You built something. Your users have thoughts.

They're emailing you, messaging you, leaving reviews. InputBuffer collects it all and organizes it automatically so you always know what to build next.

Stop Guessing What Users Want

Capture Everything

Your users are already telling you what to build: app store reviews, community forums, Discord servers, support conversations, and social media. InputBuffer collects it all in one place. No feedback gets lost.

✓Log anything manually in the UI
✓Every input is timestamped, searchable, and linked to its source

Organized Automatically

Buffers are topic groups like "Onboarding," "Pricing," or "Performance." AI reads every input and routes it to the right buffer automatically. No manual tagging required.

✓Find any input by keyword, date, or source
✓Track request volume by topic so you know what's picking up steam

Ask Questions, Get Answers

Ask questions about your feedback in plain English. InputBuffer searches all your inputs and returns an answer with cited sources.

✓Try "What are users saying about onboarding?"
✓Every answer cites the exact inputs behind it

Integrate Anywhere

InputBuffer works wherever your users are.

✓One script tag, no backend required
✓Paste one prompt into your AI assistant and it installs the feedback widget for you
✓GitHub, Slack, Zapier, and more integrations coming soon

Getting Started Widget Guide

Give this to your AI assistant

Works with Lovable, Bolt, v0, Cursor.

Need help? Check the getting started guide →

Prompt

Add InputBuffer feedback collection to my app using the @inputbuffer/feedback widget.

1. Drop in the inline feedback bar as a web component (simplest option, no build step):

<script src="https://cdn.jsdelivr.net/npm/@inputbuffer/feedback/dist/bar.js"></script>

<inputbuffer-feedback
  api-key="YOUR_WIDGET_TOKEN"
  label="Was this helpful?">
</inputbuffer-feedback>

This renders inline thumbs up/down buttons. After a vote, a short follow-up form appears
so the user can add context, and the feedback is sent to InputBuffer.

2. To attach feedback to a specific page or endpoint, create the bar programmatically instead
so you can pass a structured target (the web component doesn't support target config yet).

If there's no build step, use the same script tag and call the global it exposes:

<script src="https://cdn.jsdelivr.net/npm/@inputbuffer/feedback/dist/bar.js"></script>
<script>
  const bar = InputBufferIO.createBar({
    apiKey: 'YOUR_WIDGET_TOKEN',
    label: 'Was this helpful?',
    target: {
      type: 'documentation',
      metadata: { page_url: window.location.href },
    },
  });
  document.getElementById('feedback-slot').appendChild(bar.element);
</script>

If there's a bundler, import it instead:

import { createBar } from '@inputbuffer/feedback';

const bar = createBar({
  apiKey: 'YOUR_WIDGET_TOKEN',
  label: 'Was this helpful?',
  target: {
    type: 'documentation',
    metadata: { page_url: window.location.href },
  },
});
document.getElementById('feedback-slot').appendChild(bar.element);

Replace YOUR_WIDGET_TOKEN with a widget-scoped token: in InputBuffer, go to Settings -> API Tokens,
create a token, and select the "Widget" scope. Widget tokens are safe to embed in client-side code.

If this surface can't run JavaScript, POST to the API directly instead:
POST https://inputbuffer.io/api/v0/inputs
Authorization: Bearer YOUR_WIDGET_TOKEN
Content-Type: application/json
{ "description": "User's feedback message" }

Widget guide: https://inputbuffer.io/docs/widget
Full API reference: https://inputbuffer.io/docs/api

Prefer to write it yourself? View the API docs →

Make Better Product Decisions

All your feedback, automatically organized.

You built something. Your users have thoughts.

Stop Guessing What Users Want

Capture Everything

Organized Automatically

Ask Questions, Get Answers

Integrate Anywhere

What's Coming

Source Integrations

Feedback From Your AI Assistant

Make Better Product Decisions

Stay in the Loop