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Gulp, our take at incident response

Details

External ID
46888317
Source
HN
Company
—
Product
Gulp, our take at incident response
Website domain
github.com
Launched
Feb. 4, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.10512129380053908
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi HN!We're excited to share Gulp — an open-core platform for incident response and threat hunting we've been building for the past 2 years at Mentat(https://mentat.is), a small Italian cybersecurity company.The problem: We were frustrated with existing IR tools. They're either too slow, make real-time collaboration painful during live incidents, or force you to fight with different log formats instead of actually investigating.What Gulp does differently:- Visual timeline analysis — Our color-coded timeline visualization lets you spot anomalies instantly. Instead of drowning in raw logs, suspicious events, correlations, and IoCs literally jump out at you. Different colors tell different stories; one look tells you where to dig.- Actually fast — Built on OpenSearch 3.x, PostgreSQL and Redis. Horizontal scaling via load-balanced instances when you need to handle serious volume.- Real-time collaboration — Multiple analysts working the same incident, synchronized timelines, shared notes. No more "wait, which events were you looking at?"- Native format support — EVTX, PCAP, Suricata, Zeek, ElasticSearch, Wazuh, and more out of the box. Plus ECS mapping, SIGMA rules, and OpenSearch queries.- AI-powered hunting — Built-in AI Assistant plugin (free in Community Edition) that flags suspicious events and correlates across sources. One click to find shared indicators.New in 1.6.0: Rewritten collaboration engine with WebSocket-based real-time updates, real-time network sensor ingestion (see https://github.com/mentat-is/slurp-ebpf for a working eBPF example), new plugins (Suricata, MemprocFS, Zeek, AI Assistant), manual query mode + table view, and auto-saved sessions.Gulp uses an open core model. The Community Edition is fully open source (AGPL). We also offer a Pro version with advanced plugins for better AI features, automated reporting, Velociraptor integration, plus dedicated support.Repos: https://github.com/mentat-is/gulp (backend) and https://github.com/mentat-is/gulpui-web (web UI)Handling an incident with Gulp: https://www.youtube.com/watch?v=fl_jtCIIS2kThis is our first major public push — we've been iterating quietly and now feel it's ready for wider use. If you do DFIR or threat hunting, we'd genuinely love your feedback. GitHub stars, issues, and PRs absolutely welcome!

Enrichment

Theme
browser automation and scraping for AI
Vertical
Horizontal
Function
Workflow automation
Audience
B2B
AI stance
—
Project type
—
Normalized one-liner
incident response management
Manually corrected
False

Could you build this?

No An incident response and threat hunting platform requires deep low-level endpoint telemetry parsing, massive log ingest capabilities, and domain expertise in digital forensics.

What it would actually take: A real IR/threat hunting platform requires high-throughput data pipelines (e.g., Kafka, ClickHouse/DuckDB) capable of ingesting gigabytes of endpoint artifacts (MFT, evtx, memory dumps, process trees). It needs custom parsers written in Rust/C++ for OS-specific forensic artifacts and advanced query engines capable of fast correlation across millions of events. Developing this demands elite digital forensics and incident response (DFIR) domain knowledge along with high-scale systems engineering.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 24 launches clear the similarity bar, closest 8 shown.

Attention rank: #20 of 25 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 81 days after the earliest competitor.

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