Chatsimple, AI virtual agent platform for digital sales

Hacker News

Hello HN! I’m Hao, previously of Google's chatbot builder Dialogflow. I left to build Chatsimple, a round-the-clock AI assistant designed to help small and medium-sized businesses better engage with their customers and drive digital sales. I've seen the transformative impact of AI in large enterprises, and I believe smaller businesses should also have access to these benefits. That's why we've created Chatsimple, using advanced AI technology to answer customer queries instantly, day or night, directing users toward their desired outcomes and boosting conversions. Our focus is to serve the likes of startups, independent creators, and small e-commerce businesses who could benefit greatly from this automated assistant. An interesting insight: our data suggest that digital product prospects who interact through messages are ten times more likely to become paying customers. Let me know what you think! Hao

Visit product View on Hacker NewsJun 12, 2023

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Actual performance

2points

Did not reach leaderboard

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

88%88% 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: agent, google, user · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% 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

18%18% 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

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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