English

The domain 'icy-peach-jrm73e6vmj-cwdi9enw6j.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'icy-peach-jrm73e6vmj-cwdi9enw6j'. Count 7 characters in 'edgeone' with four vowels and three consonants. Breaking it apart gives two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

html/a8/be/a8be234a-6983-4396-89bd-3fd13806eb4a.html.gz

sha256=:8BVXy+/tHBRhbAuCI4PHS/I0wiLM9GmMiwC0nVADDiY=:

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html/a8/be/a8be234a-6983-4396-89bd-3fd13806eb4a_nodriver.html.gz

Acquiro | Acquisition Intelligence Platform

Prudence Malinki

MarkMonitor Inc.

edgeone.app

Abuse

Google LLC

GOOGLE



// ── AI CHAT ──
let aiChatOpen = false;
let aiContext = null; // currently focused company
let aiChatHistory = [];
let currentAIModel = 'gemini'; // 'gemini' or 'claude'



function toggleAIChat() {
  aiChatOpen = !aiChatOpen;
  document.getElementById('ai-chat').classList.toggle('open', aiChatOpen);
  if (aiChatOpen) {
    lucide.createIcons();
    setTimeout(()=>document.getElementById('ai-input').focus(), 200);
  }
}

function setAIContext(lead) {
  aiContext = lead;
  const bar = document.getElementById('ai-context-bar');
  bar.classList.remove('hidden');
  document.getElementById('ai-context-text').textContent = `Discussing: ${lead.company}`;
  // Auto-open chat
  if (!aiChatOpen) toggleAIChat();
  addAIMessage('assistant', `I now have **${lead.company}** in focus. What would you like to know? I can analyse their financials, suggest an approach, or help you prepare for a call.`);
}

function clearAIContext() {
  aiContext = null;
  document.getElementById('ai-context-bar').classList.add('hidden');
}

function sendSuggestion(btn) {
  document.getElementById('ai-input').value = btn.textContent;
  sendAIMessage();
}

function addAIMessage(role, text) {
  const msgs = document.getElementById('ai-messages');
  const div = document.createElement('div');
  div.className = `ai-msg ${role}`;
  const icon = role === 'assistant'
    ? `<div class="ai-msg-icon"><i data-lucide="sparkles" class="icon-xs"></i></div>`
    : `<div class="ai-msg-icon"><i data-lucide="user" class="icon-xs"></i></div>`;
  // Simple markdown: bold
  const formatted = text.replace(/\*\*(.*?)\*\*/g,'<strong>$1</strong>').replace(/\n/g,'<br>');
  div.innerHTML = `${role==='assistant'?icon:''}<div class="ai-msg-bubble">${formatted}</div>${role==='user'?icon:''}`;
  msgs.appendChild(div);
  msgs.scrollTop = msgs.scrollHeight;
  lucide.createIcons();
}

function showTyping() {
  const msgs = document.getElementById('ai-messages');
  const div = document.createElement('div');
  div.className = 'ai-msg assistant';
  div.id = 'ai-typing-indicator';
  div.innerHTML = `<div class="ai-msg-icon"><i data-lucide="sparkles" class="icon-xs"></i></div>
    <div class="ai-msg-bubble ai-typing"><span></span><span></span><span></span></div>`;
  msgs.appendChild(div);
  msgs.scrollTop = msgs.scrollHeight;
  lucide.createIcons();
}

function removeTyping() {
  const el = document.getElementById('ai-typing-indicator');
  if (el) el.remove();
}

