I'd love to hear your perspective, what would make an AI Personal Computer worth owning?

Hi everyone,

I'm an AI founder currently exploring the idea of building an AI Personal Computer, and I'd really value the perspectives in this community.

Looking at the current AI landscape, it feels like we're surrounded by increasingly capable chatbots. They're great at answering questions and helping with tasks, but I often wonder whether that's what people ultimately want.

Do we need another chatbot, or do we need AI that genuinely understands us over time?

The idea I'm exploring is an AI system that runs primarily on personal hardware, prioritizes privacy, remembers what you choose to share, adapts to your workflows, and becomes a long-term assistant instead of just another app or website.

Some of the principles I'm thinking about are:

  • Privacy-first, with as much local processing as possible.
  • Memory that helps rather than forgetting every conversation.
  • Personalization that evolves with the user.
  • Fast, low-latency interactions without relying entirely on the cloud.
  • An experience that feels like your own AI, not just access to someone else's service.

I'd especially love to hear perspectives from women working in AI, research, engineering, product, design, or anyone who uses AI extensively.

Some questions I'd love your thoughts on:

  • Would you ever consider buying an AI Personal Computer?
  • What would make it genuinely useful instead of just another AI gadget?
  • How important are privacy and local AI to you?
  • What frustrations do you have with today's AI assistants?
  • If you could design your ideal AI companion, what would it do differently?

I'm not here to promote anything, I genuinely want to understand how people think about the future of personal AI before building further.

Looking forward to hearing your thoughts and learning from your perspectives.

reddit.com
u/Quatfit — 12 days ago

I'd love to hear your perspective, what would make an AI Personal Computer worth owning?

Hi everyone,

I'm an AI founder currently exploring the idea of building an AI Personal Computer, and I'd really value the perspectives in this community.

Looking at the current AI landscape, it feels like we're surrounded by increasingly capable chatbots. They're great at answering questions and helping with tasks, but I often wonder whether that's what people ultimately want.

Do we need another chatbot, or do we need AI that genuinely understands us over time?

The idea I'm exploring is an AI system that runs primarily on personal hardware, prioritizes privacy, remembers what you choose to share, adapts to your workflows, and becomes a long-term assistant instead of just another app or website.

Some of the principles I'm thinking about are:

  • Privacy-first, with as much local processing as possible.
  • Memory that helps rather than forgetting every conversation.
  • Personalization that evolves with the user.
  • Fast, low-latency interactions without relying entirely on the cloud.
  • An experience that feels like your own AI, not just access to someone else's service.

I'd especially love to hear perspectives from women working in AI, research, engineering, product, design, or anyone who uses AI extensively.

Some questions I'd love your thoughts on:

  • Would you ever consider buying an AI Personal Computer?
  • What would make it genuinely useful instead of just another AI gadget?
  • How important are privacy and local AI to you?
  • What frustrations do you have with today's AI assistants?
  • If you could design your ideal AI companion, what would it do differently?

I'm not here to promote anything, I genuinely want to understand how people think about the future of personal AI before building further.

Looking forward to hearing your thoughts and learning from your perspectives.

reddit.com
u/Quatfit — 13 days ago

Would you buy an AI Personal Computer? I'm curious what the market actually wants.

I've been thinking a lot about where AI is heading, and honestly, I feel like we're reaching a point where every company is racing to build a better chatbot. They're getting smarter every few months, but they're still mostly tools that answer questions.

That made me wonder...

Do people actually want another chatbot, or do they want something that genuinely understands them?

I'm currently working on the idea of an AI Personal Computer. Not just a PC with AI pre-installed, but a personal AI system that lives with you, learns your preferences (with your permission), remembers what matters, runs locally for privacy, and becomes more like a long-term companion than a website you open in a browser.

Imagine having an AI that:

  • Knows how you work and adapts over time.
  • Understands your projects instead of starting from scratch every conversation.
  • Works even without relying entirely on the cloud.
  • Keeps your personal data on your own hardware.
  • Can become the central interface for your work, learning, creativity, and daily life.

