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martin
martin

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I built an Open Source Deep Research tool which beats Google, OpenAI and Perplexity


Bold claim? Here's the proof.

4 days ago I released Lutum Veritas - an open-source Deep Research tool that does one thing differently: It tells the truth.

The Benchmark Results:

I ran the same queries through ChatGPT Deep Research, Google Gemini, Perplexity Pro, and Veritas.

• ChatGPT: Fabricated 4-5 citations that don't exist
• Gemini: 30-40% incorrect data
• Perplexity: Surface-level, paywalled ($20/mo)
• Veritas: 100% verifiable sources, $0.08 per report

Full benchmark: https://veritas-test.neocities.org

What makes it different:

When data doesn't exist, Veritas says "we don't know" instead of making shit up.

Radical concept, I know.

The Tech:
• Camoufox scraper (0% bot detection)
• Dual-verification pipeline
• Budget models: Gemini Flash Lite + Qwen 235B
• Cost: $0.08 per 30-min deep research report

The Numbers (4 days post-launch):
• 46 GitHub stars
• 7.3% conversion rate (industry avg: 1-3%)
• 630 unique visitors
• Featured: Hacker News, Product Hunt, DeepLearning.AI

New: Ask Mode (v1.3.0)
60-second verified answers for $0.0024 each. That's 400 answers for $1.

The Lesson:

You don't need billions in VC funding to beat billion-dollar companies. You need the right philosophy:

Truth > Usefulness.
Evidence > Speculation.
"I don't know" > Hallucination.

Open source. AGPL-3.0. Runs on your machine.

GitHub: https://github.com/IamLumae/Project-Lutum-Veritas

Try it. Break it. Tell me I'm wrong.

I'll wait.

AI #OpenSource #DeepResearch #MachineLearning #Innovation #ChatGPT #OpenAI #Google #Perplexity

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