REVIEWS / GENERAL / OWNER INSIGHTS
🦉 WE READ 712 OWNER COMMENTS
Loses AI: what owners actually say
Commenters across platforms describe AI tools as unaccountable, overreaching on permissions, and prone to deleting or freezing legitimate content with no recourse.
What owners complain about
- AI moderation wrongly nuking content SOME
YouTube's AI moderator deleted large channels (one with ~10M subs, later restored) and pulled Windows 11 workaround videos. A separate user reported AI froze a shared work Excel sheet for 'TOS violation' — it eventually came back but caused real disruption.
- Excessive GitHub permissions demanded SOME
Gecko Security's OAuth flow asks to 'act on your behalf', write email address and profile settings. Multiple HN commenters called it a 'hard no' and requested fine-grained, repo-scoped permissions instead.
- Security scanning misses real vulnerabilities SOME
A user tested Gecko against a C project where Semgrep had flagged a real issue — Gecko found nothing. Another user scanned a full project (10 minutes) and got a single finding they considered low-value. Commenters also noted no C/C++ support, which they called a significant gap for a security tool.
- Free tier aggressively limited FEW
Gecko's free tier allows only one scan per user total — deleting a scan to start a new one doesn't work because of this restriction.
- No accountability for AI failures COMMON
Commenters across Lemmy and Reddit cite lack of accountability as one of AI's biggest problems, with no clear path for users to contest or reverse wrongful automated actions.
What owners love
- Context-aware vulnerability detection shows promise
HN commenters see real value in AI security tools that understand code purpose and business logic — auth bypasses, privilege escalations, IDORs — rather than relying on pattern-matching checks that 'aren't that effective for catching anything but the most basic vulnerabilities.'
- Custom call-graph approach is technically interesting
Multiple HN users engaged deeply with Gecko's stack-graph-inspired approach to building definition/reference nodes, calling it 'very interesting and cool' and noting the academic difficulty of accurate call graphs in dynamic languages.
- Potential to solve fuzzing dead-ends
A commenter noted AI could help fuzzers overcome checksum blockers by reading source code and generating the correct values, something traditional fuzzers cannot do without manual build modifications.
Surprising patterns
- A user's legitimate shared work Excel spreadsheet was frozen by AI for a TOS violation — suggesting AI content moderation extends beyond public platforms into workplace productivity tools.
- YouTube channels with millions of subscribers are being deleted and restored within hours by AI moderation, with no apparent human review before deletion.
- Engineers anticipate a 'death by a thousand false positives' scenario where bosses who bought AI security tools will flood teams with triage work that outweighs any genuine findings.
WHO SHOULD SKIP IT
Anyone working primarily in C/C++ codebases, or who cannot grant broad GitHub 'act on your behalf' access — the tool doesn't support those languages and demands permissions many developers refuse to give.
Synthesised from 712 real owner comments across 4 platforms. Every point is grounded in the comments — no marketing, no AI guessing. How we do it →