A GPT3 Prompt Platform

Hacker News

Hi HN, Today we're launching a tool to help you evaluate and test prompts for Generative AI. We have been building different GPT3 apps and noticed a gap in tooling to help developers assess the quality of different prompts. Our app enables you to create prompt templates with ease - it auto-detects variables and merges in data from your dataset. Users are building: * A Sales Analyst chatbot that can generate and execute BI SQL queries * A Sentiment Detection prompt to evaluate customer feedback * A Business Analyst that can formulate sales strategies and plans. We are just getting started and would be delighted to receive your feedback.

Visit product View on Hacker NewsMay 11, 2023

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, users · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

35%35% 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews

28%28% 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, revenue

15%15% 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, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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