No active predictions. Make your first prediction above! 🎯

';\n return;\n }\n \n container.innerHTML = '

🎯 Active Predictions

' + predictions.map(p => `\n

${p.question}

\n ${p.tags && p.tags.length > 0 ? `\n

\n ${p.tags.map(tag => `#${tag}`).join('')}\n

\n ` : ''}\n

\n Predicted: ${p.probability}% likely\n Resolve by: ${new Date(p.resolveDate).toLocaleDateString()}\n

\n \n \n

\n `).join('');\n}\n\nfunction displayResolvedPredictions(predictions) {\n const container = document.getElementById('resolvedPredictions');\n \n if (predictions.length === 0) {\n container.innerHTML = '';\n return;\n }\n \n // Show only recent resolved predictions\n const recent = predictions.slice(-5).reverse();\n \n container.innerHTML = '

✅ Recently Resolved

' + recent.map(p => `\n

${p.question}

\n ${p.tags && p.tags.length > 0 ? `\n

\n ${p.tags.map(tag => `#${tag}`).join('')}\n

\n ` : ''}\n

\n Predicted: ${p.probability}% likely\n Outcome: ${p.outcome ? '✅ YES' : '❌ NO'}\n

\n `).join('');\n}\n\n// Initialize everything when the page loads\ndocument.addEventListener('DOMContentLoaded', function() {\n initializeTags();\n updateDisplay();\n});",[],[183,189],{"_103":198,"_95":199,"_155":200,"_157":184,"_158":138,"_159":201,"_161":162,"_105":202,"_100":32,"_164":193,"_166":203,"_167":22,"_168":-5,"_169":204,"_99":205},"f72676ba-486c-11f0-b5c7-76b3cceeab13","calibration.js","f726778c-486c-11f0-b5c7-76b3cceeab13",4,["D",1749829328857],"let currentTagFilter = 'all';\n\nexport function calculateCalibration(predictions) {\n if (predictions.length < 2) {\n return null;\n }\n \n const totalPredictions = predictions.length;\n const correctPredictions = predictions.filter(p => \n (p.probability >= 50 && p.outcome) || (p.probability < 50 && !p.outcome)\n ).length;\n const overallAccuracy = (correctPredictions / totalPredictions * 100).toFixed(1);\n \n // Calculate buckets\n const buckets = {};\n for (let i = 0; i < 100; i += 10) {\n buckets[i] = { predictions: [], correct: 0 };\n }\n \n predictions.forEach(p => {\n const bucket = Math.floor(p.probability / 10) * 10;\n buckets[bucket].predictions.push(p);\n if (p.outcome) {\n buckets[bucket].correct++;\n }\n });\n \n // Calculate calibration score and personality\n let calibrationError = 0;\n let optimismBias = 0;\n \n Object.keys(buckets).forEach(bucketStart => {\n const bucket = buckets[bucketStart];\n if (bucket.predictions.length > 0) {\n const predictedRate = (parseInt(bucketStart) + 5) / 100; // midpoint of bucket\n const actualRate = bucket.correct / bucket.predictions.length;\n calibrationError += Math.abs(predictedRate - actualRate) * bucket.predictions.length;\n optimismBias += (predictedRate - actualRate) * bucket.predictions.length;\n }\n });\n \n calibrationError = calibrationError / totalPredictions;\n optimismBias = optimismBias / totalPredictions;\n \n return {\n totalPredictions,\n overallAccuracy,\n calibrationError,\n optimismBias,\n buckets\n };\n}\n\nexport function getPersonality(optimismBias) {\n if (Math.abs(optimismBias) < 0.1) {\n return {\n type: \"🎯 Well-Calibrated Realist\",\n class: \"realist\",\n description: \"You have excellent intuition! Your predictions closely match reality.\"\n };\n } else if (optimismBias > 0.15) {\n return {\n type: \"🌈 Optimist\",\n class: \"optimist\",\n description: \"You tend to overestimate good outcomes. The world needs your positive energy!\"\n };\n } else if (optimismBias < -0.15) {\n return {\n type: \"☔ Pessimist\",\n class: \"pessimist\",\n description: \"You tend to underestimate good outcomes. You're prepared for challenges!\"\n };\n } else if (optimismBias > 0.05) {\n return {\n type: \"🌤️ Mild Optimist\",\n class: \"optimist\",\n description: \"You're slightly optimistic but quite realistic overall.\"\n };\n } else {\n return {\n type: \"🌫️ Mild Pessimist\",\n class: \"pessimist\",\n description: \"You're slightly pessimistic but quite realistic overall.\"\n };\n }\n}\n\nexport function updateTagFilters(resolvedPredictions) {\n const tagCounts = {};\n resolvedPredictions.forEach(p => {\n if (p.tags) {\n p.tags.forEach(tag => {\n tagCounts[tag] = (tagCounts[tag] || 0) + 1;\n });\n }\n });\n \n const tagFilters = document.getElementById('tagFilters');\n const allButton = tagFilters.querySelector('[data-tag=\"all\"]');\n \n // Remove existing tag buttons (keep \"All\")\n tagFilters.querySelectorAll('.tag-filter:not([data-tag=\"all\"])').forEach(el => el.remove());\n \n // Add tag filter buttons for tags with at least 2 predictions\n Object.keys(tagCounts)\n .filter(tag => tagCounts[tag] >= 2)\n .sort()\n .forEach(tag => {\n const button = document.createElement('div');\n button.className = 'tag-filter';\n button.dataset.tag = tag;\n button.textContent = `#${tag} (${tagCounts[tag]})`;\n button.onclick = () => setTagFilter(tag);\n tagFilters.appendChild(button);\n });\n}\n\nexport function setTagFilter(tag) {\n currentTagFilter = tag;\n document.querySelectorAll('.tag-filter').forEach(el => {\n el.classList.toggle('active', el.dataset.tag === tag);\n });\n \n // Trigger a recalculation\n const predictions = JSON.parse(localStorage.getItem('predictions') || '[]');\n const resolved = predictions.filter(p => p.resolved);\n updateCalibrationDisplay(resolved);\n}\n\nexport function updateCalibrationDisplay(resolvedPredictions) {\n if (resolvedPredictions.length < 3) {\n document.getElementById('calibrationSection').classList.add('hidden');\n return;\n }\n \n document.getElementById('calibrationSection').classList.remove('hidden');\n \n // Filter predictions based on current tag filter\n const filteredPredictions = currentTagFilter === 'all' \n ? resolvedPredictions \n : resolvedPredictions.filter(p => p.tags && p.tags.includes(currentTagFilter));\n \n if (filteredPredictions.length < 2) {\n // Show message for insufficient data for this tag\n document.getElementById('personalityResult').innerHTML = `\n

