LL
LLM prompt template to build backend APIs faster
Hacker NewsLLM prompt template to build backend APIs faster
Share cardActual performance
7points
2comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: apis · Missing: mac, agents, macos74%74% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto51%51% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released45%45% 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, personal44%44% 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, intuitive33%33% 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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Tr
TrackLLM: Are the LLM APIs you rely on stable?48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrackLLM: Are the LLM APIs you rely on stable?
Hacker News1AEC API37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Backend-APIs
Indie Hackers1apisI
I made a visual prompt chaining platform for LLM APIs35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a visual prompt chaining platform for LLM APIs
Hacker News1Fireapis26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build nocode backend
Indie Hackers1analyticsNo
No-Prompt APIs for your LLM Classification Pipelines39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No-Prompt APIs for your LLM Classification Pipelines
Hacker News2
Fireapis24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build a no-code backend for APIs, webhooks, and third-party apps
AppSumo10Bu
Build APIs with Rails chapter 740%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build APIs with Rails chapter 7
Hacker News1Fr
Free LLM System–-Prompt46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free LLM System–-Prompt
Hacker News1(W
(WIP) A Clang backend for PureScript20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
(WIP) A Clang backend for PureScript
Hacker News1Sq
Sqlite Backend for Raft66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sqlite Backend for Raft
Hacker News2