AI co-pilot for employees to self serve for HR and IT

Hacker News

Hello Hacker News! We're excited to introduce DeskFlow, an AI-driven Slack and Microsoft Teams bot, designed to streamline HR and IT operations in your workspace. DeskFlow harnesses LLM to provide immediate answers to HR and IT related queries, functioning like an in-house expert. Its features include instant access to your knowledge base and HR system, automatic ticket routing, and soon, auto-drafting responses to inquiries. By integrating DeskFlow directly into your communication channels, employees save time and boost productivity by eliminating the need to switch context or apps. We'd love to get your feedback on this product. Thanks

Visit product View on Hacker NewsMay 19, 2023

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Actual performance

6points

4comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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