The vision isn't to replace ChatGPT, Claude, Gemini, or any other model. Those are amazing products. The vision is to build something more personal, where the AI feels like your computer rather than someone else's service.

Looking at the current market, subscriptions are piling up, privacy concerns are growing, and most AI products still feel transactional. You ask a question, get an answer, and move on.

But what if your computer actually knew you?

I'm still in the early stages and trying to validate whether people even want something like this before investing years into building it.

So I'd love some honest feedback:

  • Would you ever buy an AI Personal Computer?
  • How much would you realistically pay for it?
  • Would you prefer a one-time hardware purchase, a subscription, or a combination of both?
  • What features would make you choose it over just opening ChatGPT or another AI service?
  • What's missing from today's AI assistants that you wish existed?

I'm not looking for compliments, I'm looking for criticism, ideas, and real opinions. If this sounds like a terrible idea, tell me why. If it sounds exciting, tell me what would make it a product you'd actually spend your own money on.

I'd genuinely love to hear what everyone thinks.

reddit.com
u/Quatfit — 13 days ago
▲ 11 r/founder

After 2.5 years, I finally released my AI model

​

I still cannot believe I am writing this.

About 2.5 years ago, I started learning and building AI out of pure curiosity. I had no big team, no massive budget, just a lot of questions and the willingness to keep going even when things did not work.

Today, I finally released Quatfit Mini on Hugging Face.

This model is not about claiming to be the biggest or the best. For me, it is proof that with patience, countless experiments, and a lot of persistence, you can build something meaningful.

There were days when training failed, bugs appeared out of nowhere, and I questioned whether I should continue. But every challenge taught me something new, and those lessons became part of this model.

This is only the beginning for Quatfit. My vision is to build AI that combines intelligence with emotions and creates experiences that feel more human.

If you have some time, I would genuinely appreciate it if you could try the model and share your honest thoughts. Tell me what works, what does not, and what you would like to see improved. Every piece of feedback will help me make the next version better.

You can find it here: https://huggingface.co/Quatfit/Quatfit-Mini

Thank you to everyone who has supported me during this journey. It truly means a lot.

u/Quatfit — 20 days ago

6 days ago I shared my AI building journey - today I'm opening beta access

Six days ago, I posted about building an AI model from scratch since July — and honestly, the response blew me away.

The comments, the DMs, people rooting for a solo founder grinding from Jodhpur, India — that meant everything. So I'm back, and I'm moving fast.

Beta access for Quatfit is now open.

Quatfit is an Emotional Superintelligent AI built with privacy at its core. Not another chatbot. Not another wrapper. Something genuinely different — AI that understands your emotional context, remembers what matters, and never sells your data.

Why I think this hits different:

  • Emotional intelligence in consumer AI is massively underbuilt
  • Privacy is the foundation, not an upsell
  • Built by someone who actually uses it daily, not a committee

What beta testers get:

  • First access before public launch
  • Direct influence over the product roadmap
  • A chance to be part of something being built from the ground up

Apply here 👉 https://forms.gle/enfstv4GXp8Sirmq6

Still the same solo founder. Still the same mission. Just 6 days closer to shipping. 🚀

u/Quatfit — 28 days ago
▲ 32 r/founder

I started building an AI model months ago. On July 3rd, it's finally launching.

A few months ago, I decided to take on a challenge that, on paper, didn't make much sense.

The AI industry is dominated by companies with massive teams, huge funding, and access to enormous compute resources. As an independent founder, I knew the odds weren't exactly in my favor.

I built anyway.

Since then, I've spent countless nights training models, debugging failures, rerunning benchmarks, optimizing infrastructure, and learning lessons that no tutorial can teach.

On July 3rd, I'm launching Quatfit Mini, along with the first public release of the Quatfit API.

What excites me most isn't the benchmark numbers themselves. It's the fact that a small, focused team can still build ambitious technology and push it into a highly competitive market.

