AI-powered Slack assistant for knowledge management

Hacker News

Hey HN! I'm excited to share our latest project - QueryPal! It's a Slack app designed to enhance your team's productivity by providing better, faster answers directly in Slack. QueryPal is trained on your company documents and features seamless integration with Slack, Notion, Confluence, Google Drive, OneDrive, Jira, Monday, and more. You can install QueryPal from our website or join our community Slack to try it out here : https://www.querypal.com We'd love your feedback or any questions you might have. Let's chat! :)

Visit product View on Hacker NewsMar 28, 2024

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Launch Intel predictions

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

85%85% 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 · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% 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

10%10% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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