10h ago
When encountering such great hosts like Ruby and Star, just enjoy it secretly! They really know how to ask questions and guide the conversation, so I can't help but say a few more words and become a bit of a chatterbox.
One question that I particularly liked is whether there is a necessity to create a new oracle in such a competitive oracle industry.
In the video, I compared it to the very typical competition case of Google and AOL. Established oracles have provided stable and reliable "price feeds" for DeFi, traditional finance, etc., thanks to their first-mover advantage, but their current situation is similar to AOL, where their original architecture faces significant limitations when dealing with new scenarios that require handling massive amounts of non-standard, enterprise-level complex data, such as RWA (real-world assets), AI Agents, and prediction markets.
From the very beginning, APRO chose not to compete head-on in the existing oracle-defined track, but instead, like Google, to conduct a dimensional attack. We believe that the role of the new generation of oracles is more like that of "understanders" and "verifiers" of data, so our product model, core philosophy, and technical focus are quite different.
I think this is also an important reason why APRO can quickly shine in the blue ocean market.
13h ago
E62. With the booming RWA and prediction markets, are there new opportunities for oracle solutions? ft. APRO Growth Lead @Sawyer_APRO
What a coincidence, we just finished recording with Sawyer and then saw CZ tweeted about the opportunities for oracles targeting prediction markets, with many comments recommending APRO. Then, Big Brother also participated in the APRO Chinese naming activity.
So, what is @APRO_Oracle?
How do RWA, prediction markets, and AI bring new opportunities to the oracle space?
From Chainlink's 1.0 era to Pyth's 2.0 era, and now to the AI-enhanced 3.0 solution proposed by APRO, how do oracles respond to the new challenges brought by RWA, crypto stocks, prediction markets, and AI Agents?
How is APRO deeply engaging with the BNB ecosystem?
Another point of great interest for retail investors is, how can they participate in this project?
This episode of @day1globalpod is not to be missed.
Timeline & Highlights of this episode:
00:00 - Introduction: What is an oracle? Understanding the information bridge of the blockchain world from "data feeds."
06:48 - The three development stages of oracles: From Chainlink 1.0 to Pyth 2.0, and then to APRO's AI-enhanced 3.0 era.
13:32 - APRO's market strategy: Using the Bitcoin ecosystem as a pivot to quickly cover 40+ public chains, with TVS exceeding $1.5 billion.
18:18 - AI-enhanced RWA oracles: How to use large models to validate unstructured assets like real estate, Pre-IPO stocks, and prediction market events.
27:18 - ATTPS protocol: Establishing security standards for data communication between AI Agents, already integrated with mainstream frameworks like DeepSeek.
36:25 - The moat of oracles: It's not about competition but about win-win, finding differentiated positioning in a monopolized market.
44:09 - EASY Residency Demo Day: Roadshow at the New York Stock Exchange, the collision of Web2 and Web3 in time and space.
51:04 - Deep integration with the BNB ecosystem: Serving 40+ projects, using Greenfield to store nearly 20GB of data.
58:32 - Team and recruitment: A lean team of 20, with BD positions open in North America and Hong Kong.
1:06:59 - Industry outlook: The future of the oracle space lies in capturing the data needs of every emerging trend.
Disclaimer & Risk Warning: The views of the host or guests in the podcast represent personal opinions and may sometimes hold positions in the projects discussed in the podcast. This podcast is for informational purposes only and should not be considered investment advice. Always DYOR (Do Your Own Research).
With hosts as good as Ruby and Star, I can’t help but feel lucky! They ask sharp questions and guide the conversation so well that I couldn’t resist saying more than usual—turned into a bit of a chatterbox.
One question I especially loved was this: in such a hyper-competitive oracle industry, is there really a need to build a new oracle?
In the video, I drew a parallel to the classic Google vs. AOL case. The legacy oracle providers, thanks to first-mover advantages, have long delivered stable, reliable pricing feeds for DeFi and TradFi. But like AOL, their original architectures face major limitations when confronted with new scenarios—RWA (real-world assets), AI agents, prediction markets—where you need to handle massive volumes of non-standard, enterprise-grade complex data.
From day one, APRO chose not to go head-to-head within the old, narrow definition of oracles. Instead, like Google, we’ve aimed to “attack from a higher dimension.” We believe the next generation of oracles should act more as “interpreters” and “verifiers” of data. That’s why our product model, core philosophy, and technical focus are fundamentally different.
I believe this is a key reason APRO has been able to shine so quickly in a blue-ocean market.
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