GT

GTFS (transit) feed normalization

Hacker News

GTFS (transit) feed normalization

Share card

Actual performance

8points
2comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
71%71% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
45%45% 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
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Fe
Feed the Quine41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Feed the Quine

Hacker News1
Dj
Django Filtered Feed40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Django Filtered Feed

Hacker News1
Rundown
Rundown32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your feed, synthesized.

Indie Hackers1ai
AI
AI Feed26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Feed

Hacker News1
In
Infinijest, Video Feed Experiment33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Infinijest, Video Feed Experiment

Hacker News2
veris
veris31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

See what's real on every feed

Indie Hackers
Fe
Feed Control44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Feed Control

Hacker News2
Teed Feed
Teed Feed29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All your Telegram channels in one chronological feed

Product Hunt+2
Te
Terminal Stlye HN Feed56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Terminal Stlye HN Feed

Hacker News1
Ne
News Feed Eradicator41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

News Feed Eradicator

Hacker News1