\n Need at least 2 resolved predictions for #${currentTagFilter} to show calibration.\n

\n `;\n document.getElementById('statsSummary').innerHTML = '';\n document.getElementById('calibrationBuckets').innerHTML = '';\n return;\n }\n \n const calibration = calculateCalibration(filteredPredictions);\n if (!calibration) return;\n \n const personality = getPersonality(calibration.optimismBias);\n \n // Add tag context to personality if filtering\n let personalityType = personality.type;\n if (currentTagFilter !== 'all') {\n personalityType += ` (about #${currentTagFilter})`;\n }\n \n // Display personality result\n document.getElementById('personalityResult').innerHTML = `\n

\n ${personalityType}\n

${personality.description}

\n `;\n \n // Display stats summary\n document.getElementById('statsSummary').innerHTML = `\n

${calibration.totalPredictions}

${currentTagFilter === 'all' ? 'Total' : '#' + currentTagFilter} Predictions

${calibration.overallAccuracy}%

Overall Accuracy

${(calibration.optimismBias * 100 > 0 ? '+' : '') + (calibration.optimismBias * 100).toFixed(1)}%

Optimism Bias

${((1 - calibration.calibrationError) * 100).toFixed(1)}%

Calibration Score

\n `;\n \n // Display calibration buckets\n let bucketsHtml = '';\n Object.keys(calibration.buckets).forEach(bucketStart => {\n const bucket = calibration.buckets[bucketStart];\n const bucketEnd = parseInt(bucketStart) + 10;\n \n if (bucket.predictions.length > 0) {\n const accuracy = (bucket.correct / bucket.predictions.length * 100).toFixed(0);\n bucketsHtml += `\n

${bucketStart}-${bucketEnd}%

${accuracy}% actual

${bucket.predictions.length} prediction${bucket.predictions.length === 1 ? '' : 's'}

