Ze

Zero-Shot Object Tracking

Hacker News

Zero-Shot Object Tracking

Share card

Actual performance

4points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
73%73% 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 · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, 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.
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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
36%36% 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
33%33% 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
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ze
Zero-shot object detection demo63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zero-shot object detection demo

Hacker News3
I,
I, Object Demystifying the Ruby Object Ancestry37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I, Object Demystifying the Ruby Object Ancestry

Hacker News2
Ob
Object.freeze() for Go39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Object.freeze() for Go

Hacker News1
Ha
Harris–Object Oriented Redux48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Harris–Object Oriented Redux

Hacker News3
Ds
Dson.go – Doge Serialized Object Notation in Go42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dson.go – Doge Serialized Object Notation in Go

Hacker News1
Ds
Dson.go – Doge Serialized Object Notation in Go42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dson.go – Doge Serialized Object Notation in Go

Hacker News2
LC
LCON – Ludicrously Compact Object Notation50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LCON – Ludicrously Compact Object Notation

Hacker News35
Ze
Zero-shot image classifier – Classify images without training43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zero-shot image classifier – Classify images without training

Hacker News1
Op
OpenAI's zero-shot image classification in browser48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenAI's zero-shot image classification in browser

Hacker News3
Mu
Multi-Object Tracking in Python52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multi-Object Tracking in Python

Hacker News48