LL
LLM Prompting Templates for Files / Source-Code
Hacker NewsLLM Prompting Templates for Files / Source-Code
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos80%80% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% 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 released40%40% 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, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Co
Composable LLM prompting and inheritance [video]45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Composable LLM prompting and inheritance [video]
Hacker News1Th
The beginner's guide to LLM prompting40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The beginner's guide to LLM prompting
Hacker News1PandAi752%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Are you tired of prompting?
Indie Hackers1$9/moaireelslaunch15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Less prompting. More directing
Indie HackersPr
PromptL, a templating language designed for LLM prompting43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PromptL, a templating language designed for LLM prompting
Hacker News7Te
Templates build without code49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Templates build without code
Hacker News1Pa
Pairing LLM code generation with traditional templates41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pairing LLM code generation with traditional templates
Hacker News5Cl
CloudFormation templates in YAML39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CloudFormation templates in YAML
Hacker News2Ha
Handy Nginx configuration templates60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Handy Nginx configuration templates
Hacker News8Sh
Shaven – Templates without mustache40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shaven – Templates without mustache
Hacker News3