vG
Actual performance
203points
78comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto79%79% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal46%46% 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 released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos43%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, intuitive34%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, revenue27%27% 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, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Au
AudioGhost AI – Run Meta's Sam-Audio on Consumer GPUs (4GB-6GB VRAM)41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AudioGhost AI – Run Meta's Sam-Audio on Consumer GPUs (4GB-6GB VRAM)
Hacker News3NL
NLP PyTorch Tutorial (fire up the GPUs)47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NLP PyTorch Tutorial (fire up the GPUs)
Hacker News1He
Heroku for GPUs39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Heroku for GPUs
Hacker News2Fr
Fractional GPUs for AI32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fractional GPUs for AI
Hacker News8Ho
How to find the best GPUs for you59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How to find the best GPUs for you
Hacker News3oL
oLLM – LLM Inference for large-context tasks on consumer GPUs58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
oLLM – LLM Inference for large-context tasks on consumer GPUs
Hacker News3Fr
Freeing GPUs stuck by runaway jobs44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Freeing GPUs stuck by runaway jobs
Hacker News37Or
Orchestrating GPUs in data centers and private clouds59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Orchestrating GPUs in data centers and private clouds
Hacker News1Honestore45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The community of consumer activists
Indie Hackers1communityBesteforbrukslån.no55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Affiliate website, consumer loans, consumer based
Indie Hackers2$1,000/moadvertising