ReviseFlow

Name: ReviseFlow
Brand: ReviseFlow
Availability: InStock

Visual feedback and bug reporting for web/mobile apps, with AI-powered autofix.

Product memo

Developers and agencies use ReviseFlow to simplify client feedback and bug reporting for web and mobile apps. It cuts out the back-and-forth by letting clients annotate directly on the UI, while automatically capturing technical context. An AI-powered autofix then suggests code changes, shortening the path from client request to pull request.

For who: Web and mobile app developers and agencies
Solves what: Streamlines client feedback and bug reporting with visual annotations and AI-powered fixes.

Visual feedback widget
AI autofix for bugs
React Native SDK

Market demand

ReviseFlow keyword demand

5 keywords

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SimilarWeb keyword snapshot · directional estimate.

In their own words

Client feedback, zero back-and-forth.

Your clients click, annotate, and comment directly on your website or app. Every revision request arrives with a screenshot pinned to exact pixels — plus the technical context to act on it immediately.

CTA: Get Started

Operator & company

Operators

2 people

@cprecius

Founder claim · Source claim · Reddit relation

Reddit @cprecius

Selim Enes

Founder · Source-backed · TrustMRR relation

X @selimenesdev

Reddit-sourced claim; not official-site verified.

Company

Founded: Feb 2026
HQ: Türkiye

Operating model

Business model: Saas
Platform: Web app
Audience: Developers
Payments: Lemon Squeezy

Product channels

X selimenesdev

Builder strategy

ProvenRadar analysis

Strategy Type: Niche Specialist
Stage: Pre Revenue
Effort: Solo Buildable

About ReviseFlow Expand

ReviseFlow helps web and mobile app developers and agencies manage client feedback and bug reporting. It addresses the common pain point of unclear bug descriptions by enabling visual annotations directly on the application interface.

The platform automatically captures crucial technical context, reducing the need for back-and-forth communication. A key differentiator is its AI-powered autofix feature, which suggests code changes to shorten the resolution process.

This specialized approach aims to make the feedback-to-development cycle more efficient for teams building and maintaining digital products.