We listen to your feedback and here is it: ReactSymbols 1.1 \w TS&SASS

Hacker News

Hello Guys, thanks for your feedback you have been sending to us so far. You have been amazing! We gathered all your feedback add support of most wished features: 1. SASS build ⁃ Since now you are able to change one line of code and have branded all your elements into that color. And of course, we are giving you SASS files for all components. It’s even more fast and powerful workflow for prototyping or building complex web apps now. 2. Typescript ready ⁃ support of autocompletion, component auto-import and all other sweet features of Typescript. 3. Local NPM module support ⁃ Now you don’t need to use ugly and long paths to locate folder with ReactSymbols, simply define your NPM module as reactsymbols-kit and enjoy 4. A lot of other UI fixes to make everything smooth and pixel perfect. All this just released in version 1.1 of ReactSymbols - http://www.reactsymbols.com And we would love to hear your feedback again! Vlasti from the ReactSymbols team

Visit product View on Hacker NewsDec 13, 2017

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, code · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: just released, io · Missing: https docs, excited, exist

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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal

33%33% 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

18%18% 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

We listen to your feedback and here is it:ReactSymbols 1.1 \w TS&SASS34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We listen to your feedback and here is it:ReactSymbols 1.1 \w TS&SASS

Hacker News1

Listen to BLDG Evelyn – Chapter 4: The Chapel34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to BLDG Evelyn – Chapter 4: The Chapel

Hacker News1

Listen to BLDG Evelyn – Chapter 5 Part 1: Sisters34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to BLDG Evelyn – Chapter 5 Part 1: Sisters

Hacker News1

Listen to BLDG Evelyn – Chapter 5 Part 2: Sisters34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to BLDG Evelyn – Chapter 5 Part 2: Sisters

Hacker News2

listen together32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

free listen together website

Indie Hackers1apis

WebVox49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to the web

Indie Hackers1books

HearThrough – Listen to the world around you45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HearThrough – Listen to the world around you

Hacker News2

Juicebox – Listen to music with others43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Juicebox – Listen to music with others

Hacker News23

Earport - Listen to music together43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Earport - Listen to music together

Hacker News10

Show HN - Framous - Please give us some feedback37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN - Framous - Please give us some feedback

Hacker News2

Browse all products Analyze your launch