A

A JSON-based CUI HTTP client with a variable expansion functionality

Hacker News

A JSON-based CUI HTTP client with a variable expansion functionality

I just released `ycurl`, a JSON-based cross-platform CUI client for HTTP testing with a variable expansion functionality. `ycurl` is in some sense a CUI-version of Postman, Insomnia, etc. It is written 100% in Rust. The most notable feature is variable expansion. Here's a sample (part of) JSON which defines a request body via variable expansion. ```json "variables": { "birthday": "0725" }, "body": { "name": "Mike", "email": "mike_${birthday}@example.com", "birthday": "${birthday}" } ``` Another feature is pretty-print and syntax highlighting for the response body, like in `curl | jq`. Give it a try :)

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: just released, io · Missing: https docs, excited, exist
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% 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
16%16% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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