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Crudcast – Create and Deploy a RESTful API with a Few Lines of YAML

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Crudcast – Create and Deploy a RESTful API with a Few Lines of YAML

I just created this simple library for creating a RESTful API from a yaml file with just a few lines of text: https://github.com/chris104957/crudcast As a full stack developer, I regularly need to build simple REST APIs quickly in order to build a web app prototype. This library allows me to do this with just a few lines of code, and I am sharing it here in case its of use to anybody else. Effectively, this library turns a yaml file into a Flask RESTful API and implements documentation via swagger. It's very basic right now, and still not yet documented, but I'm planning to add additional feature such as user management, permissions and the ability to insert your own code. Thanks, Chris

Visit productView on Hacker NewsDec 8, 2018
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, code, apis · Missing: mac, agents, macos
78%78% 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
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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