I
I used GPT4 and smol-developer to make genart series
Hacker NewsI used GPT4 and smol-developer to make genart series
Share cardActual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos67%67% predicted probability of success on Product Hunt, 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, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released41%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, intuitive32%32% 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, podcasting22%22% 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Li
Lisp in C Tutorial Series56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lisp in C Tutorial Series
Hacker News4B.M.W15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
7is series BMW SUV
Indie Hackerstechshek39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meetups Series
Indie Hackerscommitment-side-projectFucibet Cream31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A potent steroid combined with an antibiotic, used when the
Indie Hackerscommitment-full-timeused refrigerators30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
used refrigerators
Indie Hackerscommitment-side-projectused washer and dryer sets43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
used washer and dryer sets
Indie Hackersemployees-5k-plusMa
Make Things, series of free IoT workshops48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make Things, series of free IoT workshops
Hacker News3Ma
Make developer resume more concise with GPT346%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make developer resume more concise with GPT3
Hacker News1Ha
Haphead, a concept trailer for a web series I produced42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Haphead, a concept trailer for a web series I produced
Hacker News1Ni
Niu Lai Series Website26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Niu Lai Series Website
Hacker News1