Cl
Clipipe – pipe data to another machine behind NAT
Hacker NewsClipipe – pipe data to another machine behind NAT
I was thinking it would be nice to quickly send the clipboard to another machine without direct network connectivity. Then I thought why not piping it? Not just the clipboard, but any data. $ xclip -sel c -o | clipipe send $ clipipe receive {code} | xclip -sel c Implemented it using Python for both the CLI and server (FastAPI). Please checkout https://clipipe.io for more info and https://github.com/amirkarimi/clipipe to see the source code.
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, using, code · Missing: agents, macos, agent62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released60%60% 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, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting41%41% 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, intuitive35%35% 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, revenue15%15% 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, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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