Comets AI

Comets AI

Indie Hackers

Search and analyze YouTube comments instantly with AI

I built Comets AI because valuable insights are buried in YouTube comments, but hard to find. It exists to make comments searchable and useful for creators, marketers, and researchers.

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, 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.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, lua · Missing: https docs, excited, just released
27%27% predicted probability of success on Hacker News, 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.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Supajar
Supajar61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analyze and search YouTube comments with AI

Product Hunt+140Chrome Extensions
YouTube Comment Finder
YouTube Comment Finder38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Search & Analyze Comments Instantly

Indie Hackers1ai
CommentLens AI
CommentLens AI49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analyze YouTube comments and generate reports

Product Hunt+8
Be
Ben's Bites AI Search53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ben's Bites AI Search

Hacker News3
Pu
Publicview – Search and analyze SEC filings with AI34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Publicview – Search and analyze SEC filings with AI

Hacker News1
Se
Search and Analyze SEC Filings of Publicly Traded Companies with AI44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Search and Analyze SEC Filings of Publicly Traded Companies with AI

Hacker News11
AI
AI Search is now free28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Search is now free

Hacker News2
YT
YTFind - search YouTube dialogue48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YTFind - search YouTube dialogue

Hacker News7
Fokal
Fokal28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Be found on AI search and SEO.

Indie Hackerscommitment-full-time
Em
Embeddable hackernews comments69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Embeddable hackernews comments

Hacker News3