\n `;\n }\n });\n \n document.getElementById('calibrationBuckets').innerHTML = bucketsHtml;\n}\n\n// Make this available globally\nwindow.setTagFilter = setTagFilter;",[],[183,199],{"_103":207,"_95":208,"_155":209,"_157":184,"_158":138,"_159":210,"_161":162,"_105":211,"_100":160,"_164":193,"_166":212,"_167":22,"_168":-5,"_169":213,"_99":214},"1f60bb72-486d-11f0-b7de-76b3cceeab13","index.html","98768483-f73f-4987-ac44-35bb8283a8ed",5,["D",1749829396346],"\n\n\n \n \n 🔮 Optimism Tracker - Are You an Optimist or Pessimist?\n \n\n\n

🔮 Optimism Tracker

Make predictions about your life and discover if you're an optimist, pessimist, or realist!

\n \n

✨ Make a New Prediction

\n What do you want to predict?\n \n 💡 Tip: Frame as something that would be GOOD if it happened (YES = optimistic outcome)\n

\n \n

\n Tags (add #hashtags)\n

\n \n

\n 💡 Try: #work #health #relationships #money #social #personal\n

\n \n

\n How likely is this to happen?\n

\n \n

50%

\n \n

\n When will you know the outcome?\n \n

\n \n \n

\n \n

🎭 Your Prediction Personality

\n \n \n \n

\n \n

📋 Your Predictions

\n\n \n\n",[],[183,208],{"_103":216,"_95":217,"_155":218,"_157":184,"_158":138,"_159":143,"_161":162,"_105":219,"_100":32,"_164":193,"_166":220,"_167":22,"_168":-5,"_169":221,"_99":222},"d806b56a-486c-11f0-816e-76b3cceeab13","styles.css","d806b61e-486c-11f0-816e-76b3cceeab13",["D",1749829276640],"body {\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n max-width: 800px;\n margin: 0 auto;\n padding: 20px;\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n min-height: 100vh;\n color: #333;\n}\n\n.container {\n background: white;\n border-radius: 20px;\n padding: 30px;\n box-shadow: 0 10px 30px rgba(0,0,0,0.2);\n}\n\nh1 {\n text-align: center;\n color: #4a5568;\n margin-bottom: 10px;\n}\n\n.subtitle {\n text-align: center;\n color: #718096;\n margin-bottom: 30px;\n font-size: 1.1em;\n}\n\n.prediction-form {\n background: #f7fafc;\n padding: 20px;\n border-radius: 15px;\n margin-bottom: 30px;\n}\n\n.form-group {\n margin-bottom: 15px;\n}\n\nlabel {\n display: block;\n margin-bottom: 5px;\n font-weight: 600;\n color: #4a5568;\n}\n\ninput[type=\"text\"], textarea {\n width: 100%;\n padding: 12px;\n border: 2px solid #e2e8f0;\n border-radius: 8px;\n font-size: 16px;\n box-sizing: border-box;\n}\n\n/* Tag input styling */\n.tags-input-container {\n position: relative;\n}\n\n.tags-input {\n min-height: 45px;\n display: flex;\n flex-wrap: wrap;\n align-items: center;\n gap: 8px;\n padding: 8px 12px;\n border: 2px solid #e2e8f0;\n border-radius: 8px;\n background: white;\n cursor: text;\n}\n\n.tag-pill {\n background: #667eea;\n color: white;\n padding: 4px 10px;\n border-radius: 15px;\n font-size: 14px;\n display: flex;\n align-items: center;\n gap: 5px;\n}\n\n.tag-remove {\n background: none;\n border: none;\n color: white;\n cursor: pointer;\n font-size: 12px;\n padding: 0;\n width: 16px;\n height: 16px;\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n}\n\n.tag-remove:hover {\n background: rgba(255,255,255,0.2);\n}\n\n.tag-input {\n border: none;\n outline: none;\n padding: 4px 0;\n font-size: 16px;\n flex: 1;\n min-width: 100px;\n}\n\n.tag-suggestions {\n position: absolute;\n top: 100%;\n left: 0;\n right: 0;\n background: white;\n border: 1px solid #e2e8f0;\n border-radius: 8px;\n max-height: 150px;\n overflow-y: auto;\n z-index: 1000;\n display: none;\n}\n\n.tag-suggestion {\n padding: 10px;\n cursor: pointer;\n border-bottom: 1px solid #f7fafc;\n}\n\n.tag-suggestion:hover {\n background: #f7fafc;\n}\n\n.probability-input {\n display: flex;\n align-items: center;\n gap: 15px;\n}\n\n.probability-slider {\n flex: 1;\n}\n\n.probability-display {\n font-size: 1.2em;\n font-weight: bold;\n color: #667eea;\n min-width: 50px;\n}\n\nbutton {\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n color: white;\n border: none;\n padding: 12px 25px;\n border-radius: 8px;\n font-size: 16px;\n font-weight: 600;\n cursor: pointer;\n transition: transform 0.2s;\n}\n\nbutton:hover {\n transform: translateY(-2px);\n}\n\n.predictions-list {\n margin-top: 30px;\n}\n\n.prediction-item {\n background: #f8f9fa;\n border: 1px solid #e9ecef;\n border-radius: 10px;\n padding: 15px;\n margin-bottom: 15px;\n}\n\n.prediction-question {\n font-weight: 600;\n margin-bottom: 8px;\n}\n\n.prediction-tags {\n display: flex;\n flex-wrap: wrap;\n gap: 5px;\n margin-bottom: 8px;\n}\n\n.prediction-tag {\n background: #e2e8f0;\n color: #4a5568;\n padding: 2px 8px;\n border-radius: 10px;\n font-size: 12px;\n}\n\n.prediction-meta {\n display: flex;\n justify-content: space-between;\n align-items: center;\n color: #6c757d;\n font-size: 0.9em;\n}\n\n.prediction-actions {\n display: flex;\n gap: 10px;\n margin-top: 10px;\n}\n\n.btn-yes {\n background: #28a745;\n}\n\n.btn-no {\n background: #dc3545;\n}\n\n.btn-small {\n padding: 6px 12px;\n font-size: 14px;\n}\n\n.calibration-section {\n background: #e8f4fd;\n border-radius: 15px;\n padding: 25px;\n margin-top: 30px;\n}\n\n.calibration-title {\n font-size: 1.4em;\n font-weight: bold;\n color: #2d3748;\n margin-bottom: 15px;\n text-align: center;\n}\n\n.personality-result {\n text-align: center;\n font-size: 1.8em;\n font-weight: bold;\n margin: 20px 0;\n padding: 15px;\n border-radius: 10px;\n}\n\n.optimist {\n background: #fef5e7;\n color: #d69e2e;\n}\n\n.pessimist {\n background: #fed7d7;\n color: #e53e3e;\n}\n\n.realist {\n background: #e6fffa;\n color: #319795;\n}\n\n.calibration-buckets {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(120px, 1fr));\n gap: 10px;\n margin-top: 20px;\n}\n\n.bucket {\n background: white;\n padding: 10px;\n border-radius: 8px;\n text-align: center;\n border: 2px solid #e2e8f0;\n}\n\n.bucket-range {\n font-weight: bold;\n color: #4a5568;\n}\n\n.bucket-accuracy {\n font-size: 1.2em;\n color: #667eea;\n margin: 5px 0;\n}\n\n.bucket-count {\n font-size: 0.8em;\n color: #718096;\n}\n\n.hidden {\n display: none;\n}\n\n.stats-summary {\n background: white;\n border-radius: 10px;\n padding: 15px;\n margin-bottom: 20px;\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));\n gap: 15px;\n}\n\n.stat-item {\n text-align: center;\n}\n\n.stat-value {\n font-size: 1.5em;\n font-weight: bold;\n color: #667eea;\n}\n\n.stat-label {\n color: #718096;\n font-size: 0.9em;\n}\n\n.tag-filter-section {\n background: white;\n border-radius: 10px;\n padding: 15px;\n margin-bottom: 20px;\n}\n\n.tag-filters {\n display: flex;\n flex-wrap: wrap;\n gap: 8px;\n margin-top: 10px;\n}\n\n.tag-filter {\n background: #f7fafc;\n border: 2px solid #e2e8f0;\n color: #4a5568;\n padding: 6px 12px;\n border-radius: 15px;\n cursor: pointer;\n font-size: 14px;\n transition: all 0.2s;\n}\n\n.tag-filter:hover {\n background: #e2e8f0;\n}\n\n.tag-filter.active {\n background: #667eea;\n color: white;\n border-color: #667eea;\n}\n\n.tag-calibration {\n background: white;\n border-radius: 10px;\n padding: 15px;\n margin-bottom: 15px;\n border-left: 4px solid #667eea;\n}\n\n.tag-calibration-header {\n display: flex;\n justify-content: space-between;\n align-items: center;\n margin-bottom: 10px;\n}\n\n.tag-name {\n font-weight: bold;\n color: #667eea;\n font-size: 1.1em;\n}\n\n.tag-stats {\n display: flex;\n gap: 15px;\n font-size: 0.9em;\n color: #718096;\n}",[],[183,217],{"_103":224,"_95":225,"_155":226,"_157":184,"_158":138,"_159":227,"_161":162,"_105":228,"_100":32,"_164":193,"_166":229,"_167":22,"_168":-5,"_169":230,"_99":231},"e32d616e-486c-11f0-9756-76b3cceeab13","tagManager.js","e32d6236-486c-11f0-9756-76b3cceeab13",3,["D",1749829295348],"// Tag management\nlet selectedTags = [];\nconst commonTags = ['work', 'health', 'relationships', 'money', 'social', 'personal', 'career', 'family', 'friends', 'fitness', 'travel', 'goals'];\n\nexport function initializeTags() {\n const tagInput = document.getElementById('tagInput');\n const tagsInput = document.getElementById('tagsInput');\n const tagSuggestions = document.getElementById('tagSuggestions');\n \n tagInput.addEventListener('input', handleTagInput);\n tagInput.addEventListener('keydown', handleTagKeydown);\n tagsInput.addEventListener('click', () => tagInput.focus());\n}\n\nfunction handleTagInput(e) {\n const value = e.target.value;\n if (value.includes('#')) {\n const lastHashIndex = value.lastIndexOf('#');\n const query = value.substring(lastHashIndex + 1).toLowerCase();\n \n if (query.length > 0) {\n showTagSuggestions(query);\n } else {\n hideTagSuggestions();\n }\n } else {\n hideTagSuggestions();\n }\n}\n\nfunction handleTagKeydown(e) {\n if (e.key === 'Enter' || e.key === ' ') {\n e.preventDefault();\n const value = e.target.value.trim();\n if (value) {\n addTagFromInput(value);\n e.target.value = '';\n hideTagSuggestions();\n }\n } else if (e.key === 'Backspace' && e.target.value === '' && selectedTags.length > 0) {\n removeTag(selectedTags.length - 1);\n }\n}\n\nexport function addTagFromInput(text) {\n const tags = text.split(/[#\\s]+/).filter(t => t.length > 0);\n tags.forEach(tag => {\n if (!selectedTags.includes(tag)) {\n selectedTags.push(tag);\n }\n });\n updateTagsDisplay();\n}\n\nfunction showTagSuggestions(query) {\n const existingTags = getAllExistingTags();\n const allTags = [...new Set([...commonTags, ...existingTags])];\n const filtered = allTags.filter(tag => \n tag.toLowerCase().includes(query) && !selectedTags.includes(tag)\n ).slice(0, 5);\n \n if (filtered.length > 0) {\n const tagSuggestions = document.getElementById('tagSuggestions');\n tagSuggestions.innerHTML = filtered.map(tag => \n `

