I started building OrchidOS because I was drowning in repetitive tasks. Email triage, content reviews, meeting notes — stuff I could automate but didn't trust to a black box.

The tools I tried either did too much (hallucinated important decisions) or too little (just filtered spam). Nothing built for the middle ground: delegate the obvious, stay in the loop on everything else.

What we're actually building

A delegation queue for modern work. Think of it like a task queue for your brain — you queue up decisions, OrchidOS handles the ones that match your rules, and surfaces the rest for your review.

Not an AI email client. Not another "let AI respond for you and hope it's good." We're building supervised autonomy — you set decision rules, the system executes, you review exceptions.

The core mental model is simple: you're not replacing your judgment. You're delegating the parts of your judgment that are already decided. If you always archive newsletters, that's not a decision anymore — it's a rule. OrchidOS runs the rule.

Early Access

Sound like the tool you've been waiting for?

Get on the list — flat pricing, full audit trail, 30+ integrations. Be first when we launch.

✓ You're on the list. We'll be in touch.

Why it's different from everything else

Flat pricing. No credit anxiety.

Most AI tools lock you into credit-based pricing. You buy credits, they disappear, anxiety sets in. You start rationing which tasks to automate. That defeats the whole point.

We charge flat: monthly subscription, unlimited queued tasks. The tool should get more useful as you delegate more — not more expensive.

Full audit trail. You own the rules.

Every decision point shows why the system chose to act. "Archived because: matched newsletter pattern you set on March 3rd." Not magic. Not a black box. A clear record of what happened and why.

You can inspect any decision, modify the underlying rule, or override a specific action. The system learns your preferences over time — but you always see the reasoning.

30+ integrations. One queue.

Email, calendar, Slack, GitHub, Notion, Linear — they all generate work. OrchidOS connects them into a single decision queue. You review what matters, approve what needs approval, and let the rest run on autopilot.

Early traction (the honest version)

We're pre-launch. Here's where we actually are:

Pre
Launch Stage
30+
Integrations Planned
$0
Raised (bootstrapped)

We're building with indie founders and SaaS operators in mind — people who own their workflows, don't want black-box automation, and get frustrated with subscription creep. If that's you, we're building for you.

The hard part no one talks about

The technical work isn't the hard part. LLM APIs are commoditized. Connecting to Gmail is a weekend project. The actually hard problem is designing the mental model.

How do you think about delegating to a system? How do you trust it incrementally? How do you inspect and modify its decisions without it feeling like more work than just doing the task yourself?

That's what we're solving first. Features second.

Most AI automation tools skip this entirely. They optimize for the demo — "look how much the AI can do!" — and then you discover at 2am that it sent a half-baked email to your best customer because it matched a pattern you set six weeks ago.

The goal isn't maximum automation. It's appropriate automation — the stuff you've already decided, handled automatically. The stuff that requires judgment, surfaced clearly for you to decide.

What's next

We're opening early access in the coming weeks. If you're an indie founder, SaaS operator, or anyone who's built their own task management system out of frustration — we want to talk to you.

We're not asking for a long commitment. Just: use it for a week, tell us where it breaks. The first version won't be perfect. But the direction is right, and we'd rather build it with people who get the problem than optimize for demo aesthetics.

If this resonates, get on the list below. We'll keep it honest — building in public means sharing the wins and the stumbles.