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!
LaminarFlow – AI-native, open-source finance platform for startups launched on May 31, 2025 with 7 votes, #3,816 of 7,905 launches that month and more than 75% of that year's launches.
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Outlit2024 · outlit.ai · ▲368Hey HN, I'm Leo, a cofounder at Outlit. After a year of coding, we have finally launched Outlit. Outlit was born post ChatGPT when we realized that AI can help empower everyday people to take on contract work and not have to rely on expensive lawyers all the time. Right now we are mainly focused on SaaS Agreements but have playbooks for other agreements (Partnership, Services, NDA). We also have a cool knowledge base feature that lets you semantically search across all your contracts. Would love some honest feedback. Thanks HN.
Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in Rust2024 · github.com · ▲203Hey 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…
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