# InputBuffer

> Collect and auto-organize user feedback about your AI product to guide product decisions

---
url: "https://earlyhunt.com/project/inputbuffer"
markdown: "https://earlyhunt.com/project/inputbuffer.md"
type: project
name: InputBuffer
slug: inputbuffer
website: "https://inputbuffer.io"
launch_status: scheduled
launch_type: nofollow
pricing: Free
upvotes: 0
categories:
  - "APIs & Integrations"
  - Web Development
launch_start: "2027-11-29T08:00:00.000Z"
launch_end: "2027-12-06T07:59:59.999Z"
updated: "2026-09-11T10:02:03.355Z"
maker: Dashron
maker_url: "https://earlyhunt.com/founder/aaron"
---

## About InputBuffer

InputBuffer catches everything your users tell you and makes sense of it.

People are using the thing you built. That's the hard part and you already did it, whether it came together in a weekend on Lovable or Bolt or v0, or you wrote every line. Now you want to hear from them, and you want it easy enough that they actually bother. One click, while the thought is still in their head.

That's the widget. A thumbs up and a thumbs down, right there in your app, with a box that opens if they want to say more. Paste one prompt into your AI assistant and it's live. No backend, no schema, no admin page to maintain.

Your users are talking in other places too. Discord, app store reviews, a forum thread, your own inbox. The API takes anything you can send it, so you can point an agent at those places and let it pipe everything into InputBuffer.

It all lands in one place and gets sorted on the way in. You name the topics you care about, something like Onboarding, Pricing, or Performance, and everything that comes in goes where it belongs. Anything the AI isn't sure about waits for you instead of getting filed wrong. Each submission arrives knowing where it came from: the exact page, endpoint, or CLI command behind it. A docs page and an API route build up their own separate piles. You don't tag or sort anything.

Then, when it's time to decide what to work on, ask a question like "why are people abandoning signup" and you'll get a written answer with the submissions behind it. Every answer cites the feedback it came from, so you can open them and check the answer yourself before you commit a month to building the wrong thing.

Your first 250 submissions are free, plus 50 research questions a month

## Overview

### What is it?

Collect and auto-organize user feedback about your AI product to guide product decisions

### Categories

- APIs & Integrations
- Web Development

### How is it priced?

Free

### Launch on EarlyHunt

- Status: scheduled
- Launch tier: nofollow
- Upvotes: 0

## Screenshots / media

- Logo: https://txmhk1zrnc.ufs.sh/f/xSkWTCqmKWx9aslgfAJZJsOEgxD9oIMj2XZ36Y1qQH7rah5d
- Screenshot 1: https://txmhk1zrnc.ufs.sh/f/xSkWTCqmKWx9hGEew6RJkXTmPie5h04ySvxCrwdZbuRtDGBl

## Links

- Listing (HTML): https://earlyhunt.com/project/inputbuffer
- AI-friendly Markdown: https://earlyhunt.com/project/inputbuffer.md
- Website: https://inputbuffer.io
- Maker profile: https://earlyhunt.com/founder/aaron
- Maker Markdown: https://earlyhunt.com/founder/aaron.md

## Explore

- [Browse AI Projects](https://earlyhunt.com/projects)
- [Launch Stories](https://earlyhunt.com/launches)
- [Hall of Fame](https://earlyhunt.com/hall-of-fame)
- [Pricing](https://earlyhunt.com/pricing)
- [Category: APIs & Integrations](https://earlyhunt.com/categories/apis-integrations)

_HTML version: https://earlyhunt.com/project/inputbuffer_