

𝙱𝙾𝙱𝙱𝚈 𝙳𝙰𝙽𝙸𝙴𝙻 ✗
5.7K posts

@bobbydaniel_
🛠 Founder @DeSciBridge || 🧬DeSci KOL || Community Builder || 👨🔧 BioMedical Engineer || I analyze onchain data and build AI systems



Most people talk about building science. We decided to start building 🛠️. One month ago, we launched DeSci Bridge with a simple belief: that one of the biggest barrier to fixing science isn't a lack of smart people, but a lack of a clear entrance ramp. Turns out, a lot of you were looking for that ramp too. Here’s what’s happened so far in just 30 days: 1️⃣ 40+ of you walked through the door organically because the problem we're solving is real and people feel it. 2️⃣ 20+ people started the DeSci course with 10+ completions 3️⃣ We've curated 40+ DeSci projects across the ecosystem and made them searchable, browsable, and digestible. Making it easier to discover what’s being built across the ecosystem. 4️⃣ Three partnerships, each one deliberate: 🤝 With @Aura_Sci, we’re establishing the official foundational curriculum for onboarding. 🤝 Working with @episteme_sci to explore scientific prediction markets 🤝 And we partnered with @Origobase, a launchpad for DeSci projects building on Base. We also didn’t just talk about ideas. We shipped one. 5️⃣ Our first hypothesis is now live on @episteme_sci and open for exploration and validation. It explores how collaborative learning in peer cohorts drives more diverse research outputs by the end of 2029. Check it out: app.episteme.space/hypothesis/28/… 6️⃣ Curated real opportunities for our community 🛠️ Including the a16z Speedrun Alpha Fellowship by @speedrun 🛠️ And the PL_Genesis Frontiers of Collaboration Hackathon by @PL__Genesis . . . Most platforms stop at content or community and call it a day. We are building the full stack instead. Education leads straight into projects, which open doors to opportunities and create measurable impact, with every layer reinforcing the next. Beyond onboarding we go further. We support DeSci teams directly with ecosystem growth through community building, KOL management, and go to market strategies built specifically for how DeSci projects actually operate. If you're curious about where decentralized science is going and want to be part of shaping it, the door is open. 👉 Explore everything at descibridge.vercel.app The Bridge is wide open. See you inside.





We’re not just building a bridge, we are testing the foundation. About a month ago, we launched DeSci Bridge to connect traditional clinical research with Decentralized Science. Today, we take our biggest step yet. Our first hypothesis is live on @episteme_sci. The Hypothesis: "By the end of 2029, there will be credible evidence that people who learn in structured peer cohorts within decentralized science go on to produce broader research than those who follow comparable learning pathways alone." This matters because collaboration is a core value in DeSci, but we are moving beyond talk to prove it. By using Episteme’s Eidōlon platform, we are testing whether group intelligence and shared learning can actually outperform individual efforts in predicting scientific success. We are putting our skin in the game to show that decentralized cohorts aren't just social groups, but they are precise tools for validating and advancing medical research. Today, the Cohort Question is officially open. If you believe that open collaboration is the key to better science, check it out & trade your conviction: app.episteme.space/hypothesis/28/… The bridge is open. Let’s cross it.

We’re not just building a bridge, we are testing the foundation. About a month ago, we launched DeSci Bridge to connect traditional clinical research with Decentralized Science. Today, we take our biggest step yet. Our first hypothesis is live on @episteme_sci. The Hypothesis: "By the end of 2029, there will be credible evidence that people who learn in structured peer cohorts within decentralized science go on to produce broader research than those who follow comparable learning pathways alone." This matters because collaboration is a core value in DeSci, but we are moving beyond talk to prove it. By using Episteme’s Eidōlon platform, we are testing whether group intelligence and shared learning can actually outperform individual efforts in predicting scientific success. We are putting our skin in the game to show that decentralized cohorts aren't just social groups, but they are precise tools for validating and advancing medical research. Today, the Cohort Question is officially open. If you believe that open collaboration is the key to better science, check it out & trade your conviction: app.episteme.space/hypothesis/28/… The bridge is open. Let’s cross it.


Fresh on Eidōlon ⚡️ @DeSciBridge just launched a market on a big DeSci question: Can collaborative learning lead to more diverse research output?




A virtual lab ran for 8 hours. Self-organized roles. Commissioned cloud lab experiments. Paid contributors. Zero human PIs, zero committees, zero approval workflows. This is what happens when agents have wallets and research infrastructure. Agent queries BIOS for deep literature review. Pays per query via x402 from its wallet. Gets back hypothesis. Publishes to Science Beach. Other agents critique it, branch off it, vote on it. Promising ones spin up virtual labs. Labs commission wet lab experiments. Pay for them. Results flow back. Contributors get paid proportional to contribution. The reward function is simple: good science pays. The system remembers who drove it. This creates capital formation around specific research programs. Rare disease advocacy group pools funds. Tasks agents to work exclusively on their pathway. Effectively rents a research institute to address their problem. The moat isn't any single component but the feedback loop between them: -> Science Beach (agent platform, social layer) -> BIOS (AI scientist, pay-per-query) -> Molecule Labs (IP protection, encrypted data rooms) -> ClawdLab (virtual lab coordination) -> x402 + Bio Protocol (payment rails, capital formation) Agent-generated research hypothesis → virtual lab coordination → real wet lab execution → IP protection → crowdfunding → commercialization. All autonomous. All onchain. All building in public. Full details: beach.science






