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InputBuffer
Feedback collection and analysis for software teams that captures input from users and AI agents and answers questions about it.
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Overview
About InputBuffer
InputBuffer gathers feedback from an in-app widget, AI agents, an API and manual entry, automatically files it into categories the team defines and answers plain-English questions about the feedback with citations to the original entries.
What it does
InputBuffer provides an embeddable feedback widget, a REST API and instructions that let AI agents submit feedback during their work. Incoming items are sorted into buffers by AI without manual tagging. Teams can ask questions in natural language and receive answers that link back to the supporting feedback. Integrations with GitHub issues, Slack and app store reviews are planned.
Where it fits
It sits between users or agents and the product backlog, replacing scattered feedback in email, chat and spreadsheets. It suits teams building with AI coding tools such as Lovable, Bolt, v0 and Cursor.
Who it suits
Product teams and developers, including those building with AI coding tools, who want organized feedback from users and agents.
Editorial view
Strengths and limitations
Written by our editors to the same standard for every product.
Strengths
- Collects feedback from AI agents as well as people
- Automatic categorization
- Cited answers to natural-language questions
- Widget distributed via npm and CDN
Limitations
- Pricing is quoted on request
- Planned integrations are not yet available
- Early-stage product
Reviews
What users say
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Community discussions
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Company
About InputBuffer
From the vendor
Provided by the vendor and reviewed by our editors; not independently verified.
- Company
- InputBuffer
- Website
- inputbuffer.io
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