My favorite usage of AI currently is helping me prototype and bring to life internal tools that help me with my daily life.

I am preparing for job interviews so I built a tool to help prepare for technical questions.

I am networking so I built a tool to help break the ice at events.

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.

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.

Many of us use it for text generation, image generation, and making tasks fast.

That is something repetitive, and over one week or so, it is not so mindblowing anymore.

AI as you know it is disrupting industries, and the software industry is at the forefront of this disruption. So what will be the future of SaaS, a model that presents users value for use?

The first and most important impact as we are already seeing is that the barrier for non-technical people to build software they require will drastically drop. This is evident in tools like lovable, bolt, replit etc... where users with no coding experience can whip up apps in a couple of minutes or hours as the case maybe.

There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.

What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?

I m starting to think most SaaS products are on borrowed time. With AI getting smarter every day, it s poised to swallow up their use cases. AI will learn to do what SaaS tools do and at some point it will be easier for the user just to use the AI. I recently saw a tweet claiming that by next year, 90% of code will be AI-generated. If development costs are plummeting to zero, why would anyone pay for a traditional SaaS subscription, when his favourite AI can do the same?

Do you see it the same way? I d love to hear your take.