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September 28, 2023

Code less sounds great for toy projects. People who aren't in tech aren't building no colde solutions beyond basic excel ones. So they end up hiring consultants to build them for them which costs at least 3-10x more if the solution were to be made with code. Ms powerapps for an example needs connector license for many basic things that costs a lot as well. This is from my experience as a consultant in many enterprises over last 3yrs watching code less explode in front my eyes.

Comments URL: https://news.ycombinator.com/item?id=37689282

Points: 79

# Comments: 41



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September 26, 2023

Yo HN! I have been working on some design tools in my spare time to solve problems I've faced over and over, and I'm thinking about monetizing them.

I've been to some conferences recently and talked to a lot of people who have these problems as well, and they're keen to try it out. I have collected some emails, been communicating with them a bit and even got beers with one of them recently!

Here's my list of concerns:

1. It is just me - is that a red flag? Some people have asked me about my team and I told them it was just me. I got the feeling that it may have turned them off because the conversation kind of ended right there. To be fair, after that I did say that it is just me right now BUTTTTTTTT why that is okay due to my experience and work history. However, yes it is my first time doing a business.

2. How do I set appropriate milestones for me to reach? Do I think about reaching 100 customers before reaching 5 recurring customers for example?

3. I'm in a small town in PNW. Does that matter if this will be an online thing anyway? Why or when do people move to big cities like Seattle/SF/NYC/Austin etc.

4. What are some ways to do marketing? Should I even think about that before I have a few customers who are using my product consistently?

5. I've been inspired by the Startup School videos. Honestly though I'm not sure about fundraising and all these things, it seems very intimidating to me. What's the difference between those things and starting a company and slowly building it up?

Comments URL: https://news.ycombinator.com/item?id=37662937

Points: 44

# Comments: 10



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September 20, 2023

Hi folks. I launched my first startup on HN 15 years ago (see my profile), and I wanted to post here again now.

Like my last one, this project comes from one of my life's passions. I have played Magic: The Gathering for 30 years.

My co-founders and I think Magic deserves its own market, and this thinking will lead to dozens of ways to make a great app. We consider what we have an MVP, and we are all going to MagicCon this weekend in Las Vegas to walk around in our Mana Pool shirts and talk to people about the future.

If HN likes the site, I would appreciate you crashing it before we head out tomorrow night!

https://manapool.com/

Comments URL: https://news.ycombinator.com/item?id=37586681

Points: 17

# Comments: 17



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September 10, 2023

erlmacs automatically configures and updates your .emacs file with support for the emacs mode that is included with Erlang/OTP. It frees you from having to locate the installation directory of Erlang/OTP and its bundled emacs mode.

It is an escript that only depends upon Erlang/OTP and Emacs.

Note: There is not much in the way of error checking at this moment, but it does make a backup of your .emacs files before any destructive operations.

Comments URL: https://news.ycombinator.com/item?id=37457609

Points: 9

# Comments: 0



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September 09, 2023

Hello HN!

I've been thinking about the idea of a LLM thats a clone of me - instead of generating replies to be a helpful assistant, it generates replies that are exactly like mine. The concept's appeared in fiction numerous times (the talking paintings in Harry Potter that mimic the person painted, the clones in The Prestige), and I think with LLMs, there might actually be a possibility of us doing something like this!

I've just released a fork of the facebookresearch/llama-recipes which allows you to fine-tune a Llama model on your personal WhatsApp conversations. This adaptation can train the model (using QLoRA) to respond in a way that's eerily similar to your own texting style.

What I've figured out so far:

Quick Learning: The model quickly adapts to personal nuances, emoji usage, and phrases that you use. I've trained just 1 epoch on a P100 GPU using QLoRA and 4 bit quantization, and its already captured my mannerisms

Turing Tests: As an experiment, I asked my friends to ask me 3 questions, and responded with 2 candidate responses (one from me and one from llama). My friends then had to guess which candidate response was mine and which one was Llama's. Llama managed to fool 10% of my friends, but with more compute, I think it can do way better.

Here's the GitHub repository: https://github.com/Ads-cmu/WhatsApp-Llama/

Would love to hear feedback, suggestions, and any cool experiences if you decide to give it a try! I'd love to see how far we can push this by training bigger models for more epochs (I ran out of compute credits)

Comments URL: https://news.ycombinator.com/item?id=37448005

Points: 21

# Comments: 4



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September 09, 2023

I’m in the market for a new desk but I’ve decided I’d like to build the desktop out of wood and buy a height adjustable base. If I’m building it I want to do some interesting, unique, functional things. For reference I’m a software engineer and I’ve been working from home for 4 years with a pretty basic height adjustable desk. Assume I can build anything. That isn’t true but I’ll try :D

Comments URL: https://news.ycombinator.com/item?id=37447980

Points: 22

# Comments: 26



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September 09, 2023

Hey Hackernews, Eric here!

Wanted to share a new website we just built called productonboarding.com (Next.js and RSC). The site has screenshots and videos of product onboarding from companies like Figma, Notion, Framer, and more. It’s sort of like Mobbin for web-based product onboarding.

We build a lot of product onboarding at our startup Frigade, and over the last year we’ve put together an internal library of hundreds of product onboarding examples that we refer to all the time with customers. It helps them find and copy patterns that work at other companies so they don’t need to create net new experiences or A/B test their way into the best performing pattern from scratch.

Given it's been so useful to us, we decided to open it up to the world. We bought productonboarding.com and have started adding examples from our collection and made them browsable and sortable. We’re planning to add new examples weekly.

Hope this is helpful to any of you who are currently thinking through building new onboarding experiences. Would love any ideas and feedback. Thanks!

Comments URL: https://news.ycombinator.com/item?id=37447445

Points: 6

# Comments: 1



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September 02, 2023

This is a side project I've been working on for the last few months. I built an automated system to continuously mirror all the code on PyPI to a series of Github repositories. Mirroring PyPI code to Github enables:

1. Scanning of all new Python packages for accidentally published credentials

2. A browsable/searchable index of published code with a nice UI

3. Large-scale analysis of all published code to see how the language is evolving

Using this project anyone is able to download the contents of PyPI to their personal machine and analyse every piece of code ever published in a matter of hours.

I hope it enables people to do things with the worlds largest and oldest corpus of Python code that wasn't possible before, and while this is likely totally useless to most people I think that is kind of cool and unique.

Comments URL: https://news.ycombinator.com/item?id=37364290

Points: 19

# Comments: 5



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September 02, 2023

Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code.

The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to extend from one of the base classes available.

Contrary to HuggingFace Diffusers, this library is focused on designing and training your own Diffusion Models rather than finetuning pretrained ones (although this is possible).

I would really appreciate your feedback.

Comments URL: https://news.ycombinator.com/item?id=37361736

Points: 4

# Comments: 0



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