GPT helped me rebuild a .NET app in 30 mins what took 3 weeks in MFC
I've never used .NET, know nothing about .NET or vb, or anything outside vc++ & MFC. Recently I gave GPT a try, guiding it step by step, and asking it to help me rebuild a tool I originally wrote in MFC. To my surprise, it worked: a full Excel-to-PDF automation app, done in 30 minutes; including a small algorithm I thought would be too tricky for AI to handle. I didn't understand even a single line of the code, I just kept asking, copying, and running. It felt amazing… but also terrifying.If AI can do this now, what happens 5 years from now? Here's a 5-min video I made showing the full…
What it does
In the maker’s words, at launch
I've never used .NET, know nothing about .NET or vb, or anything outside vc++ & MFC. Recently I gave GPT a try, guiding it step by step, and asking it to help me rebuild a tool I originally wrote in MFC. To my surprise, it worked: a full Excel-to-PDF automation app, done in 30 minutes; including a small algorithm I thought would be too tricky for AI to handle. I didn't understand even a single line of the code, I just kept asking, copying, and running. It felt amazing… but also terrifying.If AI can do this now, what happens 5 years from now? Here's a 5-min video I made showing the full process with real code running (no cuts, just sped up): https://youtu.be/-mf_yOhOCfs Not selling anything. Just sharing what shocked me.
Does the same job
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A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
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After fine-tuning GPT for a personal project, I realized how tedious it is to write plain text in a massive JSON file. That's why I built this app for my own use, and I want to see if others could benefit from a tool like this as well ;)
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Hey HN! Thank you for all the support and feedback on my original submission 2 months ago. I've been improving the backend using a MCTS/AlphaZero approach and it's currently producing much better results. My long term goal is to allow users to manage multiple projects, deployed autonomously, both from scratch and by making continual updates all prompted with natural language. The cost of each project has been lowered to $9 as performance with smaller models has improved (I migrated from Claude-3-Opus to gemini-1.5-flash). Thanks for checking it out!
- ICI created a Neural Network from scratch, in scratch2024 · bell-boy.github.io · ▲7
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- IMI made free versions of GPTs2024 · mithrin.ai · ▲6
Hi guys, For my startup at www.mithrin.ai which is about create AI Chatbot Agents for websites, I wanted to create some free tools to attract traffic to the site and decided to create specialized chatbots powered by LLMs, similar to OpenAI's Custom GPTs. I realized that by using gpt-4o-mini, I could create quite powerful alternatives to GPTs that are free to the public for a very small cost (given how cheap the model api cost is). I've employed some throttling to prevent abuse and to avoid being charged too much. Then I integrated this with my main service and allowed users to use the…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2025
the whole month →
- IS
I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com
- KT
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
Dev tools · 2025 · github.com
- IW
I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https://visualrambling.space/moving-objects-in-3d/ feel free to visit and let me know what you think!
Life & fun · 2025 · visualrambling.space
- TC
For HTML Day 2025 [1], I made a web service that displays the current sky at your approximate location as a CSS gradient. Colours are simulated on-demand using atmospheric absorption and scattering coefficients. Updates every minute, without the use of client-side JavaScript. Source code and additional information is available on GitHub: https://github.com/dnlzro/horizon [1] https://html.energy/html-day/2025/index.html
Dev tools · 2025 · sky.dlazaro.ca