CoreSight

McKinsey-grade analysis, without McKinsey's price tag

46 followers

McKinsey-grade analysis, without McKinsey's price tag

46 followers

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Knowledge base software

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Financial planning

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AI Databases

McKinsey-in-a-box. CoreSight chains AI agents to run consulting-grade projects autonomously: financial models, market research, benchmarks, slide decks. Built by ex-McKinsey & Kearney consultants who encoded the frameworks directly into the agents. Smarter with every project.

Battery AutopilotPut your MacBook battery on AI autopilot

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CoreSight Launches

CoreSight | Analyze any stock in secondsAnalyst-grade stock research, without the analyst cost

Launched on March 24th, 2026

Escape Velocity AIBuild a business plan in 60 seconds

Launched on July 23rd, 2025

Forum Threads

p/coresight

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3mo ago

Oracle is quietly becoming a cloud infrastructure player. The numbers tell an interesting story.

Most people know Oracle as a legacy database company. What's less obvious is how aggressively it has been repositioning around cloud infrastructure, and what that means for the business fundamentals underneath.

We ran ORCL through CoreSight to get the full picture. CoreSight is a multi-agent AI platform that pulls SEC filings, live market data, financial ratios, and analyst consensus to generate a full institutional-grade stock analysis in under a minute.

p/coresight

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4mo ago

How do you think about investing on top of the investments you make in your startup?

Coming from a consulting background, I spent years helping companies make high-stakes financial decisions. I find the approaches that worked for them are completely different from the ones that make sense for me personally as a founder.

As a founder, you are already running one of the most concentrated bets a person can make. Your time, your money, your reputation, all tied to one company that may or may not work out.

p/coresight

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4mo ago

Thank you for the support yesterday for CoreSight's second launch 🙏

Yesterday we launched CoreSight's new feature, Analyze a stock, and wanted to take a moment to thank everyone who tried it, upvoted, and left feedback.

Building something and putting it in front of people is always nerve-wracking. The feedback we received yesterday from those trying the product (thx!) gave us a clearer picture of what's working and what to improve next.

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