Ge
Actual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto52%52% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos40%40% 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, intuitive35%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, podcasting24%24% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
A
A Ruby library for generating fake personalities54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Ruby library for generating fake personalities
Hacker News3Si
Single binary for generating fake JSON of M rows, N columns45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Single binary for generating fake JSON of M rows, N columns
Hacker News3Ge
Generating Collisions on NeuralHash43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generating Collisions on NeuralHash
Hacker News22Sh
SharinGAN - Generating Naruto Sharingans with GANs43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SharinGAN - Generating Naruto Sharingans with GANs
Hacker News1Is
Is this headline fake or not?64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Is this headline fake or not?
Hacker News15Th
The most fake Commodore 6461%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The most fake Commodore 64
Hacker News5Fa
Fake BSOD64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fake BSOD
Hacker News1Sc
Scoring resumes at scale using GPT-441%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scoring resumes at scale using GPT-4
Hacker News2To
Topline Resumes55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Topline Resumes
Hacker News1Re
ResumeFodder – Go app for generating Word resumes from JSON Resume data42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ResumeFodder – Go app for generating Word resumes from JSON Resume data
Hacker News53