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MailAccess

the true Email OSINT framework

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This is 1 of 42 launches in cyber threat intelligence platforms — see how it stacks up on momentum and crowding →

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Details

External ID
49977385
Source
HN
Company
—
Product
MailAccess
Website domain
mailaccess.pro
Launched
Oct. 6, 2026
Cohort
—
Upvotes
75
Upvotes percentile
0.87
Tags
—

Description

Im a security engineer and i built mailaccess. When i started learning pentesting, i came across multiple lectures and notes of people listing out tools and websites, which gives the emails for a particular domain, and almost all of them mentioned that the tool might not stick, so its better to learn the methodology, rather than learning a tool- that stuck with me. As i was beginning to really get into pentesting i noticed a clear lack of email osint methodology through the tool itself - so i thought of building one myself. I researched email osint methodoliges and identity chaining in depth to really get this tool the exact brain that a human would use, the reasoning of each action and the scoring behind each of it. Then after learning i just put it all together, and people really liked ita nd supported it, because it gave the truth rather than just filling it with names, it doesnt give a list, it gives sections, where it came from and how. Thats exactly what i wouldve wanted when i was first learning, a tool that familiarizes with what each source gave, and what was found.Do check it out, i have made a hosted version so that people can route everything through that, and that also has been going very well, all thanks to the community and the solid supporters throughout.github.com/KatrielMoses/MailAccess

Enrichment

Niche
cyber threat intelligence platforms
Vertical
Security
Function
Search & retrieval
Audience
Prosumer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
open source intelligence framework for email investigations
Manually corrected
False

Could you build this?

Partial The web UI and basic OSINT aggregators can be vibe-coded, but maintaining 75 scraper modules across 5,300+ platforms without API keys requires constant anti-bot evasion and maintenance.

What it would actually take: A production version requires an asynchronous Python/Node crawling engine coupled with proxy rotation pools (residential IPs, CAPTCHA solvers) to query thousands of third-party platforms without getting blocked. It needs graph database storage (like Neo4j) to correlate identities, calculate confidence scores, and resolve entities across diverse schema sources. The primary challenge is maintaining thousands of fragile scraping endpoints and bypass techniques against aggressive rate-limiting.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 70 launches clear the similarity bar, closest 8 shown.

Attention rank: #11 of 71 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 312 days after the earliest competitor.

Other launches for this product