How do I add feedback collection to my application?

You can add feedback collection by dropping in a script tag that adds the feedback widget with no backend needed. The widget can be embedded as an inline feedback bar or opened as a modal, and you can configure it to attach feedback to specific pages or API endpoints.

Can AI agents report problems with my product?

Yes, agents can report problems by sending feedback to the same API endpoint as users. You can add instructions to your prompts, documentation, or other agent-accessible surfaces that tell agents how to report issues when they encounter problems.

How does InputBuffer organize feedback?

InputBuffer uses AI to automatically file feedback into categories you define, without requiring manual tagging. You can then query this organized feedback in plain English and receive answers that cite the specific feedback items supporting each answer.

What feedback sources does InputBuffer support?

InputBuffer collects feedback from multiple sources including your app via the widget, AI agents, API submissions, and your own systems like support tickets and contact forms. The platform is planning integrations with GitHub issues, Slack, and app store reviews.

Customer Support & Success

InputBuffer

AI-organized feedback for anyone building software

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Collects feedback from users and AI agents, automatically organizes it into categories, and answers questions about it.

Overview

A look at inputbuffer.io

InputBuffer is a feedback collection and organization platform that gathers input from users, AI agents, support tickets, and custom systems through an API or web widget. The platform uses AI to automatically categorize feedback without manual tagging, allowing teams to ask questions in plain English and receive answers with citations to the underlying feedback.

The service supports multiple feedback sources: a web widget for in-app feedback collection, an API for integration with custom systems, and planned integrations with GitHub, Slack, and app store reviews. Teams can collect feedback directly from their applications or from agents running their products, with agents able to report issues back to the platform through customizable instructions embedded in prompts or documentation.

Users can query their feedback database in natural language and receive summarized answers backed by specific feedback items. The platform is currently early in development with custom pricing available through direct contact.

Feature notes

Automatic AI categorization without manual tagging
Natural language query interface for feedback analysis
Collects feedback from users, agents, and custom systems
Web widget for in-app feedback collection
API for feedback submission and integration
Agent feedback reporting with embedded instructions
Feedback answers cited with source items
Planned integrations with GitHub, Slack, and app stores

Pricing

Pricing model: Contact for pricing

Custom pricing based on needs

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InputBuffer at a glance

Community votes: 0
Followers: 0
HQ: United States

InputBuffer metrics

Inspection sheet for inputbuffer.io: Ahrefs Domain Rating and Majestic link metrics, with the delta since the last inspection.
Metric	Value
Domain Rating	2 no change since last check
Trust Flow	1 no change since last check
Citation Flow	22 no change since last check
Referring domains	9 no change since last check
External backlinks	28 no change since last check

Domain Rating by Ahrefs inspected 7 Nov 2026, adjusted 25 Oct 2026. Primary topic: Recreation/Food (1). Majestic inspected 25 Oct 2026, adjusted 25 Oct 2026. Link data: Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

InputBuffer domain diagnostics

Run through the diagnostics

Public RDAP record, last read 6 Nov 2026, 17:03 UTC.
Domain age	1 year
Registered	28 Sep 2025
Expires	28 Sep 2027
Registrar	Cloudflare, Inc
DNSSEC	Not signed

Run the full check on inputbuffer.io

InputBuffer post-launch diagnostics

Measured after InputBuffer went live on Launching Pro on 25 October 2026.

Domain Rating (Ahrefs): 2 no change since launch; 2 at launch (25 Oct 2026), 2 on 7 Nov 2026
Trust Flow (Majestic): 1; First measured 25 Oct 2026
Referring domains (Majestic): 9; First measured 25 Oct 2026

Day 12 since launch. Next receipt: day 30, 24 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.

Biggest gains on Launching Pro

Launch tips, free to read

The playbook on Launching Pro lists what to prepare, what to post on launch day and where else to list your product.

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FAQ

How do I add feedback collection to my application?: You can add feedback collection by dropping in a script tag that adds the feedback widget with no backend needed. The widget can be embedded as an inline feedback bar or opened as a modal, and you can configure it to attach feedback to specific pages or API endpoints.
Can AI agents report problems with my product?: Yes, agents can report problems by sending feedback to the same API endpoint as users. You can add instructions to your prompts, documentation, or other agent-accessible surfaces that tell agents how to report issues when they encounter problems.
How does InputBuffer organize feedback?: InputBuffer uses AI to automatically file feedback into categories you define, without requiring manual tagging. You can then query this organized feedback in plain English and receive answers that cite the specific feedback items supporting each answer.
What feedback sources does InputBuffer support?: InputBuffer collects feedback from multiple sources including your app via the widget, AI agents, API submissions, and your own systems like support tickets and contact forms. The platform is planning integrations with GitHub issues, Slack, and app store reviews.

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