Hardware

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

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Productivity•Artificial Intelligence•Business

Highest rated hardware products

Highest rated

Requisor AI
Ideas to Execution in Seconds!
5.0 (1 review)
Project management software Issue tracking software AI Chatbots
VideoAsk
Effortless way to have asynchronous video conversations
5.0 (1 review)
Steptastic
Virtually travel around the World!
5.0 (1 review)
Activity tracking
Slaask
The customer service app for all Slack users.
5.0 (1 review)
Customer support tools Messaging apps Slack apps
NordProtect
An identity theft protection service you can count on
5.0 (1 review)
Mondly VR
Learn languages in Virtual Reality
5.0 (1 review)
ZOZOSUIT
15,000 measurements for clothing in one size: yours.
5.0 (1 review)
Posts 2.0
Glorious paragraph creator from Slack
5.0 (1 review)
Writing assistants Slack apps
Umbrel
The ultimate home cloud & OS for self-hosting
5.0 (1 review)
File storage and sharing apps Web hosting services Cloud Computing Platforms
Audiobooks with Audacity
Record and edit audiobooks in Audacity
5.0 (1 review)
Shadowmap
Interactive 3D maps app to visualize solar shadows worldwide
5.0 (1 review)
3D & Animation Maps and GPS Weather apps
Keyboard Yoga
A different kind of typing trainer
5.0 (1 review)
iTunes
Own or rent your favorite Movies and TV.
5.0 (1 review)
AI Math Tutor
Simplifying Math For All
5.0 (1 review)
Narrify AI
AI-Powered Sports Commentary for your Videos
5.0 (1 review)
Video editing

Showing 361-375 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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