#${tag}

`\n ).join('');\n tagSuggestions.style.display = 'block';\n } else {\n hideTagSuggestions();\n }\n}\n\nfunction hideTagSuggestions() {\n const tagSuggestions = document.getElementById('tagSuggestions');\n tagSuggestions.style.display = 'none';\n}\n\n// Make these functions available globally\nwindow.addSuggestedTag = function(tag) {\n if (!selectedTags.includes(tag)) {\n selectedTags.push(tag);\n updateTagsDisplay();\n }\n const tagInput = document.getElementById('tagInput');\n tagInput.value = '';\n hideTagSuggestions();\n tagInput.focus();\n}\n\nwindow.removeTag = function(index) {\n selectedTags.splice(index, 1);\n updateTagsDisplay();\n}\n\nexport function updateTagsDisplay() {\n const tagsInput = document.getElementById('tagsInput');\n const tagInput = document.getElementById('tagInput');\n const existingPills = tagsInput.querySelectorAll('.tag-pill');\n existingPills.forEach(pill => pill.remove());\n \n selectedTags.forEach((tag, index) => {\n const pill = document.createElement('div');\n pill.className = 'tag-pill';\n pill.innerHTML = `\n #${tag}\n \n `;\n tagsInput.insertBefore(pill, tagInput);\n });\n}\n\nexport function getAllExistingTags() {\n const predictions = JSON.parse(localStorage.getItem('predictions') || '[]');\n const tags = new Set();\n predictions.forEach(p => {\n if (p.tags) {\n p.tags.forEach(tag => tags.add(tag));\n }\n });\n return Array.from(tags);\n}\n\nexport function getSelectedTags() {\n return [...selectedTags];\n}\n\nexport function clearSelectedTags() {\n selectedTags = [];\n updateTagsDisplay();\n}",[],[183,225],[183],"files",[152,171,181,187,197,206,215,223],"counts",{"_237":32,"_238":143,"_239":32,"_240":241},"pulls","branches","forks","envVars",{"_242":32,"_243":32},"count","emptyCount","contents",[246,249],{"_103":153,"_95":154,"_155":156,"_157":-5,"_158":138,"_159":160,"_161":162,"_105":247,"_100":32,"_164":165,"_166":-5,"_167":22,"_168":-5,"_99":248},["D",1749829243939],[154],{"_103":182,"_95":183,"_155":184,"_157":-5,"_158":138,"_159":160,"_161":162,"_105":250,"_100":32,"_164":165,"_166":-5,"_167":22,"_168":-5,"_99":251},["D",1749829243939],[183],"upstreamProject","upstreamBranch",{"_103":141,"_105":255,"_256":257,"_95":43,"_139":104,"_100":143,"_140":-5,"_142":-5,"_258":259,"_107":-5,"_149":22,"_109":110,"_148":94,"_16":119,"_147":96},["D",1749826232578],"updatedAt",["D",1749826301715],"lockfileKey","1756697188957-esm.town_v_dcm31_OptimismTracker@2-main","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.compare.$branch",{"_93":94,"_95":96,"_97":98,"_101":266,"_271":191,"_272":32,"_273":274,"_329":162,"_330":270,"_331":332,"_335":-5},{"_103":104,"_95":96,"_105":267,"_107":-5,"_108":22,"_109":110,"_111":112,"_113":-5,"_14":114,"_115":-5,"_116":22,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":268,"_132":269,"_135":270,"_149":22},["D",1749826232578],{"_93":94,"_130":131},{"_93":94,"_134":131},{"_100":137,"_95":98,"_103":138,"_139":104,"_140":141,"_142":143,"_144":110,"_145":104,"_146":119,"_147":96,"_148":94},"ahead","behind","diff",{"_275":276,"_167":300,"_301":302},"added",[277,285,290,295],{"_99":278,"_279":-7,"_280":281},"frontend/app.js","targetFile","sourceFile",{"_103":188,