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UltraProbe — Product Hunt Launch Plan

Launch Details

Target Launch Date: Q2 2026 (April–May, Tuesday/Wednesday) Product Hunt URL: (to be created) Campaign Duration: 24 hours (00:01 AM PST launch) Product URL: https://ultralab.tw/en/probe (English)


Product Information

Product Name

UltraProbe

Tagline (< 60 characters)

Free AI security scanner — 19 attack vectors in 60 seconds (58 characters ✓)

Short Description (< 260 characters)

Scan your AI chatbot for prompt injection vulnerabilities. 19 attack vectors, 5 scan modes, A-F grading with shareable reports. Two-phase engine: deterministic regex + Gemini LLM deep analysis. Free, no signup, instant results. (227 characters ✓)

Full Description

🔍 What is UltraProbe?

UltraProbe is a free AI security scanner that tests your chatbots and LLM applications against 19 attack vectors — from basic prompt injection to advanced multi-language bypass and unicode exploits.

Most AI chatbots ship without any security testing. UltraProbe changes that in 60 seconds.

⚡ How it works:

1. Choose a scan mode (Prompt, URL, SEO, AEO, or Competitor)
2. Paste your system prompt or enter a URL
3. Get an A-F security grade + detailed vulnerability report
4. Fix issues with actionable recommendations

🛡️ 19 Attack Vectors:

• Role Escape — Breaking out of assigned AI roles
• Instruction Override — Malicious prompt replacement
• Data Leakage — Exposing system prompts or secrets
• Output Manipulation — Forcing unsafe output formats
• Multi-language Bypass — Using non-English text to evade filters
• Unicode/Homoglyph Attacks — Character-level exploits
• Context Overflow — Overwhelming input buffers
• Indirect Injection — Attacks via URLs or external data
• Social Engineering — Emotional manipulation of AI
• Output Weaponization — Generating phishing/malware content
• Jailbreak Patterns — Known ChatGPT/Claude/Gemini bypasses
• Token Smuggling — Hidden instructions in tokenization gaps
• Encoding Attacks — Base64/hex-encoded prompt injection
• Delimiter Confusion — XML/JSON/markdown injection
• Persona Hijacking — Forced character switches
• Memory Poisoning — Persistent context contamination
• Tool Abuse — Exploiting function calling capabilities
• Hallucination Exploitation — Forcing confident false outputs
• Chain-of-Thought Manipulation — Reasoning pathway attacks

🎯 5 Scan Modes:

1. **Prompt Scan** — Paste your system prompt, get instant vulnerability analysis
2. **URL Scan** — Enter any URL, we detect chatbots and scan them automatically
3. **SEO Audit** — Technical SEO health check (free, $0 cost)
4. **AEO Audit** — AI Engine Optimization readiness check
5. **Competitor Analysis** — Analyze competitor AI implementations

🔧 Two-Phase Engine:

Phase 1: Deterministic regex engine (< 5ms, 100% reproducible)
Phase 2: Gemini LLM deep analysis (contextual vulnerability assessment)

This means results are consistent AND intelligent.

✅ Why UltraProbe?

• 100% Free — No credit card, no signup, no limits
• 19 Attack Vectors — More comprehensive than paid alternatives
• 5 Scan Modes — Security + SEO + AEO + Competitor in one tool
• Instant Results — Under 60 seconds per scan
• Privacy-First — Your prompts are never stored
• Bilingual — Full English + Traditional Chinese support

🌟 Who is this for?

• SaaS founders deploying AI chatbots
• Security teams auditing LLM applications
• Developers integrating ChatGPT/Claude/Gemini
• SEO professionals checking AI readiness
• Anyone worried about prompt injection

🚀 Try it now: ultralab.tw/en/probe

Gallery Assets

1. Hero Image (1270x760px)

Concept: Dark cyber theme with red/blue gradients

Content:

  • UltraProbe logo
  • Headline: "Is Your AI Chatbot Secure?"
  • Subheadline: "19 attack vectors · 5 scan modes · Free"
  • CTA button mockup: "Scan Now — Free"
  • Background: Dark grid pattern + glowing red/blue orb

File: ph-hero.png

2. Screenshot 1: Scan Interface (1270x760px)

Shows: Homepage with 5 scan mode tabs (Prompt / URL / SEO / AEO / Competitor)

Annotations:

  • "5 scan modes in one tool"
  • "No signup required"

File: ph-scan-interface.png

3. Screenshot 2: Scanning Animation (1270x760px)

Shows: Timeline with scan progress steps + real-time analysis

Annotations:

  • "Two-phase engine: Regex + Gemini AI"
  • "Under 60 seconds"

File: ph-scanning.png

4. Screenshot 3: Results Report (1270x760px)

Shows: Security grade (e.g. B-), vulnerability list with severity tags, fix recommendations

Annotations:

  • "A-F security grading"
  • "Actionable fix suggestions"

File: ph-results.png

5. Screenshot 4: URL Scan with Chatbot Detection (1270x760px)

Shows: URL scan detecting embedded chatbot, tech stack identification

Annotations:

