A

A Functional and Reactive Framework for Node Back-Ends

Hacker News

A Functional and Reactive Framework for Node Back-Ends

Hey all, I couldn't find a framework that embraces FRP/RxJS for Node yet, like we have Cycle.js for the front-end [1]. Thus, I've been toying with the idea of working out what this could look like myself for a while. The result is Molen: https://www.npmjs.com/package/molen The main goal of this project is to find out whether it makes sense to give Observables such a central role in Node applications and, if so, what API would be most comfortable. So far, I think it has potential, but I'd like to invite everyone who is enthusiastic about FRP or RxJS to give it a look and perhaps even a try, and to let me know what you think of the current API. (And to pre-empt some criticism: when I use the term FRP I refer to reactive programming using functional methods, not DCTP. [3]) [1] https://cycle.js.org/ [2] https://github.com/Vinnl/molen-example-event-sourcing/ (it does not actually have anything to do with event sourcing yet, sorry) [3] https://stackoverflow.com/questions/5875929/specification-fo...

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, 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
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% 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
35%35% 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
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
10%10% 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

Similar products

Hi
HighFin.js App Framework for node.46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HighFin.js App Framework for node.

Hacker News3
NB
NBLAS, Node C++ bindings to CBLAS36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NBLAS, Node C++ bindings to CBLAS

Hacker News13
Sc
Scaffold out a modest node module27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Scaffold out a modest node module

Hacker News3
Th
This is a valid node module30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

This is a valid node module

Hacker News2
Na
Nact – Actor System for Node and ReasonML42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nact – Actor System for Node and ReasonML

Hacker News11
no
node-scrunch42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

node-scrunch

Hacker News1
Mo
MongoSync for Backbone/Node42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MongoSync for Backbone/Node

Hacker News2
No
Node Knockout 2013 entries28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Node Knockout 2013 entries

Hacker News1
no
node-mongoose-fixtures42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

node-mongoose-fixtures

Hacker News1
As
Assert.env: one fell swoop loading and asserting settings in node24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Assert.env: one fell swoop loading and asserting settings in node

Hacker News2