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Alternatives

Products that do what R0Y OMNI 1.0 does

Generate more accurate investment dashboards and reports

  1. 1
    R0Y207

    Natural language to Investing dashboards in seconds.

    Apr 2026

  2. 2

    The end-to-end model powering multimodal chat

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  3. 3

    A native omni model for voice, video, and tools

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  4. 4

    Stop babysitting your AI agents

    20d ago · chat.xpander.ai

  5. 5

    Your life in 777 free calculators

    2019

  6. 6

    Live stock prices, research terminal & investment analytics.

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    Omni.us107

    Revolutionize your B2B outreach & win dream clients

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  8. 8

    Over 350 calculators in one place 🤓

    2018

  9. 9

    Native end-to-end multilingual omni-modal LLM

    Sep 2025

  10. 10
    Qooore199

    Investing app for GenZ

    2020

  11. 11FF

    I started leaning in on AI heavily this year, as I wanted to get more done autonomously, but then my token usage climbed dramatically to the point where my weekly quota would run out before the end of the week, sometimes a couple of days into the week. I realised I had to do something about it else I'd have to double my spend. So I decided to start tracking my cost per task type. This revealed that a lot of my spend went to searches/scans or simple things like scouting tasks. I then decided to turn this into a simple CLI tool that can be used to read your OpenAI-style logs locally, and…

    Jul 2026 · github.com

  12. 12
    Atlasly86

    Your site did 5 days of research. We did it in 60 seconds.

    Mar 2026

  13. 13

    AI powered Business Intelligence with Interactive Dashboard

    2025

  14. 14

    AI- Powered Digital Ads for Fintech Startups

    2020

  15. 15
    Atlas7

    A world model for spatial intelligence

    4d ago · worldlabs.ai

  16. 16BS

    Built a free open source agentic CLI tool for financial modeling & analysis. Hadn't played around with real equity valuation modeling for awhile and wanted to build tooling to get myself back into the game. Bull.sh lets you query & store 10-Qs, 10-K in a local vector store to chat with them, build investment thesis from scratch or build full framework models through the CLI to export into excel. It's open source, just requires your own Anthropic API key and (optionally) AlphaVantage Free API key if you want save some tokens from scraping. Feel free to play around with it. Some ideas I have…

    Jan 2026 · github.com

  17. 17CO

    I built Captan (https://github.com/acossta/captan), a tiny open-source CLI tool for managing startup cap tables. Instead of juggling spreadsheets or paying for expensive SaaS cap table solutions, Captan stores everything in a simple JSON file that you can version-control in Git. It supports: - Stakeholders (founders, employees, investors) - Security classes (Common, Preferred, Option Pool) - Share issuances - Option grants with vesting schedules (monthly, cliff) - SAFEs (record + simulate conversion at a priced round) - Cap table math (Outstanding vs Fully Diluted) -…

    2025 · github.com

  18. 18DT

    Hello Folks, I am an indie developer, For the last 5 months I was freelancing by building GPT-powered chatbots. One of the challenges I faced was not having visibility into my OpenAI costs. This is why I have built a dashboard to get a complete breakdown of my OpenAI API usage through network calls from OpenAI. Please give it a try & help with feedback on how I can further improve the product,which can really add value and save some money. Note: 1)I found this API through the network logs of the billing screen. 2)The tool stores the OpenAI Key locally on the browser.

    2023 · puddl.io

  19. 19IA

    Hey HN, I wanted to make my life easier by using GPT products that could convert my words to raw MongoDb queries. - Uploading large datasets (50-70GB) in CSV format wasn't feasible for me. - MongoDB does have a "Generate query" feature, but it requires an Atlas subscription. My database is self-hosted. - Plus, I wanted the flexibility to use my own OpenAI API keys instead of paying extra for any GPT-based services available. So, we developed a product that tackles these challenges. It's still a work in progress, but I'd greatly appreciate any feedback.…

    2024 · vairflow.ai

  20. 20LR

    Hi! My OpenAI costs started going up recently and I hated how I couldn't figure out which model was costing me more? The OpenAI usage page (https://platform.openai.com/account/usage) gives a nice overall breakdown, but it doesn't go into detail about cost / model, token usage, and # requests. So I reverse engineered their API to make a better dashboard, and then made it free to use. Try it out and let me know what you think. Also please tell me what other features you wish existed here https://platform.openai.com/account/usage but doesn't yet.

    2023 · llm.report

  21. 21IB

    I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!

    Jul 2026 · laurentiugabriel.github.io

  22. 22FF

    Hey HN, I'm Steve, co-founder of Factor.fyi, a new data platform for querying and visualizing financial datasets using SQL. During the pandemic, I took much more of an active role in managing my portfolio. I wanted to be able to make informed decisions about the investments I was making, and explore financial data in new ways. Market and Econ data are some of the most talked-about and widely-available datasets out there, but I was frustrated by the lack of options to answer questions I had, like, "What would have happened if I had started dollar-cost averaging VTI back in 2013?"[1] Or, "How…

    2022 · factor.fyi

  23. 23FA

    Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…

    Jul 2026 · github.com

  24. 24IB

    I’m building a public dashboard to track all the investments I make for my newborn son. Crypto, dividends, growth, milestones. You can follow the project here: [mattiasassets.com] Feedback welcome!

    2025 · mattiasassets.com

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