Admin AI – follow up emails, notes and CRM updates from recorded call

Hacker News

Hi HN! For the last 5 years I've been in sales (at mongoDB). Spent half my week writing updates for sales-managers. My founder told me this is a lot like JIRA. Updating tickets for internal management - I hear it's painful. Sellers call this "admin work". A lot of it is zero value (because it doesn't help us get paid), and easily takes up 5+ hours a week. Admin AI uses the recorded calls to draft follow up emails, write call notes and CRM deal updates. We're trained our AI to think like a seller. And also built all the integrations to make it feel magical. Love your feedback, comments, questions. Happy to help anyone reading this figure out a bit of sales too!

Visit product View on Hacker NewsOct 10, 2023

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

88%88% 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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% 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 · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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