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A little bash script to install the latest Git (2.41.0)

Hacker News

A little bash script to install the latest Git (2.41.0)

Since 2.34 you can use SSH keys to do commit signing, but my Debian 11 only comes with 2.30. This little script is tested on Debian 11, modify as needed: #!/usr/bin/env bash which autoconf || sudo apt install -y autoconf which make || sudo apt install -y build-essential sudo apt install -y libcurl4-openssl-dev libz-dev libssl-dev libexpat-dev gettext asciidoc TMPD1=$(mktemp -d) cd $TMPD1 wget -O git.tar.gz https://github.com/git/git/archive/refs/tags/v2.41.0.tar.gz gunzip git.tar.gz tar -xf git.tar rm git.tar cd git* pwd echo $TMPD1 make configure ./configure --prefix=/usr make all doc sudo make install install-doc cd $HOME rm -rf $TMPD1 echo Git 2.41.0 installed! git --version

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
69%69% 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
51%51% 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, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% 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
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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