We launched Supernovas AI LLM for teams and businesses that need more than what a single AI provider can offer.
It can be frustrating hopping between different AI tools, juggling API keys, and getting locked into one provider’s strengths and weaknesses.
Supernovas AI is one place where you can:
- Chat with *every top AI model* from OpenAI, Anthropic, DeepSeek, Mistral, plus hundreds of models via OpenRouter – all from a single account.
- Use a *knowledge base* – upload PDFs, spreadsheets, docs, images, or connect databases/APIs so the AI actually knows your context.
- Automate workflows with *MCP and AI agents* – connect to your databases, web browsing, code execution, integrations with tools like Notion, Microsoft 365 and more.
A few things that make it different from just using OpenAI or Anthropic directly:
- You’re not tied to one model – pick the right one for each job.
- It’s *multi-modal* – text, code, images, spreadsheets, PDFs all in the same workspace.
- You can combine your private data with public LLMs securely.
- You can choose to purchase credits as you go or subscribe to a monthly plan for easier usage.
Setup is just 1 click and takes minutes – no complex configuration required. It’s the easiest way to get AI access for your whole team within a day or two.
We’d love feedback from the HN crowd – what would make this more useful for your business or team?
I built Palette by Momo (https://www.palettebymomo.com) for fun, to democratize seasonal color analysis. Traditional color consultations cost $100-300 and require in-person appointments, but I wanted something instant and accessible that anyone could use from their phone.
Seasonal color analysis helps people find the most flattering colors for their skin tone, hair, and eyes. It's incredibly popular on TikTok and Instagram, but professional consultations are geographically limited and costs $100 to $300. I tried a couple of other apps and my attempts often fail because it's genuinely difficult to assess your own coloring objectively.
I integrated the SkinToneClassifier library (https://github.com/ChenglongMa/SkinToneClassifier), which uses face detection, skin segmentation, and k-means clustering to determine skin tone categories. The library is actually quite elegant - it extracts dominant colors from detected facial areas and maps them to established color palettes used in professional analysis. I used FastAPI for the skintone analysis backend and really liked the developer experience.
The FastAPI endpoint processes the uploaded image, runs it through the skin tone classifier, and returns a comprehensive color palette tailored to the user's analysis.
How It Works:
Upload a photo → User submits a clear photo of their face
AI analysis → The system analyzes skin tone, hair color, and eye color
Personalized results → Get a comprehensive custom palette.
The entire process takes about 2 minutes and users love having instant access to personalized color analysis that would otherwise require expensive appointments. It's a perfect example of how AI can make specialized knowledge accessible to everyone.
Have updated this and it's live, "free" will be selected upon sign up instead of "choose a plan", you won't be needing any other inputs. Let me know if you've any other questions :)
Sorry for the confusion, select the Trial ($0/month) option and the credit card inputs will disappear. I'll make an update to make this more clear, great to have this feedback.
I just wanted to share my new app with you that solves a problem I was having with ChatGPT's interface. I found the text input area to be too small for me to copy/paste and edit larger volumes of text. Plus, I couldn't save and edit specific prompts that I wanted to reuse. Many times I find it cumbersome to think of and type full prompts and wished an app would just do that under the hood.
So, I created an app that has more of a text input/output side-by-side interface instead of a chat format. It's been a game-changer for me and has increased my productivity and made my prompting process a lot smoother.
If you're interested, feel free to check it out and let me know what you think!
AyaIQ (https://www.ayaiq.com) – the tool that takes the pain out of ChatGPT prompting. You’ll enjoy an intuitive interface that makes it easy to write, edit and save prompts. Plus, with a curated list of prompts, you’ll always know exactly what to say.
Here are just a few of the advantages of using AyaIQ:
1. Seamless Prompting Experience: A spacious text input area and a side-by-side prompt request and response display for an easy-to-use, intuitive interface.
2. Personalized Prompt Library: Tailor the prompts to your specific preferences and save them in your personalized library for use whenever you need them.
3. Handpicked Prompts: Diverse range of meticulously curated prompts are designed to inspire your creativity and enhance your work.
And there's more to come. I’ll update the app with features such as:
- web access and crawl
- document/speech/image uploads
- Claude and Google Bard integration (it’ll be great for users to have access to 3 LLMs in one app/subscription),
Thanks for asking, this is a really good question!
In the JumpAsync app, the huddle topic and agenda are displayed on the main huddle page as well as the page where participants are recording their thoughts, it helps participants keep the topic on track.
In the agenda be sure to ask questions that points to an outcome if that's the goal of the huddle. Participants can interact and comment on each other’s recordings and discuss outcomes.
All the recordings are automatically transcribed so it's possible to go through them and note down outcomes and action points in a section on the huddles page.
I'd like to think that asynchronous communication is more deliberate and succinct than casual chats or meetings. People tend to organise their thoughts and think though what they say more intentionally and hopefully that drives more meaningful discussions and outcomes. Especially when participants know that responses can take up to 24 hours!
This is definitely the hard part of running distributed meetings. In the future I'd like to add more features to facilitate an outcome-driven approach to meetings. Let me know if you have any feature suggestions that can help with this.