Pvent – a CLI tool for sending messages across message brokers

Hacker News

Pvent is a CLI tool for sending messages across different message brokers. It is written in Golang and currently supports writing to Amazon SQS, Google Pub/Sub and Kafka for now. I created this tool to address specific needs encountered while working with these message brokers, such as simulating diverse scenarios like concurrent duplicate message events and evaluating consumer code performance at scale, among others. If you're seeking to replicate similar scenarios, consider experimenting with Pvent and sharing your feedback.

Visit product View on Hacker NewsDec 4, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created, ios · Missing: reddit linkedin, podcasting, latex

61%61% 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 HuntOn track for Day 1 leaderboard · Strong signals: google, code · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, google · Missing: mobile apps, personal, entrepreneurs

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

41%41% 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

41%41% 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

13%13% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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