Ekselio

Ekselio is pitched as "Lovable for finance workflows" — a local-first AI workflow orchestrator built by a finance veteran, not a software engineer. You describe a data transformation in plain English, and its AI workflow builder compiles it into a visual pipeline: load CSVs, join customers with orders, filter high-value transactions, group by date, and export the results — all executed locally in your browser.

The demo runs a full 6-node workflow on real data (5,000-row orders, 1,200-row customers) and completes it in seconds with a console that narrates every step. Workflows can be saved and re-run next month with one click — no token burn for the same job twice — and exports come as Excel data packs with M code, which keeps auditors happy. It plugs into QuickBooks and pulls from 800,000+ FRED macro-economic series plus stock data.

Author kdautaj spent 20 years in finance and M&A before building Ekselio as a side project. On Hacker News he frames it explicitly against other vibe-coding tools: "Differently from other vibe coding tools, this is local first…" — the execution never leaves your machine, which is the whole point when the data is a company's financials.

Why it stands out

Most AI-for-finance products are thin chat wrappers over a spreadsheet. Ekselio's bet is the opposite: a durable, re-runnable workflow canvas where the LLM does the schema mapping once and the browser does the computation every month after. For finance operators who re-run the same close-the-books routines on a schedule, that split between AI setup and local execution is the right division of labor.