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Product Hunt

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Actual performance

222upvotes
25comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Strong signals: chat · Missing: web3, crypto, cryptocurrency
96%96% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: inbox · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% 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
29%29% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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BetaList
Qu
Ques ( commentary on some questions from Ask HN )47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ques ( commentary on some questions from Ask HN )

Hacker News2
Ht
Httpies – httpie with extra headers43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Httpies – httpie with extra headers

Hacker News4
Re
Re-reselect – Extra memoization for reselect selectors54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Re-reselect – Extra memoization for reselect selectors

Hacker News2
QM
QME – Ask, Poll and Share Questions39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

QME – Ask, Poll and Share Questions

Hacker News1
Su
Summarize and Chat with Any Video32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Summarize and Chat with Any Video

Hacker News2
Ha
Hacking Stellar (draft)65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacking Stellar (draft)

Hacker News4
Do
Doblun's draft55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Doblun's draft

Hacker News2
As
AskNews – ask questions about recent news46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AskNews – ask questions about recent news

Hacker News5
Li
Live Ask – Ask live questions at meetups43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Live Ask – Ask live questions at meetups

Hacker News1