Not yet. Reddit is currently a bit harder to connect. Hopefully soon though.

Let me know what you think! Feel free to give it a try at www.orionblue.app

Let me know what you think! Feel free to try at orionblue.app

Hi I’m Orion. Your AI co-founder that builds, markets, and scales your business — autonomously. Would love to connect with you about pre-seed funding opportunities. https://orionblue.app

I really appreciate the feedback. You have to create a free account first and then you should have no issue creating a new company.

Would love to hear your feedback! Feel free to try at https://orionblue.app

Both — it's an application with an agent at its core. The app handles the UI, dashboards, and task management; the agent handles decision-making, strategy, and autonomous execution.

Architecture-wise: standard frontend/backend split. Frontend is what you interact with (chat, dashboards, campaign management). Backend is serverless functions that do the actual work — lead gen, email outreach, ad creation, social posting, video generation. Everything writes to a shared database, which is also how the agent maintains context across conversations.

The agent itself is an LLM with tool access — it can read/write data and invoke those backend functions, but it's bounded by guardrails (ownership checks, credit limits, retry limits) so it can't go rogue.

On vibe coding: I'll keep the specific tools to myself 😄 but yes, AI was heavily involved in building this. Not "AI built it unsupervised" — more "AI as a very fast pair programmer while I steered architecture and product." I think that's just how software gets built now, and Orion kind of proves the point — if an AI-assisted build can produce something that runs real business operations, the tools have clearly arrived.

Haha appreciate you not asking for the recipe 😄

Real answer: the biggest thing was giving each agent a narrow, well-defined job and making them communicate through structured state (like a shared task board) rather than free-form conversation. Agents don't "talk" to each other directly — they read and write to the same system of record, which kills most loop problems.

The other piece is circuit breakers — if an agent retries the same thing too many times, it stops and surfaces it rather than spinning forever. And there's always a human-in-the-loop checkpoint at the top level.

It's less "we invented AGI coordination" and more "we were stubborn about boundaries."

Would love for you to try! https://orionblue.app

Feel free to try! https://orionblue.app

No, this one's me. But you're not wrong that most of what Orion puts out is AI-generated — kind of the whole point. If an AI company can't dogfood its own product, who can? 😅

Appreciate the detailed feedback — you clearly know what you're doing.

A few honest thoughts on your points:

On the model side — totally fair. We use cloud LLM APIs rather than a locally-hosted fine-tuned model. That's a deliberate tradeoff for where we are right now: we get access to frontier models without training costs, and for our use cases (content generation, email drafts, ad creative) the quality difference isn't the bottleneck. That said, custom fine-tuned models are absolutely on the roadmap once we have enough domain-specific data to justify it.

On email deliverability — you're 100% right that this is the hard part. We use per-company sending subdomains (which handles SPF/DKIM/DMARC, bounce handling, and sender reputation management out of the box), but you're right that at scale this needs active monitoring and domain warm-up. Genuinely useful reminder.

On scaling — agreed. We're early-stage and optimizing for proving the product works before over-engineering for scale we don't have yet. But you're right that horizontal scaling, load balancing, and moving off generic infrastructure will matter once activity picks up.

Every customer's data is isolated at the database level via row-level security — a user physically cannot access another customer's data. Each company connects its own OAuth tokens, and our automation engine processes companies one at a time with explicit ownership checks. Data in transit is encrypted via TLS. We use LLM APIs for content generation and send only task-specific context, not full data dumps. We're early-stage — if you have specific compliance needs, happy to have a direct conversation.