TalkCue – Free 1-on-1 Question Generator for Meaningful Meetings

Hacker News

I'm excited to share TalkCue, a free and simple one-on-one question generator designed to help managers run more effective meetings. With a single click, TalkCue provides four fresh and engaging questions tailored for one-on-one meetings, ensuring conversations stay meaningful and productive. As a Team Lead in one of my previous roles, I often found myself struggling to keep one-on-one meetings engaging and insightful. I wanted a tool that could help spark genuine conversations and uncover deeper insights without friction (like account registrations). To generate the questions, TalkCue picks from a list of 300+ curated one-on-one questions and selects four at random from various categories like Ice Breakers, Company Culture, Work-life Balance, and more. This ensures an always fresh set of questions for your next one-on-one. Simply click - Copy - and paste it into your favorite notes app, email client or other communication tool to share with your meeting partner. Oh, and... I'm not sure if this is a pro or a con, but no AI is involved for question generation. Let me know in the comments if you have any feedback or suggestions.

Visit product View on Hacker NewsMay 27, 2025

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: email, single, notes · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% 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, revenue

13%13% 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, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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