Keep your tools. Connect the dots.
Start with a CSV export. Our roadmap expands to your billing, commerce, traffic, and database sources — bringing scattered signals into one understandable picture.
Planned workflow: CSV → structured dataLess reporting. More understanding. We’re building AI analytics that connects your business numbers, explains what changed, and helps you find your next move.
Request early accessMVP in development.April revenue is $2,800 higher than March. To understand the increase, look at new and returning customers separately.
Comparison: March → April · Sample explanationThey contributed $2,500 of the $2,800 increase. New customers contributed $300. A total alone would miss that distinction.
Calculation: $14,500 − $12,000 = $2,500Explore returning customers by cohort. This sample shows the source of the increase; it does not establish why customers returned.
Suggested investigation · Not a causal conclusionExplore the experience we’re building. This preview uses fictional data and predefined explanations. Inspect the sample data.
Revenue, orders, traffic, spreadsheets. Our vision is one place to ask what it all means — starting with CSV, then connecting the tools your business runs on.
Connector roadmap: these integrations are not live yet. Tell us which source you need first.
For founders and small teams who need to understand the business, not spend the day stitching reports together.
Start with a CSV export. Our roadmap expands to your billing, commerce, traffic, and database sources — bringing scattered signals into one understandable picture.
Planned workflow: CSV → structured data“Why did revenue grow?” “Which customers came back?” Our planned Claude workflow turns those questions into analysis steps, then explains the results from verified calculations — with the source visible.
Planned workflow: question → analysis → explanationAn answer is only useful if you can follow it. Our design pairs plain-language explanations with source data, verifiable calculations, and visible uncertainty — so you can judge the result yourself.
Design goal: traceable evidence, visible limitationsGet closer to the numbers that matter. Request early access and tell us the business question you want answered. Your workflow can help shape our first release.
Request early accessInsighto is a product initiative by Kaan Akdeniz. MVP in development. No payment or commitment required to express interest.
Tell us what you track and what your current reports can’t explain.
We’re preparing data imports, verified calculations, and AI-assisted explanations. Claude integration is planned.
Shape our connector priorities: Stripe, Shopify, Sheets, GA4, and PostgreSQL.
Not yet. This page introduces a planned product. The example uses fictional data and predefined explanations; there is no live analytics service or Claude integration behind it.
We plan to use the Claude API to interpret questions, select constrained analysis tools, and explain their results. Calculations will run separately from the model, and explanations will reference the data they came from. We’ll evaluate numerical accuracy, source grounding, and cost before inviting teams to a pilot. This integration is not live yet.
Founders and small business teams who want to understand changes in their metrics without maintaining a complex analytics stack. We are refining the initial use case.
The early-access button opens an email to the founder at info@kaanakdeniz.com. Tell us your business question and preferred data source. We’ll reply personally; this is an expression of interest, not an active account or guaranteed launch date.
These values were authored for this illustration. They describe no actual business or Insighto customers.
| Month | Returning | New | Total |
|---|---|---|---|
| January | $10,300 | $6,900 | $17,200 |
| February | $10,300 | $8,300 | $18,600 |
| March | $12,000 | $10,000 | $22,000 |
| April | $14,500 | $10,300 | $24,800 |