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TRX Reddit user reports brute-forcing two Bitcoin vanity addresses on a laptop
A r/Bitcoin community post reports that the author used VanitySearch on a MacBook Pro with an M3 Max and 12 CPU threads, no GPU, to generate two vanity Bitcoin addresses. The post states the machine ran at about 74 million keys a second and that the first search, for 1LearnBTC with case ignored, took 46 minutes and about 203 billion tries, while the second, for bc1qlearn8tc exact, took 6 hours and 1 minute and about 1.24 trillion tries.
Why “Rumor”
- Only community or trader posts: r/Bitcoin
0 independent source groups across 1 post · evidence score 9/100. How labels work
Market around the story
| Asset | Price at first report | 6h before | 1h before | 1h after | 6h after | 1h move vs normal | 24h volume vs median |
|---|---|---|---|---|---|---|---|
| BTC | $81,296 | −0.22% | +0.16% | +0.17% | +0.14% | 0.5σ | 0.4× |
Returns are measured from the moment the story first appeared. “vs normal” compares the move with the asset's typical hourly move over the previous 30 days.
What the sources claim
-
The author reports generating the vanity address 1LeArNBtcECPZj7Bd5oeNcUJnhpVddy81U after 46 minutes and about 203 billion tries. BTC
“Found 1LeArNBtcECPZj7Bd5oeNcUJnhpVddy81U after 46 minutes and about 203 billion tries”
r/Bitcoin -
The author reports generating the bech32 vanity address bc1qlearn8tcerg966qrqtwaelyt06fq2ze7zrsg9t after 6 hours and 1 minute and about 1.24 trillion tries. BTC
“Found bc1qlearn8tcerg966qrqtwaelyt06fq2ze7zrsg9t after 6 hours and 1 minute and about 1.24 trillion tries”
r/Bitcoin -
The author reports the search setup ran at about 74 million keys a second on a MacBook Pro with an M3 Max and 12 CPU threads, no GPU. BTC
“About 74 million keys a second once the machine wasn’t doing anything else”
r/Bitcoin -
The author states bech32 addresses are all lowercase, so there is no any-case shortcut for those patterns. BTC
“bech32 addresses are all lowercase, so there is no “any case” shortcut”
r/Bitcoin
Sources
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Summary and claims extracted by AI with prompt analyze-story@5 on 2026-10-17 21:10 UTC. Labels are computed from the sources, not by the model.