IdeaWell

Project ideas from Hacker News discussions.

Legal experts warn Meta's new terms still grant broad scraping permissions

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

Theme 1: Robots.txt is ineffective
Many commenters stress that relying on robots.txt to stop crawlers is futile.
- “Never rely on robots.txt. Configure it, but do not rely on it. A bot will do what a bot can do.” – Bender
- “I have been writing bots and scrapers for almost 20 years. Not once have I had someone I work for in this capacity even ask about robots.txt.” – xmcp123
- “Calling this ‘disabling’ it is inaccurate, it's just ‘asking nicely’.” – saghm

Theme 2: Deceptive or technical countermeasures
Participants discuss tactics that mislead or hinder bots, such as feeding false data, “angel banning,” or lightweight responses.
- “Angel banning is better… giving it seemingly correct and useful but totally wrong answers.” – zeryx
- “Returning some text files from the server fs is wayyy lighter than letting the bot go through the search, middleware, and db while crawling your stuff.” – literalAardvark
- “Their bots are trivial to spot so close the connection, bonus if done silently _closing the socket…” – Bender

Theme 3: Corporate power and the limits of legal notices
The conversation frequently turns to criticism of large platforms (especially Meta/Zuckerberg) and the notion that legal statements cannot stop determined scraping.
- “DON'T TOUCH META's apps. Zuck is PUBLIC ENEMY #1” – DivingForGold
- “Legal notices are designed to be as scary as possible so they usually say you can't do things that you actually can do.” – mitxela
- “Humanity experts warn oligarchs, 'not good’ … News at never.” – cyanydeez

🚀 Project Ideas

BotShield Middleware

Summary

  • Detects and throttles malicious bots using UA, TLS JA4, ASN, and behavior, enabling silent connection drops or false data injection.
  • Core value proposition: easy‑to‑drop‑in protection that stops scrapers without relying on robots.txt.

Details

Key Value
Target Audience Website owners, DevOps, security engineers
Core Feature Real‑time bot fingerprinting with configurable actions (silent close, tarpit, false data, zip bomb)
Tech Stack Go middleware (or Node.js/ Rust), plug‑ins for Express, Django, Flask; configurable via YAML; optional sidecar
Difficulty Medium
Monetization Revenue-ready: tiered SaaS ($0‑$50/mo based on request volume)

Notes

  • HN commenters stressed that “Never rely on robots.txt. Configure it, but do not rely on it” (Bender) and asked for ways to “close the connection … inhibiting first RST” – BotShield does exactly that.
  • Provides a practical tool for the “angel banning” idea (zeryx) by serving plausible but useless data, sparking discussion on effective anti‑scraping tactics.

AngelBan Service

Summary

  • Generates convincing but incorrect data (angel banning) for scrapers who request structured endpoints, wasting their resources while preserving legitimate traffic.
  • Core value proposition: protects proprietary datasets by feeding scrapers synthetic poison that is hard to detect as fake.

Details

Key Value
Target Audience SaaS platforms, content publishers, API providers wanting to guard data from AI crawlers
Core Feature On‑the‑fly generation of schema‑matching false responses using templating or small ML models
Tech Stack Python/FastAPI, optional GPT‑Neo‑small or rule‑based templating, Docker container, Redis for caching
Difficulty Medium‑High
Monetization Revenue-ready: usage‑based pricing ($0.001 per 1k false responses)

Notes

  • zeryx said “Angel banning is better… giving it seemingly correct and useful but totally wrong answers” – this service implements that concept as a turnkey API.
  • Enables debate on the ethics and efficacy of poisoning AI training data, a hot topic on HN.

ScrapeWatch Dashboard

Summary

  • Aggregates web server logs, detects scraping patterns (UA rotation, ASN, TLS JA4, request velocity), and offers automated countermeasures (tarpit, false data, legal notice generation).
  • Core value proposition: gives site admins visibility and actionable defenses against persistent scrapers without manual rule‑tinkering.

Details

Key Value
Target Audience Site administrators, security analysts, ops teams
Core Feature Real‑time scraping detection dashboard with alerting and one‑click mitigation actions
Tech Stack Go/log pipeline, Loki/Prometheus for metrics, Grafana for UI, optional Webhook integration for actions (e.g., NGINX lua, Cloudflare Workers)
Difficulty Medium
Monetization Revenue-ready: SaaS subscription ($29/mo Basic, $99/mo Pro)

Notes

  • xmcp123 noted “I have been writing bots and scrapers for almost 20 years… not once have I had someone… ask about robots.txt,” highlighting the need for automated detection like ScrapeWatch.
  • Provides a concrete platform for discussing anti‑scraping strategies and could become a community‑driven rule‑share hub.

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