Secure AI Model Platform for Companies
Reliable, evolving AI predictions
In plain English
Prediction Guard helps companies use AI models safely without leaking private data. It picks a good model for each job and keeps answers checked and consistent as better models come out. Businesses pay for access each month. Trust and security are the main selling points.
$33,380/mo Stripe-verified revenue (Indie Hackers product page, Oct 29, 2026)
Operator: Daniel Whitenack
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
Anthropic API ↗LLM / agents
Next.js ↗Web app framework
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Ship an API or tool developers and agents call directly.
- Great docs, SDKs and MCP/CLI access.
- Usage-based or tiered pricing.
- Grow via developer communities and integrations.
What's automated vs. the human 15%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
Reliable, evolving AI predictions. It’s overwhelming to navigate the landscape of AI models. Prediction Guard automatically finds the best model for your use case and evolves your predictions as the state-of-the-art changes.
Operator: Daniel Whitenack. Website: https://www.predictionguard.com/
Estimated split: about 85% of the work automated, 15% human.
Realistic income
Indie Hackers (checked Oct 29, 2026) shows $33,380 per month in revenue verified through Stripe on the founder’s product page. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live source — numbers change.
Risks
- Platform dependency on upstream models/tools.
- Support burden from technical users.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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