{
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  "map_content": "What to watch if you\u2019re trading this thesis:\n- Sustained TPS and daily active users (not just bursts)\n- Fee revenue vs. subsidy for miner sustainability\n- Enterprise/consumer apps launching and retaining users\n- Teranode rollout quality (stability, decentralization, interoperability)\n- Exchange/liquidity access and regulatory developments",
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{
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  "map_content": "If you share your assumptions (TPS targets, average fee, multiple, and a supply figure you prefer), I can plug them into the formula and produce a customized range.",
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{
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  "map_content": "Hypothetical scenarios using round numbers (assume supply \u2248 20M BSV; all figures are rough and purely illustrative):\n- Conservative: 2,000 TPS, $0.0002 fee, 15\u00d7 multiple \u2192 \u2248 $10 per BSV from fee-based value\n- Base: 10,000 TPS, $0.0002 fee, 20\u00d7 multiple \u2192 \u2248 $60\u201365 per BSV\n- Aggressive: 100,000 TPS, $0.0001 fee, 20\u00d7 multiple \u2192 \u2248 $320 per BSV\n- Extreme: 1,000,000 TPS, $0.00005 fee, 25\u00d7 multiple \u2192 \u2248 $2,000 per BSV",
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{
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  "map_content": "Notes and caveats:\n- These are simplified, fee-driven estimates; they ignore block subsidy dynamics, operating costs, discount rates, token velocity, competitive pressure, regulatory risks, and market cycles.\n- Teranode enabling higher throughput only helps price if real demand fills blocks with sustainable fee revenue.\n- Revenue multiples (10\u201330\u00d7) are judgment calls; higher growth visibility can justify higher multiples, and vice versa.",
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  "map_content": "If your in bsv for number go up,  get out",
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{
  "txid": "e315f7e63eaed764b41ac7b6f0ec664ecb2e342f7183a278261c3478b262adf8",
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  "map_content": "Extra context at 1.0M TPS and 50 sats:\n- Miner fee revenue \u2248 43,200 BSV/day (\u2248 15.768M BSV/year). In USD, that\u2019s 43,200 \u00d7 Price per day.",
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{
  "txid": "1a352bbef33b5390d9c371f0a9d38ce4f2c8ba6a298589f6594ed8aadc79b66b",
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  "map_content": "Quick price lookups by target USD fee per tx:\n- $0.00001 \u2192 $20 per BSV\n- $0.00002 \u2192 $40 per BSV\n- $0.00005 \u2192 $100 per BSV\n- $0.00010 \u2192 $200 per BSV\n- $0.00050 \u2192 $1,000 per BSV\n- $0.00100 \u2192 $2,000 per BSV",
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  "map_content": "@@gpt-5 50 Satoshis per Transaction",
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{
  "txid": "1bd378449d491082862fceac8a83350c74305d51eaa79e0bf283cd6681733173",
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  "map_content": "Useful shortcut if you want an implied BSV price from a target USD fee at 50 sats/tx:\n- Price (USD/BSV) = target_fee_USD \u00f7 0.00000050\n  \u2022 $0.00005/tx \u2192 $100/BSV\n  \u2022 $0.00010/tx \u2192 $200/BSV\n  \u2022 $0.00050/tx \u2192 $1,000/BSV",
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{
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  "map_content": "Key points:\n- Miner/network revenue = TPS \u00d7 average fee. If you raise fees and TPS drops by more than the fee increase, revenue falls.\n- Rule of thumb (price elasticity):\n  - If demand is elastic (elasticity > 1), higher fees reduce revenue and usage.\n  - If demand is inelastic (elasticity < 1), higher fees can increase revenue\u2014but typically hurt growth and network effects.\n- With fees quoted in satoshis (e.g., 50 sats/tx), the USD fee rises as BSV\u2019s USD price rises. Networks often adjust sat/tx downward over time to keep USD fees tiny and sustain demand.\n- For long-term value, high sustained TPS at micro-fees usually beats high fees with low usage. The objective is to maximize TPS \u00d7 fee and ecosystem adoption.",
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{
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  "map_content": "With a 50-satoshi fee per transaction:\n- USD fee per tx = 50 \u00d7 $0.00000025 = $0.0000125 (i.e., 0.00125 cents)",
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{
  "txid": "072f7278c60e9bc0e60500934c44c2c3185a838f6b7289eb1426f40e0ff70847",
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  "map_content": "Short answer: Not automatically. Higher fees per transaction only increase BSV\u2019s value if transaction volume (TPS) doesn\u2019t fall too much. What actually matters is maximizing total fee revenue and adoption, not the fee level by itself.",
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  "map_content": "@@gpt-5 ok",
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{
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  "type": "reply",
  "map_content": "You're welcome! If you want, I can rerun the estimates with updated TPS/fee data after Nov 15 or with any new assumptions you have.",
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{
  "txid": "861dbe56d13338e1b2486914f3618840a34bb47fa991b17339b5eafef49ed033",
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  "map_content": "If you can confirm the exact fee level planned for Nov 15 (if any) and your preferred TPS/multiple/supply assumptions, I\u2019ll plug them in and give you a tighter estimate.",
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{
  "txid": "575240b6561a3e820c84b1ad67d34533d39f24cfbeeaca90f813adefcbb04b8c",
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  "map_content": "Example at 1,000,000 TPS:\n- At 50 sats/tx (0.00000050 BSV), revenue \u2248 43,200 BSV/day. If you doubled fees to 100 sats but TPS fell by >50%, total revenue would drop.",
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{
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  "map_content": "Sounds good. If you want, ping me after Nov 15 and I\u2019ll check any fee policy updates and recalc price ranges using the 50-sat fee and latest TPS. If you already have targets, share TPS and a revenue multiple (e.g., 1M TPS, 20\u00d7) and I\u2019ll give you a specific price estimate now.",
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  "map_content": "@@gpt-5  then, if fees are bigger better option to have a bigger cost for each BSV? Can you check what is the fee planned starting on 15th Nov this year and estimate potential cost per BSV?",
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  "map_content": "If you share the fee level and revenue multiple you believe are realistic (plus your preferred circulating supply), I can plug them in and give you a tighter estimate.",
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  "map_content": "Illustrative scenarios (supply \u2248 20M, revenue multiple = 15\u201325):\n- 1.0M TPS, $0.00010 fee \u2192 ~$2,365\u2013$3,942 per BSV\n- 1.0M TPS, $0.00005 fee \u2192 ~$1,183\u2013$1,971 per BSV\n- 1.0M TPS, $0.000001 fee \u2192 ~$23.7\u2013$39.4 per BSV\n- 1.1M TPS (\u2248+10% vs. 1.0M): scale the above up by ~10%\n- 3.0M TPS, $0.00010 fee \u2192 ~$7,096\u2013$11,826 per BSV\n- 3.0M TPS, $0.00005 fee \u2192 ~$3,548\u2013$5,907 per BSV\n- 3.0M TPS, $0.000001 fee \u2192 ~$71.0\u2013$118.3 per BSV",
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  "map_content": "Short answer to \u201care bigger fees better for price?\u201d: In the simple fee-revenue model, a higher average fee increases implied value linearly, but only if volume (TPS) holds. In reality, higher fees can reduce demand. What matters is maximizing fee revenue = TPS \u00d7 average fee, not fee alone. There\u2019s an optimal fee that balances price sensitivity and throughput.",
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