Hardware

Software may be eating the world but it's nothing without hardware.

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Highest rated hardware products

Highest rated

Blast Mic (by Blast Radio)
A professional radio broadcast studio in your hand.
5.0 (1 review)
Podcasting Tools Live streaming platforms
Niopub
Explore posts from others or quickly publish your own ideas.
5.0 (1 review)
Note and writing apps Social Networking Microblogging platforms
FormRocket
The new way for developers to create forms & store responses
5.0 (1 review)
Empirical Health
Optimize your heart health
5.0 (1 review)
Medical
Beautify This!
Create stunningly beautiful images of your tweets.
5.0 (1 review)
Twitter apps
ChatGPT on Telegram: MagicBuddy
Best ChatGPT Bot on Telegram: Chat to MagicBuddy
5.0 (1 review)
Chappie CM
World's 1st Community Moderator Companion!
5.0 (1 review)
Smallpdf
All-in-one easy-to-use online PDF tools
5.0 (1 review)
AbleMouse
DIY solution that helps even with complete paralysis
5.0 (1 review)
FM Radio
65,000+ Live Radio Stations Without Paying Anything!
5.0 (1 review)
Mondly Languages
Building the future of language learning in AR & VR.
5.0 (1 review)
KnowBuddy.AI
ChatGPT and other AI models in a single whatsapp chatbot
5.0 (1 review)
AI Chatbots
Computer Museum
Online computer museum with simulators
5.0 (1 review)
Online learning
Raspberry Pi OS
A step-by-step guide how to create a simple OS from scratch.
5.0 (1 review)
Herba
An autonomous plant care system 🌱🤖
5.0 (1 review)

Showing 421-435 of 4670 products

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Forum discussions

AI apps are no longer apps. They are attachments to surfaces you already use.

Last week, six AI products launched on Product Hunt that share one move. None of them ask users to open a new app. They embed into surfaces people already touch.

Hardware: Dune Keypad (46 upvotes) sits next to your keyboard with Claude integration. Video calls: Mina Meeting Assistant (47 upvotes). Text threads: folk (51 upvotes). Chat windows: Databox MCP (39 upvotes) plugs business data into Claude via Model Context Protocol. Mac autocomplete: Typeahead (22 upvotes).

The pattern is clear: shipping AI as a new app is the slow path. The fast path is grafting onto a surface the user already touches. The cost of building a standalone AI app dropped 90%+. The cost of getting it noticed did not. Surface integration sidesteps the noticing problem because the surface already has users.

6 comments•176 views

4mo ago

Just "AI" is no longer enough. Here is what Product Hunt is telling us.

I have been looking at what is actually getting traction on Product Hunt right now. The pattern is clear.

In March, OpenClaw products dominated the leaderboard. Anything with "Claw" in the name got votes. That was a land grab new space, everyone rushing in to claim a spot .

In April, that stopped. The "just build an agent" strategy stopped working. What replaced it? Products that do specific tasks inside workflows you already have .

Here is what the data shows.

7 comments•305 views

3mo ago

Building AI Products that Work, -1 to 0

I spend a lot more time on PH at the moment to see what indepedent makers are spending their time on. I've noticed some patterns and also want to share a little bit about my journey at South Park Commons. Most startup stories begin at zero when there s already a team, an idea, maybe even a prototype. But at South Park Commons (SPC), the philosophy is different: people gather in the -1 to 0 stage. That liminal space where you don t yet know what you re building or even if you should build at all. It s a place for exploration, experimentation, and being brutally honest about what s working and what s not.

A hallmark of SPC is how often industry leaders drop by to share what they ve learned in the wild. Recently, I was in a small chat with Tyler Payne former Google and LinkedIn AI lead, startup builder, who has spent the last decade helping teams actually ship real-world ML systems. We're always talking about what's being launched at SPC.

13 comments•302 views

1yr ago

What are the 5 tools you couldn’t build and work without?

These are the five tools currently doing most of the heavy lifting in my SaaS and automation workflow:

Claude system architecture, deep product research, complex technical planning, debugging difficult problems, comparing implementation approaches, and turning unclear ideas into detailed execution plans.

Codex working directly across large codebases, building complete features, refactoring existing systems, fixing production issues, writing tests, handling migrations, and completing changes that touch multiple files and services.

Awish building automations and connecting the apps I use without spending hours on APIs, OAuth setup, or complicated integration steps. I use it when data, notifications, approvals, and actions need to move reliably between different tools.

8 comments•80 views

2mo ago

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