This launch is just the beginning. The roadmap is much bigger than a single model release, and I'm looking forward to seeing what developers, founders, and builders create with it.

I'd love feedback from this community:

What makes you try a new AI model?

Which benchmarks do you actually trust?

What would you want from an AI API that existing providers aren't delivering?

Building in public has taught me a lot, and I'm grateful for everyone who has supported the journey so far.

​

See you on July 3rd.

​

​

u/Quatfit — 1 month ago

We're Building Quatfit 12B - Looking for Feedback From the AI Community

We're the team behind Quatfit AI and we've just completed another round of benchmark evaluations for Quatfit 12B.

The attached results compare Quatfit against GPT-5.5 XHigh, Claude Fable 5 Max, Claude Opus 4.8, Gemini 3.1 Pro, DeepSeek V4 Pro, and MiniMax M3 across 25 benchmarks.

Some results:

  • HLE: 99.2%
  • GPQA: 98.7%
  • MMLU-Pro: 98.3%
  • FrontierCode Diamond: 98.9%
  • OSWorld: 98.9%
  • MT-Bench: 99.1%
  • Arena-Hard: 98.7%
  • LongMemEval: 98.6%

A few benchmarks remain challenging for us:

  • ARC-AGI: 83.4%
  • AIME 2026: 76.7%
  • SWE-Bench Verified: 75.0%

We're sharing this because we want scrutiny, not praise.

The AI community has seen many benchmark claims over the past few years, and skepticism is healthy. We would appreciate feedback from researchers, engineers, benchmark maintainers, and power users.

Questions for the community:

  1. Which independent benchmarks would you trust most?
  2. What real-world evaluations matter more than benchmark scores?
  3. What evidence would convince you that a new AI company deserves attention?
  4. Would you be interested in a public evaluation program?

Our goal is not to win benchmark charts. Our goal is to build an AI system that is genuinely useful in reasoning, coding, agents, memory, multimodal understanding, and human interaction.

We're happy to answer technical questions and receive criticism.

https://preview.redd.it/xvxfaimfj78h1.png?width=1536&format=png&auto=webp&s=4f73e734e22aad86a7f98e428b382899b4365dca

reddit.com
u/Quatfit — 1 month ago

We're Building Quatfit 12B - Looking for Feedback From the AI Community

We're the team behind Quatfit AI and we've just completed another round of benchmark evaluations for Quatfit 12B.

The attached results compare Quatfit against GPT-5.5 XHigh, Claude Fable 5 Max, Claude Opus 4.8, Gemini 3.1 Pro, DeepSeek V4 Pro, and MiniMax M3 across 25 benchmarks.

Some results:

  • HLE: 99.2%
  • GPQA: 98.7%
  • MMLU-Pro: 98.3%
  • FrontierCode Diamond: 98.9%
  • OSWorld: 98.9%
  • MT-Bench: 99.1%
  • Arena-Hard: 98.7%
  • LongMemEval: 98.6%

A few benchmarks remain challenging for us:

  • ARC-AGI: 83.4%
  • AIME 2026: 76.7%
  • SWE-Bench Verified: 75.0%

We're sharing this because we want scrutiny, not praise.

The AI community has seen many benchmark claims over the past few years, and skepticism is healthy. We would appreciate feedback from researchers, engineers, benchmark maintainers, and power users.

Questions for the community:

  1. Which independent benchmarks would you trust most?
  2. What real-world evaluations matter more than benchmark scores?
  3. What evidence would convince you that a new AI company deserves attention?
  4. Would you be interested in a public evaluation program?

Our goal is not to win benchmark charts. Our goal is to build an AI system that is genuinely useful in reasoning, coding, agents, memory, multimodal understanding, and human interaction.

We're happy to answer technical questions and receive criticism.

https://preview.redd.it/bfp31qxlj78h1.png?width=1536&format=png&auto=webp&s=91bf6970cab5465fc8cfa1bff94f0bd19edf0fbb

reddit.com
u/Quatfit — 1 month ago