Flowsery Relaunches as AI Session Analysis Tool That Finds Issues and Drafts Fixes

Flowsery has moved from privacy-first web analytics to AI session analysis. It records user sessions as DOM replays and reviews each one with AI, detecting rage clicks, dead clicks, errors and drop-offs. Related sessions are grouped into one ranked issue and sent to Slack, Linear or Jira with the replay and steps to reproduce. Tag @flowsery in Slack and it opens a draft pull request in your repo. Analytics and revenue attribution stay in the same dashboard. Available now from $250 a month.
GDANSK, Poland - Aug. 26, 2026 - Flowsery, a Polish software company, moved from privacy-first web analytics to AI session analysis on July 14, adding a feature that reviews recorded user sessions and reports what went wrong to product and engineering teams.

The new capability records user sessions as full DOM replays and reviews each one with AI, looking for rage clicks, dead clicks, JavaScript errors, failed network requests, drop-offs and broken flows. Sessions that hit the same problem are grouped into a single issue, ranked by how many users it affected and delivered with steps to reproduce. By default Flowsery analyzes every recorded session rather than a sample, though teams can set their own recording and analysis rates.

Each issue is sent to Slack, Linear or Jira with the replay and the affected sessions attached. Teams that reply in the Slack thread and tag @flowsery get a draft pull request: the agent reads the failing session, makes the change in the connected GitHub repository and opens the PR for a human to review. The Pro plan includes 10 AI code fixes a month.

The shift moves Flowsery away from the general web analytics market and toward the session replay category, where Microsoft Clarity, FullStory, LogRocket, Hotjar and PostHog produce recordings that someone still has to watch. Flowsery can also read session recordings teams already collect in PostHog or Amplitude, so adopting it does not require reinstrumenting an application.

"Observability tools show you an error, a log without a face, but they miss the user-experience problems that never throw an exception," said Taras Shynkarenko, chief executive officer of Flowsery. "Rage clicks and dead ends happen inside sessions, so that is where the analysis belongs. The goal is to hand a team the issue, the ticket and the pull request instead of hours of footage."

The analytics layer stays in the product. Real-time traffic, funnels, goals, user journeys and revenue attribution sit in the same dashboard as the issues, and payments from Stripe, Paddle, Polar, Lemon Squeezy and Shopify tie each issue to the revenue it touches. Flowsery runs without cookies or consent banners, hosts data in the European Union and loads a tracking script under seven kilobytes gzipped. Engineers can also query the data over MCP from Claude Code, Cursor and ChatGPT.

AI session analysis is available now to all Flowsery accounts. Pricing is $250 a month on the Team plan and $500 a month on Pro, with every feature included on both and a custom quota for teams above the Pro limits. Every account starts with a 14-day free trial that does not require a credit card. Sign up at https://flowsery.com

About Flowsery

Flowsery is an AI session analysis company that records user sessions, finds the issues inside them and drafts the fix for product and engineering teams. Founded in 2025 and headquartered in Gdansk, Poland, the company serves B2B software and technology teams across Europe and North America. Flowsery is cookie-free and hosted in the European Union. For more information, visit https://flowsery.com

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