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I Built a macOS Menu Bar App That Sends Text to Any AI in 2 Seconds

I kept switching between AI tabs all day — Claude for code reviews, ChatGPT for API lookups, Gemini for translations. The constant copy-paste-switch loop was killing my flow, so I built something to fix it. What is G…

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I kept switching between AI tabs all day — Claude for code reviews, ChatGPT for API lookups, Gemini for translations. The constant copy-paste-switch loop was killing my flow, so I built something to fix it.






What is GroAsk?



GroAsk is a native macOS menu bar app. Press ⌥Space, type your question, Tab to pick an AI, hit Enter. The question gets sent to the AI's website automatically. The whole thing takes under 2 seconds.



GroAsk workflow






Features I Use the Most






Select & Ask



Select any text on screen — error messages, code snippets, paragraphs — hit the shortcut, and it goes straight to the AI. No copy-paste needed.






Claude Code GUI



Launch Claude Code from anywhere without opening Terminal. It auto-detects your project directory. If you use Claude Code daily, this alone is worth it.






Image Questions



Cmd+V to paste a screenshot and ask the AI about it. Great for asking "how do I implement this layout?" from a design mockup.






Silent Mode



Hold Option when submitting. The question gets sent but your focus stays where it is — keep coding while the AI thinks.






How It Works



Built with Swift + SwiftUI, native and lightweight (~30MB RAM). It uses Chrome AppleScript to auto-fill and submit questions on AI websites.



The clever part: when AI websites update their UI (which happens often), the injection scripts update from the server automatically — no app update needed.



If the primary method fails, it gracefully degrades to clipboard mode (copies the question so you can paste it manually).






Free vs Pro



Free includes 4 channels: ChatGPT, Gemini, DeepSeek, Kimi — enough for daily use.



Pro unlocks Claude, Claude Code, and the productivity features above (Select & Ask, image upload, silent mode).







macOS 13.0+, Apple Silicon & Intel supported.






Happy to answer any questions or take feedback!

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - I Built a macOS Menu Bar App That Sends Text to Any AI in 2 Seconds
id: 7e3d99fa-7520-4065-96bb-004f3bb97d01
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "I Built a macOS Menu Bar App T" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("I Built a macOS Menu Bar App That Sends ")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*I Built a macOS Menu Bar App That Sends *"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "I Built a macOS Menu Bar App That Sends "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich I Built a macOS Menu Bar App That Sends .... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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