Se

Sentiment Analysis on Twitter Data

Hacker News

Sentiment Analysis on Twitter Data

Share card

Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
81%81% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
48%48% 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
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Py
PyBites Code Challenge 04 – Twitter data analysis Part 1: get the data34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PyBites Code Challenge 04 – Twitter data analysis Part 1: get the data

Hacker News1
Li
Live Twitter Sentiment Analysis for #GE201747%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Live Twitter Sentiment Analysis for #GE2017

Hacker News3
Ho
How can narratology and NLP benefit from topological data analysis?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How can narratology and NLP benefit from topological data analysis?

Hacker News5
A
A Codecademy for data analysis (with R)32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Codecademy for data analysis (with R)

Hacker News2
Ne
Newbies exploring Topological Data Analysis with R35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Newbies exploring Topological Data Analysis with R

Hacker News2
Mj
Mjslab: flexable clientside data analysis and plotting32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mjslab: flexable clientside data analysis and plotting

Hacker News2
Tw
Twitter Overhead Projection44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter Overhead Projection

Hacker News1
Tr
Trying to bootstrap my biz with Twitter bootstrap63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trying to bootstrap my biz with Twitter bootstrap

Hacker News2
Ho
Hooking up Twitter with Angellist47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hooking up Twitter with Angellist

Hacker News1
sw
sweepstakes + Twitter = TweetStakes63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

sweepstakes + Twitter = TweetStakes

Hacker News7