This week Intrascope was featured in the F6S newsletter and it honestly felt great to see us listed next to companies like Make, Instantly and Cloudflare. For a small team building something from scratch, these moments matter.

What made it even better is that the way they described us was exactly what we wanted people to understand. A central place for teams to organize their AI use, keep their context, and control their costs. That has been the core idea from day one.

The launch on Product Hunt gave us our first wave of validation and now we are getting more organic visibility from other communities. Step by step, it feels like the product is starting to resonate.

If anyone here wants to try it or just follow the journey, you can find us at intrascope.app

Still riding the post launch wave with Intrascope.app. Early users are giving us feedback that feels very real and very honest.

Our first annual subscription was the moment everything clicked. We genuinely thought the payment processor was in test mode because Intrascope.app isn t a small ticket product.
At 11 PM I messaged @stefan_car , our lead developer, asking why there was activity so late. He wasn t testing anything. It was a real user who clearly understood the product and decided to commit for a full year.

That moment changed our mindset immediately. Since then we ve been watching how teams actually use Intrascope.app and adjusting fast. When someone commits that early, you feel a real responsibility to get it right.

Founders here
What was the moment that made your product feel real?

Hey everyone,

After launching Intrascope and finishing Top 10 Product of the Day, we wanted to open a quick discussion.

The biggest takeaway for us wasn t the ranking, but the conversations. We talked to teams who are already using AI daily and are struggling with scattered tools, separate API keys, lost context, and costs growing without visibility.

That s exactly why we built Intrascope: a shared AI workspace where teams bring their own API keys, work with shared context and Manifests, and keep usage and costs predictable.

Thank you to everyone who supported us during our Product Hunt launch

We finished #9 Product of the Day on a very competitive day, with some big launches happening as well. Even @OpenAI and @LiveDocs with very useful products was in the mix

We re genuinely happy with the traction so far. More importantly, we ve already welcomed our first international teams who are actively testing Intrascope in real workflows, which means a lot to us.

Intrascope was built to solve a real internal problem for our own team, and seeing others resonate with it confirms we re on the right path.

A common setup we see in 10-person teams looks like this:

Before Intrascope
Most teams end up paying for multiple AI subscriptions.
6 10 people on individual ChatGPT or Claude plans.
Some teammates even share accounts, which mixes context and leads to poor outputs.

Typical cost
10 $20/month = ~$200/month
And that s before any advanced usage or extra tools.

With Intrascope
The team works inside a single shared workspace using their own API keys.
One admin controls which models are available and sets usage limits.

We re currently in beta with Intrascope and one question keeps coming up around trust and API keys.

Some people are understandably cautious about entering their LLM API keys into any tool. That concern makes sense especially with new products. What s interesting is that in our case bringing your own API key is the core of how Intrascope works and why it exists in the first place.

We built Intrascope because we experienced the opposite problem. Teams using multiple AI tools had no real visibility into usage or costs until it was too late. By using your own API keys you stay in full control of spending limits usage and access across the whole team.

This approach is already common across many tools from WordPress plugins to internal dashboards and browser extensions. Still trust has to be earned not assumed.

Most AI tools look shiny on the surface, but the moment a real team starts using them, the same problems appear again and again.Everyone has separate accounts and API keys.
Everyone chats in isolated windows.
Context gets lost.
Costs grow without anyone noticing.
Teams end up using 5 7 different apps just to use AI.

We built Intrascope because we were dealing with exactly this chaos inside our own company.
There was no single place where teams could use multiple AI models together, share context, track usage, set limits, collaborate, and actually optimize cost instead of guessing.

So the real problem we are solving is simple:
AI is becoming essential for teams, but the way teams use AI today is messy, expensive, and completely fragmented.

With Intrascope, we created a workspace that gives you: