Pw

Pwoli.js – A Yii2-like framework for Node.js

Hacker News

Pwoli.js – A Yii2-like framework for Node.js

Hello all, Introducing Pwoli.js - a NodeJS/Typescript framework that can work independently or in coordination with frameworks like ExpressJS, Hapi, etc. The main features of Pwoli are: - ActiveRecord ORM Pattern. - DataProviders which facilitate providing collections of data sorted/filtered/paginated according to the current request and context. - Widgets like GridView, ListView, etc. which are already filterable/sortable/paginatable. - ActiveForm which is already validatable according to the Model(s) connected to it via - client-side, ajax, or page submit. - HTML helpers for rendering dynamic UI elements in one-liners. - Easy to set up REST APIs that are already filterable/sortable/paginatable. - Support for ORM Adapters for connecting to any kind of Database(with SequelizeAdapter(MySQL, PostgreSQL, MSSQL, SQLite) ready out of the box) You can understand most of the features by seeing the how-to-use GIF animations we've displayed here: https://codespede.github.io/pwoli We are also inviting contributions to this framework in the form of Unit Tests, Bug Reports/Fixes, Feature Implementations, etc. so that you too can become a part of Pwoli! https://github.com/codespede/pwoli Please don't forget to 'star' the repo if you like it!

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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: model, context, code · Missing: mac, agents, macos
84%84% 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 · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
69%69% 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 · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: widgets · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
12%12% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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