GradGermany

GradGermany

Indie Hackers

Admissions help & programme finder for studying in Germany

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% 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
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
32%32% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Aquira AI
Aquira AI48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Studying app

Indie Hackerscommitment-side-project
SequelSermon
SequelSermon33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Studying of scripture, one sermon at a time.

Indie Hackers1content
I
I made an AI tool to help with homework and studying27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an AI tool to help with homework and studying

Hacker News1
Otakufy
Otakufy33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Animedoro timer for studying and focusing

Product Hunt+107
US
US Covid-19 Vaccine Finder43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

US Covid-19 Vaccine Finder

Hacker News2
Su
Sunscreen Finder 2.047%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sunscreen Finder 2.0

Hacker News2
Bi
Bird Finder40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bird Finder

Hacker News2
Gi
Gistify for Finder40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gistify for Finder

Hacker News2
cy
cyanogenmod-finder47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

cyanogenmod-finder

Hacker News2
Wg
Wget-finder47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wget-finder

Hacker News130