Hey everyone! I am a solo developer who has been deep in the AI tools world for the past couple years. I use Claude, ChatGPT, Cursor, and a handful of APIs daily for my work.

One month I looked at my credit card statement and realized I had spent $340 on AI tools without noticing. Every provider has its own dashboard, its own billing page, its own way of showing usage. I never checked any of them regularly because who has time to log into 5+ dashboards every week?

So I built TokenBar. It is a native macOS menu bar app that pulls your usage, credits, and billing data from 20+ AI providers into one glanceable spot. Think of it like your battery indicator but for AI spending. Built with Swift, runs entirely on your Mac, no cloud accounts or data leaving your machine.

It has been a journey getting it to market as a solo dev. The building part was fun. The marketing part... still figuring that out. Would love to connect with other makers here who are building developer tools or utilities.

I pay for Claude Pro, ChatGPT Plus, Cursor, and hit various APIs on top of that. One month I checked and realized I'd burned through $340 on AI tools without noticing. Each provider has its own dashboard and I never checked any of them regularly.

So I built TokenBar. It sits in your macOS menu bar and shows your token usage, credits, and resets across 20+ AI providers in one place: OpenAI, Anthropic/Claude, Gemini, Cursor, Copilot, OpenRouter, Vertex AI, and more.

Hey everyone! Wanted to share what's new with TokenBar.

We just shipped a major update that adds support for 20+ AI providers including OpenAI, Claude/Anthropic, Gemini, Cursor, GitHub Copilot, OpenRouter, and Vertex AI. You can now see all your AI spending in one glance from your Mac menu bar.

The more visible I become on platforms, the more opportunities I receive (not just sponsored ones).

Quite often, people reach out saying they re looking for a marketing co-founder.

And practically every month, there s someone with another revolutionary idea, the next big thing, a multimillion or multibillion-dollar business but then you never hear about them again.

I ve been using a lot of AI-generated code lately, and while it definitely speeds things up, security feels like a weak spot.

I ve run into issues like missing auth, exposed endpoints, and weak configs stuff that AI doesn t really flag unless you explicitly ask.

Curious how others are handling this:

• Do you rely more on manual reviews or tools?

• Any workflows that consistently catch vulnerabilities?

• Have you faced any real incidents because of AI-generated code?

Hey PH community! I'm a solo dev who built two native Mac apps to scratch my own itches. Sharing them here in case they're useful to anyone else.

TokenBar (tokenbar.site) If you use multiple AI APIs (OpenAI, Claude, Gemini, Mistral, etc.), you know the pain of checking 5+ provider dashboards to track your spending. TokenBar sits in your Mac menu bar and shows real-time credit balances for 20+ AI providers in one glance. The Pro version ($5 lifetime) adds spending spike alerts so you catch runaway scripts before they burn through your credits. No subscription.

Today, this graphic caught my attention:

It featured individuals who managed to build significant profit while running their businesses solo, without employees. Until now, I ve seen these more as exceptions rather than the norm.

I ve been spending more time vibe coding recently, and I ve started to question something I initially took for granted. Most of the conversation around vibe coding is about speed. Like how quickly you can go from idea to prototype, or how fast you can iterate. And to be fair, that part is real. The barrier to building has clearly dropped.

But the more I use these tools, the more it feels like speed isn t the limiting factor anymore.

The real constraint seems to be taste.

• what do you choose to build?

• what do you keep vs discard?

• what actually feels right vs just working ?

• what is genuinely useful vs just impressive in a demo?

There are so many launches on Product Hunt every day. How do you decide which ones are worth clicking into?

What s your #1 filter or shortcut?

Let me start from the creator s perspective:
I personally don t have a product (apart from hiring people for creative work or offering personal consultations).

But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).

I've been a professional developer for 10+ years (WordPress ecosystem, and React, TypeScript, Node, the whole stack).

Now I'm building my own SaaS and I'm genuinely torn.

I am a Computer Science student doing research into how solopreneurs and small startups create new apps and what their stack looks like. Particularly, I'm interested in how you handle things like authentication, billing, and permissions/authorization in your apps.

Let me know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it!

Last year we hired a design agency to build our marketing site for @Basedash. They did an incredible job. The headline makes it sound like I'm dunking on them, but I'm not. The site was genuinely great. They built it in Framer so we could manage content ourselves, which was a completely reasonable bet at the time (and something we explicitly asked for).

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

Hey everyone,

I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.
That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.

In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.

For those of you building AI or compute-intensive tools:

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list:

I ve noticed that my workflow has changed completely over the last year. I rarely start a new project with a blank file anymore. Instead, I pick a template, reuse snippets, or let an AI helper suggest the structure and then I just vibe my way through the build.

It s faster, but sometimes I miss the old blank screen energy, when every line felt handcrafted.

I m curious how others here approach it:

Do you still prefer to build from scratch?

AI dev tools are evolving crazy fast , every few weeks there s a new must-try for vibe coders.

Some people are building full products with @ChatGPT by OpenAI and @Replit , others swear by @Cursor and @Claude by Anthropic , and a few are mixing @Lovable + @v0 by Vercel + @bolt.new to ship apps in record time.

I ve been refining my own vibe stack lately, trying to find that sweet spot between speed, control, and creativity.
It made me wonder ,what does your setup look like right now?