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Ekselio

Local-first finance workflow automation tool for spreadsheet-like tasks.

SaaS Professional services Show HN · launch post · ▲ 43

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gptbeyond.com

What it does

Ekselio is a browser-based finance workflow automation tool. Users describe a finance task in plain language, and the tool builds an analysis step by step on a visual canvas. Each number in the output links back to the step that produced it, making calculations auditable. The tool runs entirely in the browser using DuckDB-WASM, meaning data files never upload to external servers.

Who it is for

Finance professionals handling spreadsheet-like tasks—analysts, M&A team members, and others doing calculations on structured data. The tool targets people who want transparency in financial workflows and prefer not to send raw data offsite.

Pricing

The site does not show prices.

How it stands out

Two features distinguish Ekselio. First, it operates local-first: all computation happens in the browser, which addresses privacy concerns around sensitive financial data. Second, it combines natural language input with a visual workflow canvas, positioning itself between conversational AI and traditional spreadsheet tools. The traceability of every number to its source step adds an audit trail that spreadsheets lack.

The creator brings 20 years of finance and M&A experience, which influences the product's focus on workflows that matter to that sector rather than general-purpose automation.

What a founder should check

Incumbent switching costs. Excel and Google Sheets dominate finance workflows because they are already embedded in teams, integrate with existing systems, and require no learning curve. A founder should assess how much friction it takes to move a finance team to a new tool—even one with better auditability—and whether the speed advantage justifies retraining and integration work.

Data size and performance limits. Browser-based tools using WASM have computational ceilings. Verify whether Ekselio scales to the data volumes finance teams actually work with. If it chokes on large datasets, adoption will be limited to teams handling smaller analyses.

Clarity on the business model. No pricing is visible on the homepage. A founder should understand whether this will be a free tool, a freemium product, an enterprise play, or something else—and whether finance professionals will pay for auditability and local processing versus the free alternatives they already use.

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