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Sendenv, a CLI tool to share environment variables

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Sendenv, a CLI tool to share environment variables

My weekend project sendenv is a CLI tool that lets you share environment variables securely with someone else. It is built on top of magic-wormhole which allows for safe, account-free data transfer. When you send variables using sendenv, it creates a one-time code. You give this code to the person who needs the variables. They use the code in their shell to load the variables. This is handy for quickly setting up new team members or copying local environment variables to another system. Its currently in alpha obviously, but the core functionality works (I have tested sending vaults from a Macbook Air M1 to a ubuntu ec2 instance). I have a lot of follow up ideas to make this better, but wanted the community's feedback before I invest more time on this. Thanks for reading!

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, new, using · Missing: agents, macos, agent
88%88% 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 · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% 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
25%25% 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
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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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