Hardware

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

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Highest rated hardware products

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PiBox
A modular Raspberry Pi storage server, supporting SATA SSDs
5.0 (1 review)
Floatbot
Omni-channel customer engagement AI chatbot
5.0 (1 review)
navit.ai (Closed)
one-stop AI bot marketplace
5.0 (1 review)
Tumblr
#foleo
5.0 (1 review)
Social & Community Social Networking Microblogging platforms
Avochato
Text message your customers directly from Slack
5.0 (1 review)
Customer support tools Messaging apps Slack apps
Stratus®: The All-In-One Stompbox
The compact, all-in-one effects pedal for beginners.
5.0 (1 review)
Inside
Packed with the trends, news & links you need to be smart
5.0 (1 review)
Knowledge base software Newsletter platforms News
Nodrix
Your own IoT cloud, deployed to your Cloudflare account
5.0 (1 review)
Automation tools Databases and backend frameworks Cloud Computing Platforms
Queva™ Health + Behavior V1
Dog Health & Behavior Smart Tracker
5.0 (1 review)
Infinity Bot List
The future of Discord Bot Listing Services!
5.0 (1 review)
BookBub
One of the fastest-growing consumer tech startups
5.0 (1 review)
TopTool
Explore the Best Tools: Discover, Vote, and Contribute!
5.0 (1 review)
Advertising tools Event software Startup communities
Keyboard Yoga
A different kind of typing trainer
5.0 (1 review)
ChatGPT on Telegram: MagicBuddy
Best ChatGPT Bot on Telegram: Chat to MagicBuddy
5.0 (1 review)
Particle
Prototype, scale, and manage your Internet of Things
5.0 (1 review)

Showing 391-405 of 4649 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•129 views

2mo 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.

8 comments•197 views

1mo ago

Kilo Code

The State of Startups 2026 - Key Takeaways

This year again, Supabase surveyed 2,000+ startup founders to uncover what's powering modern startups: their stacks, their GTM motion, and how they approach AI.

Many things have changed between 2025 and 2026.

8 comments•104 views

1mo 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•296 views

11mo ago

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