  • "Auto-detects 20+ chatbot platforms"
  • "Tech stack fingerprinting"

File: ph-url-scan.png

6. Screenshot 5: SEO/AEO Audit (1270x760px)

Shows: SEO audit results with category scores

Annotations:

  • "SEO + AEO — $0 cost, pure HTML parsing"
  • "Bonus: AI Engine Optimization check"

File: ph-seo-aeo.png

7. GIF Demo (1270x760px, < 5MB, 10 seconds)

Sequence:

  1. Landing page with 5 tabs visible
  2. User selects "Prompt Scan"
  3. Pastes a vulnerable system prompt
  4. Clicks "Scan Now"
  5. Scanning animation (3 seconds)
  6. Results appear with Grade C
  7. Scrolls through vulnerability list
  8. Total loop: ~10 seconds

File: ph-demo.gif


Maker's First Comment

Hey Product Hunt! 👋

I'm Min-Yi, solo founder at Ultra Lab. I built UltraProbe because I kept seeing AI chatbots ship to production with zero security testing.

The problem is simple: prompt injection is the #1 vulnerability in LLM applications (OWASP LLM Top 10), but most teams don't test for it. They deploy a chatbot, cross their fingers, and hope nobody types "ignore previous instructions."

So I built a scanner that tests for it — 19 attack vectors, 60 seconds, completely free.

🔍 What makes UltraProbe different:

- **Two-phase engine**: First, a deterministic regex scan (< 5ms, 100% reproducible). Then, Gemini AI deep analysis for contextual vulnerabilities. You get consistency AND intelligence.

- **5 scan modes**: Not just prompt testing — also URL scanning (auto-detects chatbots on any website), SEO audit, AEO (AI Engine Optimization) check, and competitor analysis. All in one tool.

- **19 attack vectors**: From basic role escape to advanced token smuggling and chain-of-thought manipulation.

- **Actually free**: No credit card, no signup, no "free tier with limits." Just paste and scan.

- **Shareable reports**: Every scan generates a unique report URL you can share with your team. OG previews included — share it on Slack, Threads, or Discord and it shows the grade instantly.

The whole thing runs on Vercel serverless + Gemini Flash. I also run a 4-agent AI fleet on a local NVIDIA RTX 3060 Ti for our other products — we're an AI product company that eats our own cooking.

🚀 Try it: ultralab.tw/en/probe

I'll be here all day answering questions about prompt injection, AI security, or how we built this. AMA!

Topics / Tags

Select 5 (PH allows up to 5):

  1. Artificial Intelligence
  2. Cybersecurity
  3. Developer Tools
  4. Free
  5. SaaS

Links

Field URL
Website https://ultralab.tw/en/probe
Company https://ultralab.tw/en/
Blog https://ultralab.tw/en/blog
Discord https://discord.gg/ewS4rWXvWk
Threads https://www.threads.net/@ultralab.tw

Pre-Launch Checklist

Now (March 2026)

  • Create Product Hunt maker account
  • Upvote and comment on 10-15 products (build genuine activity)
  • Design 6 gallery images (1270x760px each)
  • Record GIF demo (10 seconds, scan → results)
  • Verify OG tags render correctly for ultralab.tw/en/probe

2 Weeks Before Launch

  • Submit product to Product Hunt (set future launch date)
  • Finalize maker's comment
  • Prepare FAQ responses for common questions
  • Test all links
  • Share launch date on Discord, Threads, Bluesky

Launch Day (Tuesday or Wednesday, 00:01 AM PST)

  • Go live
  • Post maker's comment within 5 minutes
  • Monitor and reply to every comment (all day)
  • Share on: Threads, Discord, Bluesky, Moltbook, Reddit (/r/netsec, /r/ChatGPT)
  • Track: upvotes, website traffic, scan count, email leads

Post-Launch Week

  • Blog: "We Launched on Product Hunt — Here's What Happened"
  • Threads thread: key metrics + lessons learned
  • Analyze feedback, prioritize feature requests
  • Follow up with anyone who expressed interest

Success Metrics

Realistic targets (solo founder, first launch):

Metric Target Stretch
PH upvotes 100+ 300+
Website visitors (day 1) 500+ 2,000+
Scans completed (day 1) 100+ 500+
Email leads 30+ 100+
PH comments 10+ 30+

Long-term (1 month post-launch):

  • 500+ monthly scans
  • 200+ email leads total
  • SEO traffic from PH backlink

Risk Mitigation

Risk Mitigation
Low engagement Pre-build PH activity, share with Discord + Threads community
Accuracy complaints State limitations clearly, offer to improve from feedback
Competitor comparison Emphasize FREE + 5 modes + 19 vectors — more than paid tools
Server overload Vercel auto-scales, Gemini has rate limits, monitor closely
Negative comments about email gate Email gate only appears after full results shown — it's for detailed PDF, not blocking the scan

Last Updated: 2026-03-10 Owner: Min-Yi Chen, Ultra Lab Contact: minyi@ultralab.tw