Perplexity, OpenAI and Google deliver summaries. I wanted truth.
So I stopped waiting and built it myself. The Camoufox scraper cuts through Cloudflare, Bloomberg and paywalls with 0% detection. The recursive pipeline passes context forward – each research point knows what the previous ones discovered. Claim Audits force the model into self-reflection instead of blind assertions.
The result: 203,000 characters of academic depth for a single query. Cost: under 20 cents. That's orders of magnitude cheaper than OpenAI o3 and qualitatively in a different league.
This isn't an "alternative" to existing tools. This is proof that a solo dev with the right architecture can beat billion-dollar corporations at what should be their core competency: deep, verifiable knowledge.
You got a .de Domain. I looked for an imprint to see if that solo dev with the right tools was a fellow German, but I didn’t find any. Any details on who you are and how you came to build this? Also, your landing page sounds quite different than what you are pitching here. Are these two different projects? Thx
sry for the late answare 1) my name is to find either on my impressum on the last rag website , my many linkdin connections with my verified account there aswell as inside the AGPL license on my github repo :D so i meam :D
So I stopped waiting and built it myself. The Camoufox scraper cuts through Cloudflare, Bloomberg and paywalls with 0% detection. The recursive pipeline passes context forward – each research point knows what the previous ones discovered. Claim Audits force the model into self-reflection instead of blind assertions.
The result: 203,000 characters of academic depth for a single query. Cost: under 20 cents. That's orders of magnitude cheaper than OpenAI o3 and qualitatively in a different league.
This isn't an "alternative" to existing tools. This is proof that a solo dev with the right architecture can beat billion-dollar corporations at what should be their core competency: deep, verifiable knowledge.
The bar for Deep Research is set right here.
— Martin Gehrken, January 30, 2026