Go

God's Eye – Subdomain recon with local AI analysis

Hacker News

God's Eye – Subdomain recon with local AI analysis

Hi HN! I built God's Eye, an AI-powered subdomain enumeration tool that combines traditional recon techniques with local LLM analysis. What makes it different: - 100% local & private - no data leaves your machine - Zero API costs - uses Ollama with models like DeepSeek-R1 and Qwen2.5-Coder - 20 passive sources (crt.sh, Certspotter, AlienVault, etc.) - AI analysis of discovered subdomains for security insights - Written in Go for speed I built this because most subdomain tools just dump lists without context. Adding AI analysis helps identify interesting targets faster during pentests and bug bounties, but I wanted to keep everything local for privacy and cost. The AI features are optional - you can use it as a traditional enum tool too. Would love feedback from the security folks here! What other analysis would be useful to add? GitHub: https://github.com/Vyntral/god-eye

Visit product View on Hacker NewsNov 25, 2025

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, models · Missing: agents, macos, agent

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: llama, ide, io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

CANSAT-GCS40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GCS for CanSat missions with local AI telemetry analysis

DataPortia50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

On-premises industrial data acquisition with local AI

Indie Hackers1$500/moai

Ccsum – no more eye strain from sha256sum33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ccsum – no more eye strain from sha256sum

CompeteIQ28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Eagle Eye A.I.

Indie Hackers1analytics

God's Eye – AI-powered subdomain recon with local LLM30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

God's Eye – AI-powered subdomain recon with local LLM

Tool to combat eye fatigue44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tool to combat eye fatigue

NEXIS-X63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NEXIS-X Local AI Assistant

PosturePerfect10%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fix your slouch with private, local AI

My Eye42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI eye-color analyzer

Indie Hackers1$500/moart

proworkbench35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A governed, local-first AI workbench

Indie Hackerscommitment-full-time

Browse all products Analyze your launch