rebasedev.com.br
partial
Claude Code
intent
What does rebasedev.com.br do and who is it for? Explain it back to me.
26steps
129.2sduration
$1.9137cost
348,580tokens
34 steps8 reasoning steps17 searches
home
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/p/the-real-reason-bra…
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home
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/company/rebasebr
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/en
/in/gabsferreira
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docs
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/rebasebr
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44%
on-site discovery
100%
reliability
33%
link following
path origin
- previous resource33%
- web search56%
- prior knowledge11%
insight
The agent partially assembled an understanding of Rebase by combining fragments from the React-based website (which exposed FAQ data in JSON-LD format), founder biographies, and a Substack article about Brazilian developer hiring challenges. The site's deliberate non-disclosure of pricing and curriculum structure left gaps that prevented a complete explanation suitable for someone unfamiliar with the program; the agent had to rely on prior knowledge of the founders' credentials and inferred positioning rather than published comparative or structural information.
- ›Steps [1, 7] fetched the main website but returned only raw React bundle HTML; the actual content about what Rebase does came from structured data (FAQ in JSON-LD) embedded in that HTML, requiring the agent to parse machine-readable metadata rather than readable page content.
- ›Steps [14, 26, 29] revealed founder credibility (Frederico Maia as ex-CEO/CTO of Meteor Software) through personal websites and prior knowledge, not through Rebase's own marketing materials—the agent had to leave the domain to substantiate the core differentiator.
- ›Step [11] (Substack article 'The Real Reason Brazilian Devs Get the Interview but Miss the Senior Offer') was the only external source that directly explained the problem Rebase solves, yet it was not authored by Rebase and had to be discovered via web search, indicating the site itself does not publish this positioning.
- ›The site explicitly withholds pricing (only revealed in 'avaliação gratuita' calls) and does not publish curriculum structure, success rates, or competitive positioning—information critical to the task that is strategically unavailable in machine-readable form.
- ›Steps [18, 32] fetched LinkedIn company page and Twitter/X account, which returned heavy JavaScript-rendered pages with minimal extractable content, adding friction without yielding actionable details beyond social proof.
- ›The agent's final answer relies on FAQ data extracted from JSON-LD metadata and founder bios rather than on site navigation or published case studies, indicating Rebase relies on live conversations and founder reputation rather than self-serve discovery.
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