LaminarFlow – AI-native, open-source finance platform for startups
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!
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- DPDharma – Programmable Peer-To-Peer Loans Using Ethereum Smart Contracts2017 · ▲156
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…
Predictive Investments by Parsers VC2023 · ▲173AI predicting funding rounds based on startup or VC website
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2025
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Life & fun · 2025 · felixrieseberg.github.io
