Products

AegisMind

AI-native

AI-Powered Research Discovery

aegismind.app SourceWriting & Documents / Academic Writing & Research

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Oct 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
John Goodman
@aegismind_app· 3 followers
Launched
13mo ago
2025-11-05 · Est.

Traffic

Last 12 months
Monthly visitsData through Oct 2026
Events4 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
X accounts@aegismind_app

  • Launched on Show HN (2 pts · 1 comments)Launch

    AI models debate each other on cross-domain research hypotheses — We built a research discovery pipeline that ingests papers from arXiv and Semantic Scholar, finds cross-domain connections, generates hypo…

    Feb 25 · 9mo agoLaunch page

  • Launched on Show HN (2 pts)Launch

    AegisMind Discover – cross-domain hypothesis generation from papers — I built a system that reads research papers across unrelated domains and tries to surface hypotheses that neither field would have generat…

    Feb 24 · 9mo agoLaunch page

  • Launched on Show HN (3 pts · 1 comments)Launch

    AegisMind–AI system with 12 brain regions modeled on human neuroscience

    Feb 8 · 9mo agoLaunch page

  • Launched on Product HuntLaunch

    AI that talks to itself - Bias detection built-in

    Nov 5, 2025 · 13mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2026-02-24Source
Post excerpt:
I built a system that reads research papers across unrelated domains and tries to surface hypotheses that neither field would have generated on its own. The Discover page is where it publishes findings: https://aegismind.app/discoveries It's very early — only three discoveries so far — but the core idea is what I want feedback on. The problem it's trying to
Show HN
2026-02-25Source
Post excerpt:
We built a research discovery pipeline that ingests papers from arXiv and Semantic Scholar, finds cross-domain connections, generates hypotheses with a multi-model ensemble, formally verifies them with Z3, then stress-tests survivors in adversarial debate. The twist: we capture and display what each model said when critiquing. No single-model black box — you

Open Source & Self-Hosting

GitHub · MCP / Skill
AegisMindApp/precision-tetrahedron
GitHub Stars
Public repo
Forks
—
License
See repository
Primary language
—
Browse peer open-source projects →

Traffic sources

Oct 2026

Traffic breakdown

Channels

No data yet

Countries

No data yet

Search

Domain authority —Domain registered 2025-10-18

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2025-11-05

Key pages

Weekly snapshots
www.aegismind.app/ Snapshot 2026-11-09

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does AegisMind get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is AegisMind and what platforms does it support?
AegisMind is catalogued under Academic Writing & Research: AI-Powered Research Discovery. Supported platforms: Web.
Is AegisMind open source?
AegisMind has a public repository (https://github.com/AegisMindApp/precision-tetrahedron) with its source repository published.Source

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