IdeaWell

Project ideas from Hacker News discussions.

How we hacked McKinsey's AI platform

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

1. AI‑generated writing feels “sloppy” and untrustworthy

“It just sounds so stupid.” – causal
“This reads like it was written by an LLM.” – darkport
“I have grown to despise this AI‑generated writing style.” – drc500free

2. McKinsey’s tech culture is seen as weak and “software‑illiterate”

“McKinsey’s world‑class technology teams… are actually contractors.” – frereubu
“They’re basically a bunch of consultants who don’t know what they’re doing.” – cmiles8
“The tech initiative was a failure and Lilli’s problem is just a symptom of it.” – itsnotme12

3. AI agents expose serious security gaps (prompt injection, SQLi, writable prompts)

“Within 2 hours, the agent had full read and write access to the entire production database.” – cs702
“The system prompts could be changed through the same flaw.” – maciusr
“The agent had no credentials, no insider knowledge, just a domain name and a dream.” – gbourne1

4. Consulting firms are criticized for being a “political tool” rather than a technical partner

“They’re just a way to legitimize a decision that’s already been made.” – entropes
“You can hire them to get the credit or to pin the blame.” – steve1977
“They’re a ‘scapegoat’ for any failure.” – frankfrank13

These four threads dominate the discussion, framing the debate around AI‑authored content, McKinsey’s internal tech competence, the new security risks of autonomous agents, and the real value (or lack thereof) that consulting firms bring to technology projects.

🚀 Project Ideas

API Exposure Scanner & Remediation

Summary

  • Detects publicly exposed API endpoints that lack proper authentication or authorization.
  • Provides automated remediation suggestions and CI/CD integration to prevent future misconfigurations.
  • Core value: reduces risk of accidental data exposure and saves security teams time.

Details

Key Value
Target Audience DevOps, SRE, security engineers in mid‑to‑large enterprises
Core Feature Automated scanning of public endpoints, misconfiguration detection, remediation workflow, CI/CD hooks
Tech Stack Python, Go, OpenAPI/Swagger parsing, Terraform provider, GitHub Actions, Docker
Difficulty Medium
Monetization Revenue‑ready: tiered subscription (free, pro, enterprise)

Notes

  • HN commenters lament “public endpoint” exposure and lack of auth (“Most required authentication. Twenty‑two didn't.”).
  • Security teams will appreciate a tool that surfaces these gaps before attackers do.
  • Discussion around “no credentials, no insider knowledge” highlights the need for automated checks.

Transparent AI Writing Assistant

Summary

  • AI‑powered writing tool that explicitly marks AI‑generated text, allows human editing, and tracks attribution.
  • Enforces content policies and provides a “human‑in‑the‑loop” audit trail.
  • Core value: restores trust in AI‑generated content and satisfies regulatory transparency.

Details

Key Value
Target Audience Content creators, marketers, technical writers, journalists
Core Feature AI generation with inline AI‑tags, real‑time human editing, policy compliance checks, versioned attribution
Tech Stack React, Node.js, OpenAI/Claude API, PostgreSQL, Docker
Difficulty Medium
Monetization Revenue‑ready: freemium with paid tiers for advanced policy engines

Notes

  • Users complain about “AI slop writing” and lack of transparency (“AI writes blog post”).
  • The tool addresses the frustration that “AI writing” feels like “nails on the chalkboard” without human oversight.
  • Provides a practical utility for HN readers who want to publish AI‑assisted content responsibly.

Secure Prompt Store & Audit

Summary

  • Centralized, versioned repository for AI prompts with strict access controls and audit logs.
  • Isolates prompts from user data to prevent prompt injection and data leakage.
  • Core value: protects AI systems from internal and external tampering and meets compliance requirements.

Details

Key Value
Target Audience Enterprise AI teams, security architects, compliance officers
Core Feature Prompt versioning, RBAC, immutable audit trail, integration with CI/CD and monitoring
Tech Stack Rust, gRPC, PostgreSQL, Kubernetes, OpenTelemetry
Difficulty High
Monetization Revenue‑ready: SaaS with per‑prompt or per‑user pricing

Notes

  • HN discussion highlights “system prompts stored in the same database” and the risk of “write access to its own configuration”.
  • The tool directly tackles the pain of “prompt injection” and “data leakage” fears expressed by security experts.
  • Offers a concrete solution for companies that deploy LLMs in production.

AI Pen Test Sandbox

Summary

  • Safe, isolated environment for running autonomous AI agents against your own web services.
  • Provides monitoring, logging, and automatic rollback to prevent accidental damage.
  • Core value: lets security teams test AI‑driven attack vectors without risking production systems.

Details

Key Value
Target Audience Security researchers, red‑team engineers, DevSecOps teams
Core Feature Containerized sandbox, AI agent orchestration, real‑time telemetry, automated remediation
Tech Stack Docker, Kubernetes, OpenAI API, Prometheus, Grafana
Difficulty Medium
Monetization Hobby (open source) with optional paid support

Notes

  • The discussion shows that “AI agents” can perform “SQL injection” and “prompt injection” autonomously.
  • A sandbox addresses the frustration of “no human‑in‑the‑loop” and the need to safely evaluate AI attack capabilities.
  • Provides a practical utility for HN readers who want to experiment with AI penetration testing responsibly.

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