Qu

QuoteRobot Rebuilt In Python/Flask/MongoDB/Backbone

Hacker News

QuoteRobot Rebuilt In Python/Flask/MongoDB/Backbone

We completely rebuilt QuoteRobot and relaunched it on November 1st using some fun new tech.

Share card

Actual performance

18points
4comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
56%56% 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
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Zi
Zite was killed, so we rebuilt it for you in Pipes69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zite was killed, so we rebuilt it for you in Pipes

Hacker News4
I
I Rebuilt MySpace from 200769%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Rebuilt MySpace from 2007

Hacker News726
We
WebBase-III – dBASE III rebuilt in the browser with its own interpreter72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WebBase-III – dBASE III rebuilt in the browser with its own interpreter

Hacker News96
Cu
CustomStringParser ( Python)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CustomStringParser ( Python)

Hacker News1
Lu
Lusernews is an implementation of lamernews in python48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lusernews is an implementation of lamernews in python

Hacker News1
Do
Do/While in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Do/While in Python

Hacker News4
Ga
Gatos, conCATenative functions for python54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gatos, conCATenative functions for python

Hacker News1
A
A wrapper around datetime, pytz and tzlocal for Python 3.2+38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A wrapper around datetime, pytz and tzlocal for Python 3.2+

Hacker News1
Pa
Parallelizing word2vec in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Parallelizing word2vec in Python

Hacker News3
pi
piprot – How rotten are your [python] requirements?37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

piprot – How rotten are your [python] requirements?

Hacker News1