nowfound

Alternatives

Products that do what LaminarFlow – AI-native, open-source finance platform for startups does

I'm Yash, and I'm building LaminarFlow — an AI-native, open-source platform to help startups, founders, SMBs, manage their fincial ops more efficiently. It brings together financial insights, banking, invoicing, payment tracking, time tracking, and banking-style reconciliation — all powered by an AI agent that automates the boring stuff. We’re building this as an open startup, sharing everything publicly, and keeping it fully open-source (MIT). Would love your feedback and thoughts!

  1. 1
    Laminar360

    Open-source all-in-one platform for engineering AI products

    2024

  2. 2

    Make smarter investment decisions with AI-driven research

    2024

  3. 3
    Exitfund734

    We make raising startup capital easy using community & AI

    2023 · exitfund.com

  4. 4LO

    Hey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust. How is Laminar different from the swarm of other “LLM observability” platforms? On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI…

    2024 · github.com

  5. 5
    Mantle481

    AI-native cap table management for modern founders

    2025

  6. 6
    Dify.AI261

    Open-source platform for LLMOps, define your AI-native apps

    2023

  7. 7CO

    Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones. Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more. Apple and Google actively went into local AI models recently with the launch of Apple Foundation Frameworks…

    2025 · github.com

  8. 8

    AI finance copilot for cash flow, margins, and growth

    Jun 2026 · veltrix.com

  9. 9FA

    I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…

    2024 · github.com

  10. 10

    Open-source dynamic task engine for building AI agents

    2024

  11. 11DP

    Hey HN! My name's Nadav Hollander, and I'm the Founder of Dharma. Dharma is building an open-source library that makes it really easy to programatically borrow and lend cryptocurrencies using smart contracts on the Ethereum blockchain. Today we're launching our Alpha Testnet release -- a command line tool that allows you to 1. Access a line of cryptocurrency credit from the command line in under 5 minutes 2. Easily build a bot that auto-invests in loans under hyper-customizable, programmable criteria Check it out: https://github.com/dharmaprotocol/dharma-cli Why I Think…

    2017

  12. 12

    AI predicting funding rounds based on startup or VC website

    2023

  13. 13IB

    Hey, just wanted to share with you guys and app that I built and deployed in a day with Lovable. So, as a founder I always wanted to have an advisor but my budget would always be less, then on the other hand hand I had Paul's essays on Startup Advice, which I never read because I was busy building stuff. Hence, I built this product which comes into a sweet spot of both at the same time being more reasonable and capable than the alternative. ps: it's running on a reasoning model and tbh I've been able to gather pretty good insights from it. Note to PG: If you're seeing this. I'm your big fan.…

    2025 · paulgraham.resurrect.space

  14. 14

    AI Financial Intelligence Platform. Board-Ready in 9 Days

    Feb 2026

  15. 15

    AI underwriting agents for VCs, lenders and insurers

    May 2026 · securelend.ai

  16. 16

    Share your LinkedIn. Receive a decision + reasoning in 24h.

    Dec 2025

  17. 17DA

    Hi hacker news, We’re a former PM and software engineer from Robinhood who decide to start an investment bank for startups. In 2023, we had just shut down our previous YC-backed startup Psychic (https://news.ycombinator.com/item?id=36032081). We were one of many startups building generative AI infrastructure long before it had become apparent what the applications were going to be, and it turns out the bet we made was wrong. This might sound familiar to anyone who’s been through the web3 hype cycle, but it was a big learning for us. Around the same time, we noticed a lot of…

    2024 · godealwise.com

  18. 18FF

    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

  19. 19WU

    hey y'all -- can you please tell us if our job search tool sucks? :D we built it using an investor platform called Harmonic.ai to gather startup data, then contextualize it so that job seekers could find out about the most exciting startups hiring first (like if they just raised, growing headcount fast, have an ex-unicorn founder, etc). pretty sure we're the first platform doing anything like this. anyway, let me know what you think. really excited to launch this thing soon! getting feedback from the hn community first is really fun :)

    2022 · joinmaasive.com

  20. 20VA

    We built an AI automation tool / app builder. Our site lets you create automations by composing "pipelines" that connect different units of functionality, including vector stores and third-party integrations. In addition to a drag-and-drop no-code editor on our website, we also wrote a Python library that allows you to create these tools through code. We'd love to hear your thoughts and feedback!

    2024 · vectorshift.ai

  21. 211R

    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

  22. 22BS

    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

  23. 23WR

    Tl;DR Save 60% of development effort building your SaaS and enterprise apps using our open-source platform, demo: https://www.youtube.com/watch?v=gob4j072Isg Hi friends, It's a bit surreal writing a Show HN post, being a HN member since 2012, but I'm still excited to be here. We are Arek and Michal (hn: mgl), and we have published Openkoda - an open-source low-code platform for the rapid development of SaaS and enterprise applications. OUR STORY We met at the university and spent the next 10 years building high-performance applications for finance, eCommerce and travel…

    2024 · github.com

  24. 24DA

    Over the past few months, I have built a distillation toolkit that supports cross-tokenizer distillation (e.g., distilling from LLaMA to Qwen vocab, or others). This approach has worked well on reasoning datasets like AIME, and we’ve validated on models like Phi and Qwen. We’ve also integrated Modal for quick deployment (with $30/month credits to try it out). Would love any feedback! GitHub: https://github.com/agokrani/distillKitPlus Docs: https://distillkitplus.mintlify.app/

    2025 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →