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Quickly copy a file between computers

Hacker News

Quickly copy a file between computers

Hey everyone, just wanted to share a quick project I built a bit ago and finally cleaned up enough to post. The premise is simple, you have a file on one computer that you want on a different computer on the same network and don't want a lot of fuss. For the file you want to copy, on the machine where the file is located, run: ./bcp filename Now go to the computer (on the same network) where you want the file to be at, and run: ./bcp The file will be copied over the network and you're done. I created it as a nice way of not having to worry about ssh or anything else really. In fact, it is so simple, I use it on my local machine a lot when hopping around between terminals instead of remembering paths. I have tested it on OSX and Linux. Suggestions and comments welcomed.

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, computer · Missing: agents, macos, agent
82%82% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
35%35% 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
18%18% 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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