Alternatives
Products that do what Pluto – AI for investing, data visualization, automation and analysis does
Hey HN! I'm Jacob Sansbury, a software developer and founder of Pluto. After working at Bridgewater Associates and moving to San Francisco, I decided to combine my passion for software development and finance to create Pluto – an AI-driven platform that revolutionizes the way retail investors manage their finances. Today, I'm excited to share our beta with you: https://pluto.fi/ Pluto is built with a combination of Next.js and Python, running on K8s and Kafka. Our AI Copilot, Plato, uses a three-part system (thinkers, actors, and communicators) to analyze data, execute…
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Quick background: I used to code. Studied it in school, wrote some projects, but eventually convinced myself I wasn't cut out for it. Too slow, too many bugs, imposter syndrome — the usual story. So I pivoted, ended up as an investment associate at an early-stage angel fund, and haven't written real code in years. Fast forward to now. I'm a Buffett nerd — big believer in compound interest as a mental model for life. I run compound interest calculations constantly. Not because I need to, but because watching numbers grow over 30-40 years keeps me patient when markets get wild. It's basically…
Jan 2026 · calquio.com
- 4WT
I figured I needed to work on my coding skills before building the next groundbreaking AI app, so I started working on this free tool site. Its basically just an aggregation of various commonly used calculators and unit convertors. Link: https://www.calcverse.live Tech Stack: Next, React, Typescript, shadcn UI, Tailwind CSS Would greatly appreciate your feedback on the UI/UX and accessibilty. I struggled the most with navigation. I've added a search box, a sidebar, breadcrumbs and pages with grids of cards leading to the respective calculator or unit convertor, but not sure if…
2025 · calcverse.live
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Hi HN, We’re a small team working on 13Radar.com, which we launched about two weeks ago after 4 months of development. I’m the founder, and together with the team we’re building a platform that tracks hedge fund portfolios in real-time based on SEC Form 13F filings. AI has been a major helper in our workflow. For a single webpage, we often consult multiple AI systems in parallel, generating different versions and comparing them side by side before deciding on the final design or implementation. More than 60% of the research, design, and coding involved AI assistance. For UI design we used…
Nov 2025 · 13radar.com
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A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…
2025 · github.com
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Hi HN! I’m Thunder. Longtime lurker and first time poster. I’m excited to present Moneta (https://moneta.studio/) with my co-founder Rob. *Moneta is a conversation-as-code platform for building multiplayer AI-native applications in which the AI can reactively update the application based on interactions with users or other AI via CRDTs.* The key idea is that rather than using a conversation to generate an application, in Moneta the conversation *is* the application. We call this idea 'conversation as the engine of application state' (CATEOAS). This means that instead of saying…
2025
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Hey folks! I'm a founding engineer at Yorph AI, an agentic data platform, built using ADK, that helps users (starting with product managers and analysts) join data from different sources (upload or sync), build version-controlled and reliable data workflows, and clean, analyze, and visualize data — all in one place. We're also releasing semantic layer creation later this week. The beta is live at yorph.ai/login — would love to hear your thoughts and feedback! (FYI: We're still waiting on Google app verification — you'll see a warning for a few days. Dropbox shows a similar one since…
Nov 2025 · yorph.ai
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Hey there, fellow builders and makers! It has been busy in the machine room for that last 12 months. I have received many requests in the past to share my private finance AI-toolset with a wider audience. Hence, I'm super excited to share PinkLion, an AI-based Copilot for your investments. The tool was created to help investors make better & more rational investment decisions using the power of machine learning. https://pinklion.xyz/ The problem Investing in the stock and crypto market can be a daunting task, with countless factors to consider and a vast amount of information…
2023 · pinklion.xyz
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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
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Hi HN, I’ve been working the past year on something called Prototyper , and today we’re opening up the new version. The motivation is simple: whenever I built products in the past, I noticed the best ideas came after the “first version.” You try something, it feels wrong, you change it, repeat. Most tools make that painful. Prototyper is my attempt to make that loop natural—so you can explore ideas quickly instead of forcing them through a rigid workflow. This release includes: instant updates (no compile/refresh lag) simplified UI (months spent just removing steps) responsive by…
2025 · getaprototype.com
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I've been using this daily for 4 months and figured others might find it useful. This is my first open source project so would love any feedback. Ray connects to your bank via Plaid, stores everything in an encrypted local SQLite database, and lets you ask questions about your finances in natural language. No cloud, no account, your data is stored on your machine. Before anything reaches the LLM, all PII is stripped — your name, companies, transaction details are redacted and replaced with tokens, then rehydrated locally in the response. The AI never sees who you are.
