awk commands for `union`, `intersect`, `except`, `extra`

Hacker News

I'm munging text and I wrote these awk commands that may be useful to other coders. Feedback welcome. union (https://github.com/sixarm/union): print lines in (A union B) intersect (https://github.com/sixarm/intersect): print lines in (A intersect B) except (https://github.com/sixarm/except): print lines in (A except B) a.k.a. (A - B) extra (https://github.com/sixarm/extra) : print lines in (A extra B) a.k.a. (B - A) Examples: $ cat 1.txt alpha bravo $ cat 2.txt alpha charlie $ union 1.txt 2.txt alpha bravo charlie $ intersect 1.txt 2.txt alpha $ except 1.txt 2.txt bravo $ extra 1.txt 2.txt charlie

Visit product View on Hacker NewsJan 31, 2017

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Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% 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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos

19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

17%17% 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, revenue

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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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