Neural Inverse Cloud
Open-source cloud IDE with Forever free AI
Hey IndieHackers 👋
I'm Sanjay, Founder of Neural Inverse Inc. I built Neural Inverse - an AI-native IDE for regulated software (firmware, legacy modernization, Bring your own AI model).
People loved it. But everyone kept asking: "Can we use this in the cloud?" People kept hitting the same wall on every AI cloud platform: AI rate limits. No Compute to Support powerfull OSS models.
Today we're launching Neural Inverse Cloud an open-source cloud IDE with free AI models. Forever. No rate limits.
The Problem
The best AI models right now are open source. DeepSeek R1. Llama 4. Mistral Large 3. Kimi K2.6. Genuinely capable models — free to use.
Except actually running them is broken.
These models need serious compute. Most cloud platforms can't absorb that cost — so they either don't offer them, or they throttle you into uselessness. You hit "Quota exceeded" mid-refactor. You upgrade. You hit it again.
It's not a policy problem. It's an economics problem. When inference is your revenue model, every token costs you money.
We built around that entirely.
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What We Built
Neural Inverse Cloud. Open-source (AGPL).
Neural Inverse in your browser. No API keys. No setup. No rate limits.
- Forever-free models: Llama 3.3 70B, DeepSeek R1/V3/V4, Mistral Large 3, Kimi K2.6 — unlimited
- AI Chat & Inline Edit (Ctrl+L, Ctrl+K) — sidebar chat, inline diffs, autocomplete, Fast Apply
- Power Mode — autonomous coding agent with 22+ tools and concurrent sub-agents
- Bring your own LLM — 20 providers, API keys never leave your machine
- Multi-region (US, Europe, Singapore, Japan)
- Git hosting with LFS included
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How It Works
We make money on compute (workspaces), not inference.
$0.24/core-hour when you're working. AI is included.
Models route through Azure AI Foundry serverless. Sub-$0.001/1K tokens at scale — we absorb it to remove friction.
$1.22 credit to start. No card needed. Activate billing → unlock $10 more.
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The Tech Stack
- IDE: Neural Inverse (our own — open-source Cursor alternative)
- Backend: Go
- Workspaces: Terraform provisioning (Docker, K8s, VMs)
- AI Gateway: Node.js with Azure AI Foundry serverless
- Git hosting: Self-hosted Gitea (multi-region)
- Regions: Azure (US, Europe, Singapore, Japan)
- Telemetry: Custom protocol routing with live traffic visualization
Everything AGPL-licensed. Fork it, audit it, self-host it.
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Why We're Bootstrapped
No VC pressure to monetize inference. We can keep models free because that's not our business.
If we screw up, fork it. That's the deal.
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Try It
⭐ github.com/neuralinverse/neuralinverse
No credit card for the first $1.22.
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What We Need Help With
1. Feedback: What breaks? What's confusing? What's missing?
2. Use cases: What workflows work/don't work?
3. Pricing: Does $0.24/core-hour feel right for cloud dev environments?
4. Distribution: Where else should we post this?
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Questions I'll Answer
- How are free models sustainable? (Compute margins cover it)
- What's the catch? (None. We don't monetize inference)
- Can I self-host? (Yes. Full source + deploy guides at neuralinverse.com/docs/cloud)
- Which models exactly? (DeepSeek R1/V3/V4, Llama 3.3 70B/Llama 4, Mistral Large 3, Kimi K2.6)
- Data privacy? (Self-hosted per region. Audit logs included)
Drop questions below I'll respond to everything.
— Sanjay
1 Comment
The signal I'd be hesitant to trust too quickly is the demand for "free AI."
Not because it's unimportant.
Because the same adoption pattern could support several very different explanations about what users actually value most in the product.