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LockDB now natively supports acting on multiple locks

Hacker News

LockDB now natively supports acting on multiple locks

LockDB is a cross-platform tool you can use to handle process/event locking and avoid race conditions. It is sometimes also known as a semaphore. There are packages for Node.js / Browser / Bun / NPM, Deno, and you can also use it as a CLI. The new LockDB release supports a feature request common for complex locking necessities: The ability to lock, unlock, and check multiple locks. I understand new features aren't _generally_ accepted [1] here, but this one seemed "juicy" enough for it. Feel free to remove the post if I'm wrong, and I apologize in that case! [1]: https://news.ycombinator.com/showhn.html

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3points
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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
70%70% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
40%40% 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
34%34% 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
12%12% 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.

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