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Conferbot – A Simple, No-Code Chatbot Builder I Created

Hacker News

Conferbot – A Simple, No-Code Chatbot Builder I Created

Hello HN! After countless hours of development, I'm excited to share Conferbot with you. It’s a straightforward, no-code platform that lets you build chatbots, focusing on simplicity and user-friendliness. Key features include: - Ease of Use: Designed to be intuitive, so you can build chatbots without needing to code. - Live Agent Handover: Enables chatbots to hand over the conversation to a human, blending automation with human touch. - Solo Developer Project: This has been my passion project, aimed at solving a problem I saw in the digital engagement space. I created Conferbot to help small business owners, marketers, and anyone interested in automating interactions without getting bogged down by complexity. I’m here for feedback or questions. Whether it’s about the technology, user experience, or how Conferbot could help solve your engagement challenges, I’m keen to hear your thoughts and learn from this community.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · 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: agent, user, using · Missing: mac, agents, macos
73%73% 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, intuitive, builder · Missing: plus, reviews, host
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
49%49% 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
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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: 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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