Te

Teddy, an educational compiler written in Swift

Hacker News

Teddy, an educational compiler written in Swift

Share card

Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
62%62% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
60%60% 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 · Strong signals: education · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% 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
19%19% 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.

Incorrect prediction on native model

Similar products

Si
Simple Pascal interpreter written in Swift58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Pascal interpreter written in Swift

Hacker News103
A
A Redis client written in Swift57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Redis client written in Swift

Hacker News1
Fa
FayeSwift – A Faye client written in swift50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FayeSwift – A Faye client written in swift

Hacker News4
Go
Gopher Server Written in Swift59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gopher Server Written in Swift

Hacker News1
An
An educational blockchain written in Go57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An educational blockchain written in Go

Hacker News5
A
A simple Futures and Promises library written in Swift45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A simple Futures and Promises library written in Swift

Hacker News1
An
An electronic drum kit written in Swift using 7 iPhones and an AppleTV52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An electronic drum kit written in Swift using 7 iPhones and an AppleTV

Hacker News2
A
A lightweight SQLite library written in Swift69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A lightweight SQLite library written in Swift

Hacker News2
A
A tiny Frinkiac and Morbotron client, written in Swift 356%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tiny Frinkiac and Morbotron client, written in Swift 3

Hacker News4
Im
Immunizations – My first mobile app, written in Swift48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Immunizations – My first mobile app, written in Swift

Hacker News2