Li
Library for online updates of prompt, LLM-agnostic (OpenAI,Claude,Gem)
Hacker NewsLibrary for online updates of prompt, LLM-agnostic (OpenAI,Claude,Gem)
Features CI/CD testing: Generates tests based on the ideal answer; Dynamic Prompt Development: Avoid budget exceptions with dynamic data; Multi-Model Support: Seamlessly integrate with various LLMs like OpenAI, Anthropic, Gemini; Real-Time Insights: Monitor interactions, request/response metrics in production; Prompt Testing and Evolution: Quickly test and iterate on prompts using historical data;
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1points
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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, openai · Missing: mac, agents, macos93%93% 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 · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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