Hardware

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

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Sales•Artificial Intelligence•CRM

Highest rated hardware products

Highest rated

Infrrd OCR
Extract data from invoices and receipts with AI based OCR
4.0 (1 review)
Skype
Communication tool for free calls and chat
4.0 (1 review)
Team collaboration software Video conferencing Messaging apps
Texterview
Answer questions, share experiences and views on topics.
4.0 (1 review)
HelloConsent
Simple cookie consent solution for GDPR compliance
4.0 (1 review)
NanoKVM-Go
Launched this month
Give your AI agent physical control over any screen
4.0 (1 review)
Webcams
Sony
Multinational conglomerate company
4.0 (1 review)
Suparise
A bot that grows your Instagram following
4.0 (1 review)
Automation tools Social media management tools Social Networking
LG
Life's good
4.0 (1 review)
Physical Products
Guru
Knowledge Base Software - Replace Your Company Wiki
4.0 (1 review)
Productivity Team collaboration software Knowledge base software
AnySearch
Launched this month
Real-time structured search trusted by agents and developers
4.0 (1 review)
Search AI Infrastructure Tools
Remo+ DoorCam
World's 1st over-the-door smart camera
4.0 (1 review)
Elevenreader by ElevenLabs
Elevate your listening experience
4.0 (1 review)
Appy Pie’s AR/VR app builder
Drag-and-Drop AR/VR App Builder
4.0 (1 review)
MultCloud
All your cloud storage in one
4.0 (1 review)
Contractor+
Next Generation App for Field Service Contractors.
4.0 (1 review)

Showing 466-480 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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