised as raise PodBayDoorsStillClosed('Dave') will print PodBayDoorsStillClosed: I’m sorry, Dave. I’m afraid I can’t do that. Reduce the boilerplate, use more exception classes to better express the business logic, or invent your own use cases :) Can be tried out as: pip install documented which works for Python ⩾ 3.8.1.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% 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: io · Missing: https docs, excited, just released
50%50% 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 · Missing: plus, platform, intuitive
47%47% 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
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

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