I have a couple. A fun one is catchingkillers.com. Here you are a private investigator who is trying to find out who committed a murder. Two stories are active. The third, bathtub one, isn't done.
I made a financial chat bot. It can call some APIs, perform portfolio weight optimizations, run optimized weights out of sample, stores your past works, presents correlation heatmaps and shows equity curves. It can also hallucinate endlessly about taking over the world.
Can you please create a simple UX to connect to the database like username, password box etc. I just an error right now saying invalid dsn, but does not tell me what is wrong.
We've built Cradle, a framework that leverages such models to perform complex computer tasks via the same general interface humans use: screen as input and keyboard & mouse operations as output.
It works both on regular software and in complex games like RDR2. And it doesn't cheat by using any game-/software-specific API, nor accessibility calls, nor DOM trees. :)
It’s a browser extension that lets you capture a portion of the webpage —> the image gets sent to an LLM with a prompt —> the LLM gives design feedback inside the extension
As far as I know, this is the only tool I’ve seen that does this, and it’s completely free. It’s called Design CoPilot, and I haven’t done any real marketing yet as it’s in Beta.
Before I built this, I would manually screen capture components, then go to ChatGPT and drop the image, write a prompt telling ChatGPT it’s a design expert and I want design feedback, and then read its reply and implement the feedback.
I’d greatly appreciate if you try the tool and leave a review!
Just a quick thought about the name. Microsoft/GitHub's coding assistant is Copilot. If your project gets traction, I'm certain you will receive a cease and desist letter for using the name Design CoPilot.
This is what I thought the future will be like since years ago. Everybody is going to be harmless since llms will translate and cushion, or outright censor any problematic communication.
I explored whether this could be helpful in an online dispute resolution platform. The system could detect insulting or angry messages that threaten to derail a conversation, and suggest a more neutral way of formulating them. I think it's promising!
For a long time I've wanted to write a self-censoring browser tool that sits between my social media forms and the HTTP call that sends what I type. It was going to be rudimentary: when you hit "post" on FB/TWT/etc., some quick sentiment analysis happens and prompts the user—upon detecting negative speech—"are you sure you want to send this?"
The idea is that you have actual triggers to remind you to be kind. Nextdoor has something like this, if you use profanity or other charged words, it will gently nudge you: remember to be kind.
(Obviously, if you know Nextdoor, this doesn't work. Lotta "random minority is scaring me by existing near my house")
But incorporating an LLM might be awesome. I am not wedded to the idea of censoring incoming speech, but I'd sure like to be nudged if I am being a problem.
There used to be a web-based tool you could give it your Reddit username, and it would do an analysis of your posts and give you statistics and a kindness score (or something like that).
I found that my enjoyment of the website went up by regularly running that script, because it reinforced that I should be kinder online (I find this more difficult than in meatspace), and by being kinder, it was far less likely I'd get a mean response, which lowered stress levels.
Maybe this would be a useful project to work on. A browser plugin of some kind, if Monkeyscript or something can use Rust-based web workers. I really don't know where browser tech is these days.
I've been coding more in C because ChatGPT makes it less tedious. Any simple command line tool I will usually write in C now instead of Python because the end result is way faster.
I'm building a simulated fantasy town backed by an LLM. Visitors to the website can vote on what the hero does next, and everyone in the town will react naturally to all of the heroes actions.
Unlike previous efforts in this space, the technique I am using consumes very little context, and I'm hoping to get it running on consumer GPUs.
Interview Copilot for helping you ace your live coding interviews. Desktop app + companion web mode so it's truly undetectable by interview platforms, controlled by global hotkeys.
Cheating on what, the computer vetting process? Maybe companies should actually interview people in person, then they wouldn't have a problem anymore.
Good candidates are swirling around in the limbo of bad faith automated vetting tools, companies shouldn't be surprised if they use technology to get past the humanless gauntlet. Getting to a human who can genuinely reason about the complex value of a specific human in a specific team should be priority number one, for both candidate and hiring process.
I've built an LLM powered Anki clone - https://vocabuo.com. In my language learning journey, I've found that adding each word manually, with audio, image and a sentence example was just too tedious, so in Vocabuo, I add a word and LLMs + dalle + google tts generate the rest.
Currently it supports English, German and Spanish, but I plan to add more languages in the future.
As a bonus you can also add words from yt videos and websites.
I built a cron job that calls a bash script that gets the current weather forecast for a location and extracts the values and then sshes to another server where it inserts the values into the footer html block of all files ending with .html every hour
I built a service that turns entire websites into structured output: https://sitewideai.com
You enter a starting URL, describe the data you want in a prompt, the AI suggests columns for the output spreadsheet which you can customize, and then goes off and turns the website into structured data into a CSV file.
It also supports limits, you can say for example "visit at most 100 pages" and it will stop after 100 pages.
It was easier said than done to get prompts working as intended and the crawler to focus on the most relevant URLs first. As always, the final 20% end up taking up 80% of the development time.
Not built but planning to build a government knowledge repository with prompt query for intuitive and interactive understanding of government agencies operational documents including the Acts, Policies, SoP, Guidelines, Memo, etc based on LLM and RAG that can run locally using open source LLM model.
It's similar to this AI-driven chat assistant for ECE 120 course at UIUC:
Not much yet except a little email wrapper around the top LLMs. Now I can send an email to claude@goodbot.club or gemini@goodbot.club and get an answer in a few seconds.
