Developed a AI-Driven Inside Sales Coaching/Review Tool

Hacker News

Hello HN community! I'm excited to introduce Manja.AI, a AI-driven sales coaching tool developed specifically for inside sales professionals. Similar to using review after you play a chess game online, this allows you to analyse your calls and demos and get coaching based on how you handled the conversation. Free Access: Launched with a free tier, no credit card required, perfect for individual sales agents. Built Manja.AI to help salespeople realise their full potential and would love to get feedback from the HN community, especially: User Experience: How intuitive and user-friendly is the interface? Coaching Quality: Are the AI's insights and recommendations helpful and accurate? Impact on Sales Performance: Do you notice any improvement in your sales techniques or outcomes? https://manja.ai/

Visit product View on Hacker NewsJan 9, 2024

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

89%89% 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: agents, agent, user · Missing: mac, macos, cursor

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: intuitive, friendly, interface · Missing: plus, platform, reviews

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% 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

22%22% 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

12%12% 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

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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