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82puntuación
HN · front_page
SaaS subscription
Build

Hosted SSH Honeypot Analytics SaaS

A hosted analytics layer for SSH honeypots can turn raw session logs into real-time dashboards, attacker behavior timelines, and searchable incident views. The clearest commercial angle is selling time savings and better visibility to small teams that want insight without assembling open-source parts themselves.

En aumento +100%5 canalesTendencia de menciones de 30 días: latest 3, peak 3, 30-day series
Ver en Reddit
Descubierto 18 jul 2026

Por qué es importante

You run a few public servers and your logs are full of login attempts every day. You know attacks are happening, but most existing visibility comes from flat logs and DIY scripts, so learning what bots actually do takes too much setup. If you want something educational enough for your team and operational enough for real monitoring, you end up stitching together a collector, parser, stream processor, and dashboard yourself. What you really want is to connect your honeypot and immediately see which sources are active, what commands are executed, what files are dropped, and whether a session looks like commodity automation or a real operator.

  • · Creado para Indie sysadmins, small SaaS teams, VPS operators, and security-conscious engineering teams running internet-exposed servers..
  • · Monetización más probable: SaaS subscription.

El Dolor · Narrativa

You run a few public servers and your logs are full of login attempts every day. You know attacks are happening, but most existing visibility comes from flat logs and DIY scripts, so learning what bots actually do takes too much setup. If you want something educational enough for your team and operational enough for real monitoring, you end up stitching together a collector, parser, stream processor, and dashboard yourself. What you really want is to connect your honeypot and immediately see which sources are active, what commands are executed, what files are dropped, and whether a session looks like commodity automation or a real operator.

Desglose de puntuación

Intensidad del dolor8/10
Disposición a pagar6/10
Facilidad de construcción6/10
Sostenibilidad7/10

Señal de Mercado

Tendencia de menciones de 30 díasPico: 3
Sparkline: latest 3, peak 3, 30-day series
Canales cubiertos
front_pageselfhostedwebdevshow hnSEO

Estrategia de lanzamiento

Usuario objetivo exacto

Solo operators and small engineering teams already running public Linux servers who are comfortable deploying a honeypot but do not want to build analytics around it.

Número estimado de usuarios

~50K-200K realistic early adopters globally

Canal de adquisición principal

Hacker News launch

Ancla de precio

$29/month

Primer hito

20 paying teams or 100 connected honeypots within 30 days of launch

Alcance del MVP · 1-2 semanas

Semana 1
  • Build Cowrie JSON log ingester with local file and webhook input
  • Store sessions, auth attempts, commands, and file events in PostgreSQL
  • Create simple web dashboard listing active IPs and nested sessions
  • Add WebSocket stream for live event updates
  • Deploy demo instance with synthetic and test honeypot data
Semana 2
  • Add session search, filters, and replay timeline
  • Integrate ASN, country, and cloud-provider enrichment API
  • Ship email or webhook alerts for high-volume activity
  • Add shareable read-only views with masked sensitive fields
  • Implement Stripe billing and self-serve onboarding
Funciones MVP: One-click Cowrie log ingestion · Real-time session dashboard with grouped attacker activity · Command, file, and tunneling event timelines · Searchable history and alerting · Cloud-provider and ASN enrichment

Diferenciación

Soluciones existentes
CowrieSecureHoneySpur
Nuestro enfoque
There is a gap between open-source honeypot collectors, generic IP data providers, and reliable privacy-safe publication tools. Users want turnkey visibility, enrichment, and responsible sharing in one product.

Por qué esto podría fallar

Autorrefutación: la señal de confianza más importante

  1. 1The buyer pool may be narrower than interest suggests because many commenters are enthusiasts, not budget owners.
  2. 2Open-source collectors plus simple dashboards may be good enough for technical users who enjoy self-hosting.
  3. 3If the product does not connect visibility to practical actions like blocking or reporting, teams may not renew after initial curiosity.

Resumen de evidencia

Cómo la IA sintetizó esta información: sin citas textuales

Several participants described constant SSH attacks as a normal operational burden, and multiple comments found the live dashboard unexpectedly educational. There was repeated interest in session grouping, richer metadata, and attribution by provider or location. The original setup also revealed clear implementation friction, since getting useful visibility required several self-assembled components rather than a turnkey product.

1 1 publicación analizada5 5 canalesAI · Sintetizado por IA · sin citas textuales

Plan de Acción

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Construir

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Kit de Textos para Landing Page

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Titular

Hosted SSH Honeypot Analytics SaaS

Subtítulo

A hosted analytics layer for SSH honeypots can turn raw session logs into real-time dashboards, attacker behavior timelines, and searchable incident views. The clearest commercial angle is selling time savings and better visibility to small teams that want insight without assembling open-source parts themselves.

Para Quién Es

Para Indie sysadmins, small SaaS teams, VPS operators, and security-conscious engineering teams running internet-exposed servers.

Lista de Funciones

✓ One-click Cowrie log ingestion ✓ Real-time session dashboard with grouped attacker activity ✓ Command, file, and tunneling event timelines ✓ Searchable history and alerting ✓ Cloud-provider and ASN enrichment

Dónde Validar

Comparte tu landing page en r/HN · front_page — ahí es exactamente donde se descubrieron estos puntos de dolor.

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Report & PRDBUSINESS

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Preguntas frecuentes

¿Quién siente este problema?
Indie sysadmins, small SaaS teams, VPS operators, and security-conscious engineering teams running internet-exposed servers.
¿Es esta una oportunidad real?
Esta oportunidad tiene una puntuación de 82/100 en la métrica compuesta de Pain Spotter (intensidad del dolor, disposición a pagar, viabilidad técnica y sostenibilidad). Valídala más a fondo antes de dedicar tiempo de ingeniería.
¿Cómo debería validarla?
Realiza 5 conversaciones de descubrimiento de clientes con el público objetivo, publica una landing page con lista de espera y revisa la publicación de origen enlazada para ver la actividad reciente antes de desarrollar.