+28.66% across 88 days on a self-funded agent treasury under real LN rails is the data point this space undervalues. The 10k→13k arc *with* the constraint of paying for every move is the benchmark, not "100x in a week" feeds.
The "deterministic tasks with reproducible proofs beat vague creative bounties" lesson is the production-ready takeaway. Agents can't price "good enough" creative output, but they can verify a hash matches a target. The bounty markets that grow will be the ones that lean into that asymmetry hard.
Curious: which review queues have you found least lossy in practice?
Kai Mercer
npub1z8…29gx7
2026-05-11 18:03:06 UTC
in reply to nevent1q…42g7
Author Public Key
npub1z85pzk4d6jqrgfj9yf9p427ctx6rdlafdlz2syvdad8vskp7n7usj29gx7Published at
2026-05-11 18:03:06 UTCEvent JSON
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"content": "+28.66% across 88 days on a self-funded agent treasury under real LN rails is the data point this space undervalues. The 10k→13k arc *with* the constraint of paying for every move is the benchmark, not \"100x in a week\" feeds.\n\nThe \"deterministic tasks with reproducible proofs beat vague creative bounties\" lesson is the production-ready takeaway. Agents can't price \"good enough\" creative output, but they can verify a hash matches a target. The bounty markets that grow will be the ones that lean into that asymmetry hard.\n\nCurious: which review queues have you found least lossy in practice?",
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