Apr 2026 · rayfinance.app
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Hey folks, I'm Yuval. I run a tiny startup called Glitter AI. It's just me full-time here, with a couple of freelances to help here and there. A couple of months ago, I went from managing zero requests to hundreds -- overnight (won Product of the day on Product Hunt). As someone who gets VERY easily distracted (maybe you relate), I had to find some sort of way of handling all the chaos if I didn't want to burn out. I came up with a pretty cool automation flow that I thought folks on HN here may be interested in reading about :) So here goes: Most of my interactions come through Intercom.…
2024
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Hi HN, we’re Taylor, Colton, and Jason and we’ve been building Hedgehog.app - a robo-adviser for cryptocurrency that is registered and examined by the SEC*. Hedgehog automatically manages diversified portfolios of cryptocurrency for retail and institutional investors, and tracks your holdings wherever they are: Cefi or Defi. We know that HN tends to be divided on cryptocurrency-related topics, with some people interested and involved and others skeptical or critical. Obviously we find ourselves in the prior camp, but we also completely agree that the cyclical excessive hype and outright…
2023 · hedgehog.app
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Hey HN! I'm Alex, one of the co-founders at Global Predictions. We are officially launching PortfolioPilot today! Since starting the company 2 years ago, we’ve been working tirelessly to build a personal portfolio management platform that empowers everyday people to feel more confident investing. We focused on aggregating your entire net worth, evaluating across a set of standardized metrics, and offering suggestions based on our commercial-grade Macro Insights & Recommendation Engine. We started by building a product we wanted to use and iterated and refined based on early user feedback. We…
2022
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Hey HN, For the last couple of months, we have been building an AI agent for continuous statistical analysis, and we're looking for feedback while it's still early in development. We call it BIGWIG - an autonomous agent that is specialised, and very good at, performing advanced statistical analysis, through long traces of iteration and reasoning. As it builds statistical models it also "emits" outputs back to the user that you can then interact with, iterate on and schedule for follow up analysis. While we're still in BETA, we've launched a public analysis site that showcases some of the…
2025 · askbigwig.com
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I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
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Today we're releasing Quant (https://sourcetable.com/quant), an AI analyst that connects to 600+ exchanges with 1000+ built-in analysis tools. Andrew, CTO, has a background building software at hedge funds so we put his knowledge and experience into this application. The core idea: if you already know spreadsheets, you shouldn't need to learn Python/R or set up complex infrastructure to do serious quantitative analysis. One way to think of Quant is a low-cost Bloomberg Terminal alternative. What's inside: Portfolio optimization (including Dalio's risk parity approach),…
Oct 2025
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For the last few months I have been analysing Peter Lynch’s books on stock picking and doing prompt engineering to check if AI could create useful stock analyses. To my surprise it started making reports that allow me to understand companies much faster with well cited sources. I hope you find it interesting and useful :) Perter Lynch’s books I analyzed: Learn to earn, One up on Wall Street, Beating the street
Jun 2026 · github.com
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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!
2024 · saas-quick.com
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Hi HN! Solo developer here. 10 days ago, I started building this after spending countless hours copying/pasting marketing sections and fighting to keep them consistent with our design system. I wondered: "What if AI could understand our design system and generate React components that actually match it?" Current progress (10 days in): - Can generate hero sections that follow your design tokens - Uses your actual component variants and styles - Works with Next.js, Tailwind, shadcn/ui It's very early days, but I'm excited to share it with other devs who: - Are tired of rebuilding…
2024 · robustlaunch.com
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