25 Interest Score
10 Discussions
0.40 Engagement
Feb 2025 Launched

At Helpingai, We have created an foundational AI model that talks just like Human. Our ai model have scored highest ever EQ(emotion Quotient) of 98 defeating giants like OpenAI and DeepSeek.

What the Community Said

YO, Product Hunt! 🚀🔥 I’m Varun Gupta, a 15-year-old dude with a laptop and way too much caffeine. 💻☕ I’m also a techy at HelpingAI, and not gonna lie, my hands are shaking while typing this. The Problem 🤖💀 AI responses these days? Are very robotic…. They lack that human touch, making them pretty much useless for places that actually need emotional intelligence—like customer support, mental health apps, and real one-on-one convos. I felt this firsthand 1.5 years ago when I was building a mental s

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The model is really impressive, I have tried their all live models including helpingAI 2.5 10 B, HelpingAI 2.5 3B. The emotion part EQ is useful for mental health, customer care, sales automation etc

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I’ve been using this AI for a while now, and it’s honestly amazing! It really understands how I’m feeling and responds in such a thoughtful way. Whether I need support or just want a casual chat, it always adapts perfectly. Totally a game changer!

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This AI model truly revolutionizes emotional intelligence in tech! It goes beyond typical responses, understanding emotions and adapting to different tones. Highly recommend!

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Woooooow!!!!🔥🔥......amazing product by the developers and keep going,yeah..!!This great AI tool made me believe that something great, India is going to build in next few years in AI field. Cheers to backend and developer team.Great Job✌️

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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