Ca

Catchapp – Follow Topics on Twitter, Get the Most Popular Stories

Hacker News

Catchapp – Follow Topics on Twitter, Get the Most Popular Stories

Share card

Actual performance

1points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
65%65% 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 NewsStrong engagement from HN community · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
26%26% 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
25%25% 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.

Incorrect prediction on native model

Similar products

St
Stories for Twitter49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stories for Twitter

Hacker News1
Po
Popular Lists from Twitter51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Popular Lists from Twitter

Hacker News1
Mo
Most popular Twitter bots (dataviz)60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Most popular Twitter bots (dataviz)

Hacker News1
Pe
People to Follow on Twitter55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

People to Follow on Twitter

Hacker News3
We
We show why people follow you on Twitter52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We show why people follow you on Twitter

Hacker News1
Di
Discover topics that are rising and popular in news on any given day54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover topics that are rising and popular in news on any given day

Hacker News2
X Topics
X Topics33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Advanced Twitter Analytics tool

TrustMRRAnalytics
TeamIndieHackers
TeamIndieHackers30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Follow @IndieHackers on X for stories and insights.

Indie Hackers1advertising
Yo
Your Twitter Stream Organized by Topics43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Twitter Stream Organized by Topics

Hacker News2
Ag
Agora – Follow your favorite topics from Nostr, Bluesky, and Mastodon47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Agora – Follow your favorite topics from Nostr, Bluesky, and Mastodon

Hacker News1