I
I wrote a novella with GPT-3 (with prompts and screenshots)
Hacker NewsI wrote a novella with GPT-3 (with prompts and screenshots)
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal49%49% 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, podcasting41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
GP
GPT-Image-2 Prompts38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GPT-Image-2 Prompts
Hacker News1Se
Self-extracting prompts for GPT-455%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Self-extracting prompts for GPT-4
Hacker News13Co
Compress GPT-4 Prompts53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Compress GPT-4 Prompts
Hacker News68Tr
Trickle – Let GPT-4 Understand Your Screenshots69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Trickle – Let GPT-4 Understand Your Screenshots
Hacker News20Sh
Show HN : Nova - GPT with composable prompts, workspaces, + LlamaIndex53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : Nova - GPT with composable prompts, workspaces, + LlamaIndex
Hacker News56Wo
Worldbuilding Experiments with GPT-336%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Worldbuilding Experiments with GPT-3
Hacker News2Au
Autosummarized HN (With GPT-3)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Autosummarized HN (With GPT-3)
Hacker News6I
I composed a sonata with GPT-3 DaVinci-003 and you can too51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I composed a sonata with GPT-3 DaVinci-003 and you can too
Hacker News3GP
GPT Classifies HN Titles57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GPT Classifies HN Titles
Hacker News6Ce
Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset
Hacker News4