function buildPipelineContext() {
  const counts = {NEW:0,FOLLOWUP:0,NOANSWER:0,ARCHIVED:0};
  leads.forEach(l => { if(counts[l.status]!==undefined) counts[l.status]++; });
  // Compact lead data to stay within token limits
  // Top 20 by score for main pipeline
  const topNew = [...leads].filter(l=>l.status==='NEW').sort((a,b)=>b.buyerScore-a.buyerScore).slice(0,20)
    .map(l=>`[NEW] ${l.company} | Buyer:${l.buyerScore}(${l.buyerLabel}) Exit:${l.exitScore}(${l.exitLabel}) Fin:${l.finHealth} Debt:${l.debtLiq} | ${l.sector||'?'} | ${l.owner||'?'} | ${l.turnover||'?'} | ${l.location||'?'}${l.email||l.phone?' | CONTACT:'+[l.email,l.phone].filter(Boolean).join('/'):''}`)    .join('\n');
  const topFollowup = leads.filter(l=>l.status==='FOLLOWUP')
    .map(l=>`[FOLLOWUP] ${l.company} | Buyer:${l.buyerScore}(${l.buyerLabel}) Exit:${l.exitScore}(${l.exitLabel}) | ${l.owner||'?'}${l.notes?' | '+l.notes.substring(0,80):''}`)    .join('\n');
  const allLeadsData = topNew + (topFollowup ? '\n' + topFollowup : '');
  
  // If user asked about a specific company, find and append full data
  const lastUserMsg = aiChatHistory.filter(m=>m.role==='user').slice(-1)[0]?.content||'';
  const mentionedLead = leads.find(l=>lastUserMsg.toLowerCase().includes(l.company.toLowerCase().substring(0,10)));
  const focusedLeadData = (aiContext || mentionedLead) ? (() => {
    const l = aiContext || mentionedLead;
    return `\n\nFULL DATA FOR: ${l.company}\nBuyer Attractiveness: ${l.buyerScore}/10 (${l.buyerLabel}) | Exit Propensity: ${l.exitScore}/10 (${l.exitLabel})\nFinancial Health: ${l.finHealth}/10 | Debt/Liquidity: ${l.debtLiq}/10\nSector: ${l.sector} | Director: ${l.owner}\nEmail: ${l.email||'N/A'} | Phone: ${l.phone||'N/A'} | LinkedIn: ${l.linkedin||'N/A'}\nTurnover: ${l.turnover} | Assets: ${l.assets} | Employees: ${l.employees}\nLocation: ${l.location}\nSummary: ${l.summary||'N/A'}\nCRM Notes: ${l.notes||'None'} | Deal Size: ${l.deal_size?'£'+l.deal_size.toLocaleString():'Not set'}`;
  })() : '';


  const sectors = {};
  leads.forEach(l=>{if(l.sector) sectors[l.sector]=(sectors[l.sector]||0)+1;});
  const sectorSummary = Object.entries(sectors).sort((a,b)=>b[1]-a[1]).slice(0,5)
    .map(([s,c])=>`${s}: ${c}`).join(', ');

  let ctx = `You are BrokerAI, an expert M&A acquisition broker assistant. You are embedded in a CRM dashboard.

PIPELINE OVERVIEW:
- Total leads: ${leads.length}
- Main Pipeline (New): ${counts.NEW}
- Follow-up: ${counts.FOLLOWUP}
- No Answer: ${counts.NOANSWER}
- Rejected: ${counts.ARCHIVED}
- Leads with contact info: ${leads.filter(l=>(l.email||l.phone)).length}
- Top sectors: ${sectorSummary}

ALL PIPELINE LEADS (full Airtable data):
${allLeadsData}

${focusedLeadData}`;

  if (aiContext) {
    ctx += `\n\nCURRENTLY FOCUSED COMPANY:
- Name: ${aiContext.company}
- Buyer Attractiveness: ${aiContext.buyerScore}/10 (${aiContext.buyerLabel})
- Exit Propensity: ${aiContext.exitScore}/10 (${aiContext.exitLabel})
- Financial Health: ${aiContext.finHealth}/10 | Debt/Liquidity: ${aiContext.debtLiq}/10
- Sector: ${aiContext.sector}
- Owner/Director: ${aiContext.owner}
- Email: ${aiContext.email||'N/A'}
- Phone: ${aiContext.phone||'N/A'}
- Turnover: ${aiContext.turnover}
- Location: ${aiContext.location}
- Net Assets: ${aiContext.assets}
- Employees: ${aiContext.employees}
- Broker Summary: ${aiContext.summary||'N/A'}
- CRM Notes: ${aiContext.notes||'None yet'}
- Deal Size Estimate: ${aiContext.deal_size ? '£'+aiContext.deal_size.toLocaleString() : 'Not set'}`;
  }

