A simple poll app with real-time results

Hacker News

Hi!This is a web app I made over the past few days as a little project to learn more about AngularJS and Firebase. The app lets you create a simple poll in a matter of seconds and without the need to register. The votes and comments are updated in real time.I was impressed by Angular's features and its relative ease of learning. Thanks to Firebase I could concentrate on writing client-side code only; there is no back-end to this app. This means I can host it for free through GitHub Pages.Your opinions and suggestions are most welcome. What do you like? What would you change? Any feature requests? You can have a look at the code here: https://github.com/dbbert/personal/tree/gh-pages. Coding style advice is also much appreciated.Thanks!Bert

Visit product View on Hacker NewsSep 17, 2013

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

62%62% 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: coding, code · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

42%42% 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: host · 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · 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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