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Awsmux – Multi-account AWS CLI, up to 5.4x faster, 7.4x fewer tokens
Hacker NewsAwsmux – Multi-account AWS CLI, up to 5.4x faster, 7.4x fewer tokens
awsmux fans one AWS CLI command out across hundreds of accounts and regions in parallel and merges the results into a single stream. There's an MCP server built in for agents. In a 150-session benchmark, agents using awsmux beat agents using the raw AWS CLI in every test: up to 5.4x faster, up to 2.9x cheaper, up to 7.4x fewer tokens. Single Go binary, stdlib plus cobra only. Feedback welcome.
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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, mcp · Missing: mac, macos, cursor83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released41%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 · Strong signals: plus · Missing: platform, intuitive, reviews30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto23%23% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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