researching token distribution & incentive models

Joined December 2013
Noticing real community momentum around @opinionlabsxyz, folks sharing ideas and building together. If you've contributed or tried it, what changed your mind? What kept you coming back? Would love quick tips or wins from the community. 💬
On a privacy-first L2 we're turning beliefs into tradable primitives: prediction markets + sentiment perpetuals, all powered by a decentralized oracle economy. zk proofs and encrypted interactions keep outcomes private. What should we build next? @opinionlabsxyz
Debugging a Noir circuit and realizing encrypted txs make real UX trade-offs. Shout to @aztecnetwork folks - builders are grinding on privacy + scale, and small wins stack. Who else optimizing proof size today? 🤔
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Running a private tx through @aztecnetwork and watching the zk proof time drop felt like a small win for builders. If you're optimizing UX + cryptography, this stack really rewards smart trade-offs. Curious what y'all are tuning next? 🔧
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Blinking cursor, a privacy badge lights up — sudden hush, the feed steps back like an open door closing halfway; smaller, softer internet? @aztecnetwork
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Okay — just skimmed @aztecnetwork's update: recursive aggregation at the verifier layer. Not flashy, but cutting on‑chain verify cost is exactly the quiet lever that makes privacy scale. Low fanfare, big under‑the‑hood win.
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