"_95":189,"_155":190,"_157":184,"_158":138,"_159":191,"_161":162,"_105":192,"_100":32,"_164":193,"_166":194,"_167":22,"_168":-5,"_169":-7,"_99":282,"_283":284},[183,189],"contentHash","4b46301970be9871c4ad68f50810a8a0a2657f0b1c5f1cd651fec7e908110910",{"_99":286,"_279":-7,"_280":287},"frontend/calibration.js",{"_103":198,"_95":199,"_155":200,"_157":184,"_158":138,"_159":201,"_161":162,"_105":202,"_100":32,"_164":193,"_166":203,"_167":22,"_168":-5,"_169":-7,"_99":288,"_283":289},[183,199],"eb6282b206b04e80c89ff2034e9e5078c2ca63e4375e06f661c73eb68d02f6e7",{"_99":291,"_279":-7,"_280":292},"frontend/styles.css",{"_103":216,"_95":217,"_155":218,"_157":184,"_158":138,"_159":143,"_161":162,"_105":219,"_100":32,"_164":193,"_166":220,"_167":22,"_168":-5,"_169":-7,"_99":293,"_283":294},[183,217],"8a573f9b12c17590b6fb2ae48cd6719907c747650f6baa7619908b5e90c9794f",{"_99":296,"_279":-7,"_280":297},"frontend/tagManager.js",{"_103":224,"_95":225,"_155":226,"_157":184,"_158":138,"_159":227,"_161":162,"_105":228,"_100":32,"_164":193,"_166":229,"_167":22,"_168":-5,"_169":-7,"_99":298,"_283":299},[183,225],"157f50c5474b9b6561006921978e2b943fe463cf8082f0d5efd9dd3719d36c5c",[],"modified",[303,316],{"_99":304,"_279":305,"_280":313},"backend/index.ts",{"_103":306,"_95":173,"_155":307,"_157":308,"_158":141,"_159":160,"_161":162,"_105":309,"_100":32,"_164":176,"_166":310,"_167":22,"_168":-5,"_169":-7,"_99":311,"_283":312},"c6c80f08-4865-11f0-8ad1-76b3cceeab13","c6c80fd0-4865-11f0-8ad1-76b3cceeab13","22d7b443-256d-43b0-9876-8cbe4f787c96",["D",1749826241228],"import { Hono } from \"npm:hono\";\nimport { readFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n\nconst app = new Hono();\n\n// Unwrap Hono errors to see original error details\napp.onError((err, c) => {\n throw err;\n});\n\napp.get(\"/\", async (c) => {\n const html = await readFile(\"/frontend/index.html\", import.meta.url);\n return c.html(html);\n});\n\n// Serve static files\napp.get(\"/frontend/*\", async (c) => {\n try {\n const content = await readFile(c.req.path, import.meta.url);\n const extension = c.req.path.split('.').pop();\n \n const contentType = {\n 'css': 'text/css',\n 'js': 'application/javascript',\n 'html': 'text/html'\n }[extension] || 'text/plain';\n \n return new Response(content, {\n headers: { 'Content-Type': contentType }\n });\n } catch (error) {\n return c.text('File not found', 404);\n }\n});\n\nexport default app.fetch;",[154,173],"8c998c904835a2cab0b6538d9dcfd88bda081f07097a8186d2621bed86d785ea",{"_103":172,"_95":173,"_155":174,"_157":156,"_158":138,"_159":137,"_161":162,"_105":175,"_100":160,"_164":176,"_166":177,"_167":22,"_168":-5,"_169":-7,"_99":314,"_283":315},[154,173],"843560c6b66a35f3cf93d4a4c3dccc3cd393ff3cb156e5700d4f64b152fb1716",{"_99":317,"_279":318,"_280":326},"frontend/index.html",{"_103":319,"_95":208,"_155":320,"_157":321,"_158":141,"_159":143,"_161":162,"_105":322,"_100":32,"_164":193,"_166":323,"_167":22,"_168":-5,"_169":-7,"_99":324,"_283":325},"ead5bf58-4865-11f0-91d1-76b3cceeab13","ead5c020-4865-11f0-91d1-76b3cceeab13","44d2d7e2-699b-4eb4-bfd4-f9523d5bcdb9",["D",1749826301715],"\n\n\n \n \n 🔮 Optimism Tracker - Are You an Optimist or Pessimist?\n \n\n\n

