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@BLVCKIVX
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MAXIMALIST @storkoracle π§Ά Oracle of all Oracles
06h 45m 08s -16Β° 43β² 00β³
Joined April 2016
Storkie and I just pulled up in style, community, speed, and vibes all the way. Storkie behind the wheel, neon lights flashing, data highways are no match for the speed of @StorkOracle. The racecar through a neon city isnβt just an animation. Itβs the symbol of carrying critical
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The Stork ecosystem is expanding fast. Hereβs the latest snapshot of everyone building with Stork π
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Most aggregators resolve differences with heuristics: majority vote, median, trimming outliers. @StorkOracle's model is timestamp-first. Nanosecond-level ordering means the feed always knows exactly which observation was real-time and which wasnβt. Determinism beats heuristics.
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Most oracles write dozens of unnecessary updates on-chain every hour. It bloats state, raises gas costs, and slows down nodes. @StorkOracle avoids this entirely with request-time anchoring. Only meaningful updates land on-chain, the ones tied to real user transactions. Clean
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The Flock will be tuning in! Will you, anon? π Gmork π©΅
Discover @StorkOracle: High-Performance Oracle Infrastructure πΉ See Meredith Pitkoff from Stork on redefining real-time on-chain data for DeFi, RWAs & AI. πΈ Stork secures $2T+ in value, pushes data every 500ms, & supports 70+ chains. π
Dec 4 | 5:00 PM UTC Set reminders:
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Most aggregators resolve differences with heuristics: majority vote, median, trimming outliers. @StorkOracle's model is timestamp-first. Nanosecond-level ordering means the feed always knows exactly which observation was real-time and which wasnβt. Determinism beats heuristics.
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Speed is easy if you drop verification. Verification is easy if you drop speed. @StorkOracle does both: publishers stream continuously β aggregator checks signatures + timestamps β dApps verify proofs on-chain. No shortcuts. No βtrust usβ moments. Just real-time data with
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These chains are built for throughput. But an app is only as fast as its slowest dependency. On high-speed chains, an oracle that updates every 15β30 seconds is a bottleneck. @StorkOracle's streams + instant anchoring align with the execution speed of modern L1/L2 systems. Fast
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Most oracles wait hours to integrate new assets. They depend on governance votes, off-chain coordination, or rigid listing processes. @StorkOracle publishers can list newly launched tokens within minutes because the architecture doesnβt require feed-by-feed onboarding. Agility
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Oracles used to be about showing prices on a UI. Now they power liquidation engines, risk models, perp funding, and dynamic AMMs. This is market microstructure territory, where timing, ordering, and proofing matter more than the value itself. @StorkOracle's entire system is
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Cross-chain AMMs, perps, and lending protocols all struggle with data consistency. @StorkOracle solves this with: π΅οΈ a single global data layer π΅οΈ deterministic aggregation π΅οΈ uniform publisher proofs π΅οΈ shared timestamps across chains One data model β many networks. Thatβs
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$631B in 30-day perp DEX volume. Another record month. And the same constant remains, @StorkOracle is the oracle powering perps. People quote numbers like this without understanding the implication. Perpetuals are the harshest environment for an oracle: fast markets, thin
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Discover @StorkOracle: High-Performance Oracle Infrastructure πΉ See Meredith Pitkoff from Stork on redefining real-time on-chain data for DeFi, RWAs & AI. πΈ Stork secures $2T+ in value, pushes data every 500ms, & supports 70+ chains. π
Dec 4 | 5:00 PM UTC Set reminders:
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$631B in 30-day perp dex volume. Another record month. Stork is the oracle for perps.
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The @StorkOracle Publisher Agent automatically recovers from stale or faulty publishers. No manual intervention, no downtime. It reroutes, reinitializes, and re-syncs without breaking the live stream. This is the reliability layer people overlook when comparing oracles by
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KNOW YOUR STORK β First Party Data, On-Chain For years, most data providers avoided going on-chain, not because they lacked valuable data, but because the infrastructure burden was too high. To publish anything on-chain, you basically had to rebuild half your system: signing
Today, weβre unveiling Stork First Party: a new way for data providers and applications to publish their data directly on-chain, without rebuilding their entire stack to get there. Stork handles the infrastructure. You focus on the data.
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Today, weβre unveiling Stork First Party: a new way for data providers and applications to publish their data directly on-chain, without rebuilding their entire stack to get there. Stork handles the infrastructure. You focus on the data.
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Phase One of the Stork Verifier Network may be closed... but Phase Two is underwayπ It's still early. Join now & maximize your experience in the Stork Network Discord while you still can π https://t.co/2YlGaRWTPw
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Another @StorkOracle community BANGER π₯ new groove on the TL.
Finally did it. Created a @StorkOracle song, and I am dedicating it to the Stork Community. Y'all are amazing. I hope this teaches, makes us laugh, dance, and enjoy the month. Thank you @jayronimooooo for the support. Please RT/Bookmark if you love it.
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Finally did it. Created a @StorkOracle song, and I am dedicating it to the Stork Community. Y'all are amazing. I hope this teaches, makes us laugh, dance, and enjoy the month. Thank you @jayronimooooo for the support. Please RT/Bookmark if you love it.
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our very first proof of the concept for the pvac hfhe, questions are welcome https://t.co/Ceji2iwsuK
github.com
pvac-hfhe: PoC for publicly verifiable arithmetic computations with hypergraph based homomorphic encryption over Fp (p = 2^127 - 1), omissions for large numbers and excluded the transfer mechanism ...
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