Pr
Prompts to Reduce LLM Political Bias
Hacker NewsPrompts to Reduce LLM Political Bias
Each LLM possesses a unique as sometimes transient political bias, which is problematic for many business applications. Here are prompts I've had success with in reducing this bias. https://github.com/Shane-Burns-Dot-US/Unspun/blob/main/readm...
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos41%41% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% 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, podcasting39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto25%25% 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, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I made a tool to hide HN usernames and reduce bias63%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 tool to hide HN usernames and reduce bias
Hacker News38Re
Recursive LLM Prompts53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recursive LLM Prompts
Hacker News97A
A tool to mitigate against journalism bias52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A tool to mitigate against journalism bias
Hacker News1A
A better bias estimation for HyperLogLog33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A better bias estimation for HyperLogLog
Hacker News3RT
RTK – Simple CLI to reduce token usage in your LLM prompts56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RTK – Simple CLI to reduce token usage in your LLM prompts
Hacker News1As
Associative Memory, Perceptions, and Unconscious Bias36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Associative Memory, Perceptions, and Unconscious Bias
Hacker News2Co
Comparegpt.io – Trustworthy Mode to reduce LLM hallucinations35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Comparegpt.io – Trustworthy Mode to reduce LLM hallucinations
Hacker News2Ge
Gender Bias Viewer32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gender Bias Viewer
Hacker News3Ge
Gender Bias Viewer32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gender Bias Viewer
Hacker News1Pr
PrePrompt – rewrites vague prompts before they reach the LLM44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PrePrompt – rewrites vague prompts before they reach the LLM
Hacker News23