TULP – A cli tool that combines ChatGPT with POSIX, like stdin2gpt

Hacker News

I created TULP, an command-line tool that combines the best practices of POSIX tooling with the power of AI. By connecting stdin and stdout directly to chatGPT, TULP allows you to process input data using natural language instructions. Think of it as the ultimate replacement of sed, grep, jq and more, with the a smart AI that help make sense of the piped data. Although TULP is still in the early stages, it has already proven to be an indispensable tool in my daily workflow. Whether I'm translating or correcting piped text, reviewing code, writing small snippets of code, or extracting data from files, TULP streamlines the process like never before. And because it's just a command, it integrates easily with emacs/vim or any other tool that you may use. I welcome your feedback as I continue to develop it to make it even more useful.

Visit product View on Hacker NewsApr 14, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, chatgpt, using · Missing: agents, macos, agent

77%77% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, smart · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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