Hardware

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Highest rated hardware products

Highest rated

Geekflare
Launched this month
LLM-ready web scraping & search API
5.0 (2 reviews)
Unified API AI Infrastructure Tools
BuildJet for GitHub Actions
Managed high-performance runners for Github Actions
5.0 (2 reviews)
OLOID M-Tag
Tesla-like mobile key experience for the modern workplace
5.0 (2 reviews)
Productivity Remote workforce tools Authentication & identity tools
BirthdayBot for Slack
Don't miss your teammates' birthdays and anniversaries!
5.0 (2 reviews)
Relm
The First Smart Scented Wax Warmer
5.0 (2 reviews)
Furniture Therapy apps Shopping
Linga
Reading app, stellar translator, and vocabulary wizard
5.0 (2 reviews)
Language Learning
Scrappey.com - Web Scraping API
We handle all annoying scraping stuff for you
5.0 (2 reviews)
Unbounce
Design Beautiful Landing Pages That Convert More
5.0 (2 reviews)
Marketing automation platforms Landing page builders Design resources
Notion Site
Launched this month
Products built on notion
5.0 (2 reviews)
Quotes
macOS & iOS app for your quotes - organize, revisit & more
5.0 (2 reviews)
Note and writing apps Knowledge base software Books
iCliniq
Trusted Health Decision Platform
5.0 (2 reviews)
Medical
Overcast
A powerful, simple podcast app for iOS
5.0 (2 reviews)
Mobile editing apps Podcasting Tools Apps for kids
Hack Club
Learn how to start a coding club at your high school
5.0 (2 reviews)
Engineering & Development
tldrbot
Summarizing your Discord Chats
5.0 (2 reviews)
Intentio
Focus easier & minimize distractions
5.0 (2 reviews)

Showing 271-285 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•195 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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