I found in a recent project that it was interesting to compare the answers between GPT, Gemini, Claude, and Mistral. I have better results by combining the parts I like in each answer. It's also easier to ask follow up questions directly from my email client regardless of which device I'm currently using.
I built the app in a weekend with Ruby on Rails and AWS SES. I'm now wondering if it could be useful to other people? It's already open source and I could probably make the hosted version free by allowing users to provide their own API keys.
We built hoop.app which uses LLMs to detect your tasks and work priorities from your chat messages, meeting transcripts and emails.
The goal is to take all of the busy work out of task management so you can always know what your focus should be on and not waste brain power worrying about missing something important.
I built a text summarizer, key word generator for drilling reports (for co2 sequestration) to try and encapsulate expert knowledge taken when drilling into regression models that predict things like the amount of alterable rock available for co2 storage. It kind of worked.
77 comments
[ 3.9 ms ] story [ 149 ms ] threadNow my product manager and customer support teams use it for most small questions / charts needed.
It works both on regular software and in complex games like RDR2. And it doesn't cheat by using any game-/software-specific API, nor accessibility calls, nor DOM trees. :)
https://baai-agents.github.io/Cradle/
And we're still evolving it.
https://www.tailoredpod.ai
I suck at web design, so I built a novel tool [0] that streamlines this flow:
webpage —> screen capture —> LLM prompt —> design feedback
It’s a browser extension that lets you capture a portion of the webpage —> the image gets sent to an LLM with a prompt —> the LLM gives design feedback inside the extension
As far as I know, this is the only tool I’ve seen that does this, and it’s completely free. It’s called Design CoPilot, and I haven’t done any real marketing yet as it’s in Beta.
Before I built this, I would manually screen capture components, then go to ChatGPT and drop the image, write a prompt telling ChatGPT it’s a design expert and I want design feedback, and then read its reply and implement the feedback.
I’d greatly appreciate if you try the tool and leave a review!
[0] - https://chromewebstore.google.com/detail/design-copilot/hgal...
https://impersona.chat/
I also built this incremental clicker game where you split words ad infinitum (like Infinite Craft but in reverse):
https://lantto.github.io/hypersplit/
https://arxiv.org/abs/2307.16732
The idea is that you have actual triggers to remind you to be kind. Nextdoor has something like this, if you use profanity or other charged words, it will gently nudge you: remember to be kind.
(Obviously, if you know Nextdoor, this doesn't work. Lotta "random minority is scaring me by existing near my house")
But incorporating an LLM might be awesome. I am not wedded to the idea of censoring incoming speech, but I'd sure like to be nudged if I am being a problem.
There used to be a web-based tool you could give it your Reddit username, and it would do an analysis of your posts and give you statistics and a kindness score (or something like that).
I found that my enjoyment of the website went up by regularly running that script, because it reinforced that I should be kinder online (I find this more difficult than in meatspace), and by being kinder, it was far less likely I'd get a mean response, which lowered stress levels.
Maybe this would be a useful project to work on. A browser plugin of some kind, if Monkeyscript or something can use Rust-based web workers. I really don't know where browser tech is these days.
Unlike previous efforts in this space, the technique I am using consumes very little context, and I'm hoping to get it running on consumer GPUs.
- tool to manage examples dataset for another ai application
- macos transcribe app that allows me to hotkey to speak to notion page, with a little status bar menu to select pages
All relatively trivial but I'd never bother to create them manually
Link: https://acciomatrix.com
Waisting other people's hours more efficiently.
It's fair game to: a) use any tool to automate solving this b) See it as I giant red flag for bad corporate culture
Interview Copilot for helping you ace your live coding interviews. Desktop app + companion web mode so it's truly undetectable by interview platforms, controlled by global hotkeys.
Good candidates are swirling around in the limbo of bad faith automated vetting tools, companies shouldn't be surprised if they use technology to get past the humanless gauntlet. Getting to a human who can genuinely reason about the complex value of a specific human in a specific team should be priority number one, for both candidate and hiring process.
Also made https://resgen.app to help candidates tailor resumes
Currently it supports English, German and Spanish, but I plan to add more languages in the future.
As a bonus you can also add words from yt videos and websites.
You enter a starting URL, describe the data you want in a prompt, the AI suggests columns for the output spreadsheet which you can customize, and then goes off and turns the website into structured data into a CSV file.
It also supports limits, you can say for example "visit at most 100 pages" and it will stop after 100 pages.
It was easier said than done to get prompts working as intended and the crawler to focus on the most relevant URLs first. As always, the final 20% end up taking up 80% of the development time.
It's similar to this AI-driven chat assistant for ECE 120 course at UIUC:
https://www.uiuc.chat/ece120/chat
https://github.com/Merkoba/Meltdown
100% made in Python (and tk). I made my own markdown parser.
Hundreds of commands and command line arguments.
I use it everyday myself.
I found in a recent project that it was interesting to compare the answers between GPT, Gemini, Claude, and Mistral. I have better results by combining the parts I like in each answer. It's also easier to ask follow up questions directly from my email client regardless of which device I'm currently using.
I built the app in a weekend with Ruby on Rails and AWS SES. I'm now wondering if it could be useful to other people? It's already open source and I could probably make the hosted version free by allowing users to provide their own API keys.
https://github.com/vinc/goodbot.club
The goal is to take all of the busy work out of task management so you can always know what your focus should be on and not waste brain power worrying about missing something important.