Tw

Tweets Sentiment Analysis with LLM

Hacker News

Tweets Sentiment Analysis with LLM

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
54%54% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · 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 · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
30%30% 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
25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Se
Sentiment analysis of tweets42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sentiment analysis of tweets

Hacker News1
Tw
TweetMirror - Train a LLM on your Tweets42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TweetMirror - Train a LLM on your Tweets

Hacker News4
Re
Realtime Tweets Sentiment Analysis47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Realtime Tweets Sentiment Analysis

Hacker News2
Fr
Framed Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Framed Tweets

Hacker News2
Hu
Hurricane Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hurricane Tweets

Hacker News56
Be
Beyond Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beyond Tweets

Hacker News1
Se
Sex Your Tweets (Bayesian classifier)37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sex Your Tweets (Bayesian classifier)

Hacker News1
Fi
Find Haiku in Your Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Haiku in Your Tweets

Hacker News1
Lo
Lonely Tweets :'(42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lonely Tweets :'(

Hacker News1
#e
#e is for Ephemeral – timed deletion of your tweets55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

#e is for Ephemeral – timed deletion of your tweets

Hacker News1