  ctx += `\n\nRespond concisely and professionally. Use bullet points when listing. Be direct and actionable. You are helping a business acquisition broker prioritise and close deals.`;
  return ctx;
}

async function sendAIMessage() {
  const input = document.getElementById('ai-input');
  const text = input.value.trim();
  if (!text) return;

  // Hide suggestions after first message
  document.getElementById('ai-suggestions').style.display = 'none';

  input.value = '';
  input.style.height = 'auto';
  document.getElementById('ai-send-btn').disabled = true;

  addAIMessage('user', text);
  aiChatHistory.push({ role: 'user', content: text });

  showTyping();

  try {
    const systemPrompt = buildPipelineContext();
    // Gemini 2.0 Flash
    const geminiMessages = aiChatHistory.map(m => ({
      role: m.role === 'assistant' ? 'model' : 'user',
      parts: [{ text: m.content }]
    }));

    // Try models in order until one works
    const MODELS_TO_TRY = [
      'gemini-2.5-flash-preview-05-20',
      'gemini-2.5-flash-preview-04-17',
      'gemini-2.5-flash',
      'gemini-2.5-pro',
      'gemini-1.5-flash',
      'gemini-1.5-pro',
    ];

    let reply = null;
    let lastError = null;

    for (const model of MODELS_TO_TRY) {
      try {
        const response = await fetch(
          `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=${GEMINI_KEY}`,
          {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({
              systemInstruction: { parts: [{ text: systemPrompt }] },
              contents: geminiMessages,
              generationConfig: { maxOutputTokens: 2048, temperature: 0.7 }
            })
          }
        );
        const data = await response.json();
        if (data.error) {
          // Model not available — try next
          lastError = data.error.message;
          console.warn(`Model ${model} failed: ${data.error.message}`);
          continue;
        }
        const text = data.candidates?.[0]?.content?.parts?.[0]?.text;
        if (text) {
          reply = text;
          // Update subtitle to show which model is active
          document.querySelector('.ai-chat-sub').textContent = `Powered by ${model} · Full Airtable access`;
          console.log(`Using model: ${model}`);
          break;
        }
      } catch(fetchErr) {
        lastError = fetchErr.message;
        console.warn(`Model ${model} fetch error:`, fetchErr);
      }
    }

    removeTyping();

    if (!reply) {
      addAIMessage('assistant', `Could not find an available Gemini model. Last error: ${lastError}`);
      document.getElementById('ai-send-btn').disabled = false;
      return;
    }
    aiChatHistory.push({ role: 'assistant', content: reply });
    // Keep history manageable
    if (aiChatHistory.length > 20) aiChatHistory = aiChatHistory.slice(-20);

    addAIMessage('assistant', reply);
  } catch(e) {
    removeTyping();
    addAIMessage('assistant', `Connection error: ${e.message}`);
  }

  document.getElementById('ai-send-btn').disabled = false;
  document.getElementById('ai-input').focus();
}



✅ Low Risk - https://icy-peach-jrm73e6vmj-cwdi9enw6j.edgeone.app/

Requests	IP Address	Location	AS Autonomous System
4	142.250.201.170	United States	AS15169
2	23.20.113.43	United States	AS14618
2	172.217.20.131	United States	AS15169Google LLC
2	43.152.26.58	Singapore	AS139341ACE
2	104.18.1.22	United States	AS13335Cloudflare, Inc.
12	5	-	-

Security Scan Report: icy-peach-jrm73e6vmj-cwdi9enw6j.edgeone.app

Summary

AI Security Verdict

Low Risk

Risk Factors

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History