Another AI Support Agent

Hacker News

Hello HN Community, I know that you've saw numerous platforms designed for creating chatbots with ChatGPT using your own data. We've introduced something unique with two significant differences: 1. Our business model doesn't rely on subscriptions; instead, we offer a Pay-as-you-go system, benefiting both users and us. 2. Unlike most platforms focused on website data, we prioritize building AI agents that genuinely reduce the need for hiring support operators. Currently, we're in the MVP stage, offering text data training and FAQs. However, our roadmap includes developing support process flows, allowing agents to handle tasks like calling your own API's. My vision extends beyond creating just another AI chatbot and I aim to automate the boring part of support. Right now, we're providing 100,000 free tokens. I'd greatly appreciate your feedback after testing our platform. Additionally, as an Indie developer, I'd welcome your insights on effective marketing strategies for this project.

Visit product View on Hacker NewsAug 24, 2023

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

91%91% 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, model · Missing: mac, macos, cursor

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription, training · Missing: arr, mrr, revenue

22%22% 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, introduce · 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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