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ChatFlavors, agentic nudges prompt injection template
Hacker NewsChatFlavors, agentic nudges prompt injection template
A template default prompt injections for LLM chat services. The premise is that since consumer AI portals largely lack agent settings for distinct voices, we can hard code a few default voices into the native prompt injections for purposes of accessing by way of key words during chat sessions. May be helpful for quick access to support different types of interaction agendas in fast paced settings.
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2points
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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, agentic, code · Missing: mac, agents, macos70%70% 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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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