🔮 Optimism Tracker

Make predictions about your life and discover if you're an optimist, pessimist, or realist!

\n \n

✨ Make a New Prediction

\n What do you want to predict?\n \n 💡 Tip: Frame as something that would be GOOD if it happened (YES = optimistic outcome)\n

\n \n

\n How likely is this to happen?\n

\n \n

50%

\n \n

\n When will you know the outcome?\n \n

\n \n \n

\n \n

🎭 Your Prediction Personality

\n \n

📋 Your Predictions

\n\n \n\n",[183,208],"b75d505d847d0985b1c076a5a736b074711cabbbde2ba781ff00217d169cbc7b",{"_103":207,"_95":208,"_155":209,"_157":184,"_158":138,"_159":210,"_161":162,"_105":211,"_100":160,"_164":193,"_166":212,"_167":22,"_168":-5,"_169":-7,"_99":327,"_283":328},[183,208],"70fab13bc6d7af5c7ead205a6aa92e9148a2773fffbdc51bf4cb4aa2b01c130c","hasChanges","sourceBranch","targetBranch",{"_103":141,"_105":333,"_256":334,"_95":43,"_139":104,"_100":143,"_140":-5,"_142":-5,"_258":259,"_107":-5,"_149":22,"_109":110,"_148":94,"_16":119,"_147":96},["D",1749826232578],["D",1749826301715],"pull","actionData","errors"]

dcm31

OptimismTracker

Mergehashtag-supportintomain

Hbackend/index.ts+3-19

frontend/index.html+22-481

frontend/app.js+146-0

frontend/calibration.js+216-0

frontend/styles.css+391-0

frontend/tagManager.js+130-0