We're building an AI that helps organizations track public policy, and we recently had an educational non-profit and a healthcare organization become customers.

We'd love to find more non-profits/organizations supporting good causes to work with. If you know any such organizations where public policy often impacts their operations, we'd love to hear about it and try to help!

I made my first chrome extension using solely Chatgpt. I wanted to see if it was really possible for a non-technical person like me. I was really proud of myself, it inspired me to want to build more! But when I tried to add more features to it, I think the code got too bloated and messy and it just blew up so I just continue to use the extension for the basic need I have to save and organize notes I make on products that are interesting to me without all the bells and whistles I would have wanted. I wasn t trying to make money on it, just something to prove I could do it, and I got to feel what it was like to launch something on Product Hunt - yay!

But I ve also seen alot of posts/comments from more technical folks around the web hating on non technical people for believing that you can go from 0-1 and that these new tools are best to speed up work for technical people who already know how to code, not for newbies who end up with something that works by copying and pasting crappy code spit out by LLMs of their choice.

I ve been working on some AI projects recently things like scheduled agents, API responders, and multi-agent systems that need to run continuously. One of the biggest headaches I ve run into is deployment.

Most cloud platforms (AWS, GCP, etc.) are built for stateless apps or short-lived functions. But for long-running, stateful agents, the kind that need to persist data, auto-recover from crashes, and expose custom endpoints it gets surprisingly messy. I ve spent so much time setting up VMs, Docker configs, and recovery logic than actually writing agent behavior logic.

If you're building an AI startup in 2025, you're facing a unique contradiction - your greatest tool is also your biggest existential threat.

Here are the impossible dilemmas keeping AI founders awake:

I ve been fairly active on Twitter and have come across several founders and creators who hold very different views when it comes to having a family.

The opinions vary, and I really appreciate that people are open about discussing it.

So Denmark seems poised to pass a new bill that would give each person exclusive rights over their likeness, including facial features, body, and voice. This effectively treats these personal attributes as a form of intellectual property, making deepfakes illegal through copyright law.

An individual whose likeness has been misused in a deepfake would be able to demand the removal of the offending content from online platforms and seek compensation for damages, and online platforms would be legally obligated to remove the content upon notification.

So imo, one of the logical conclusions of AI automation is a universal basic income that fully meets people's needs (let's call that a "full UBI"). If one day, 99% of jobs as we know them were automated, at that point I think the vast majority of people would want a full UBI, which is much higher than what most countries offer today, if they have a UBI at all.

But what I'm wondering is: what is the tipping point? Clearly the current level of automation isn't sufficient to get everyone on board with UBI. But some people have predicted that 50% of jobs could be automated within 20 years: if 50% of jobs went away, would you want a full UBI? What about 70%?

With everyone vibe-coding and building SaaS products, will you pay for an embeddable uploader for your SaaS or just build it yourself?

The idea:

• You would be able to connect any backend enterprise storage like: AWS S3, GCS, Azure blob etc. or any other storage

• You get an embeddable uploader - a web component that you can add to your dashboard.

Whats in this for you?

I remember once discussing that intellectual property should be abolished (a quote by Jack Dorsey).

However, it seems that there is also a friendlier option that promotes more benefits for data owners:

Most of the hype lately is around AI, web tools, and mobile-first everything. But I keep noticing a growing number of small, focused desktop apps especially for productivity, dev tools and utilities.
Maybe it's just the niche I'm in, but people seem more open to native tools again. Performance, offline access, cleaner UX, better keyboard support stuff that's still hard to replicate in a browser.
I ve been building one myself recently, and honestly, it s been refreshing. No browser quirks, no CSS gymnastics, no worrying about five different viewport breakpoints. Just focusing on the actual experience.
Is it just me? Or are you seeing this shift too?
Curious if anyone else here is building or using more desktop-native tools lately