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DWF Labs
5,450 posts
DWF Labs
@DWFLabs
A Web3 market maker and strategic investor providing capital and liquidity to institutions and builders.
Managing Partner: @ag_dwf
Joined June 2022
.@AlessiaBaumgar, VP of Ecosystems, shares with @Ask_ORO about all things DWF Labs: 1️⃣ On what DWF Labs is: "I don't try to put us just in the market maker position or just the investor position. The model spans stages. Investor at pre-seed and seed, liquidity provider as
ORO Beats Ep. 14 is live. @AlessiaBaumgar and @katerinaviko are in the room now. Join, drop your wallet in the comments, and walk away with 5,000 ORE Points. x.com/i/spaces/1AKEm…- A year ago, tokenized stocks were basically one ticker. Today: $2.76B across 100+ stocks, up 789% in 12 months. SpaceX listed on Nasdaq June 12. Same day, it was trading onchain via xStocks and Ondo. Over $100M tokenized in 4 days. What a time to be alive!
- Financial engineering isn't unique to crypto, it's how every modern market operates. @ag_dwf on what's happening now👇The whole financial market is a product of financial engineering, not only crypto, but also tradfi, stocks, commodities, etc etc It’s not good, it’s not bad, it’s just a stage of markets development, which will end up with a crisis, but until then we have to play this game sell
- DWF Labs reposted
1 day to go until TBV Demo Day 14. 🚀 Founders take the stage to pitch in front of top VCs, investors, and ecosystem builders. If you’re a founder, investor, or just want to see what’s getting built next, this is your sign. RSVP now 👉 luma.com/tbvdemoday14
- The biggest capital buildout in tech history is being financed by private credit. The same private credit market that tokenization is built to unlock.Microsoft, Google, Amazon and Meta are projected to spend roughly $725B on capex in 2026, up 77% from last year's record. Data centers, chips, power contracts, and the private credit funding all of it. AI is driving the biggest capital buildout in tech history, yet onchain
- .@DWFVentures compares Hermes vs. Claude Code vs. Codex CLI vs. OpenClaw in 8 dimensions: The pattern is consistent across models. Most agents excel at depth, polishing, or ecosystem integration. Hermes trades some of that simplicity for something different - persistent memory.
- Tokenization solved issuance, but composability is what's still missing. @falconfinance with the numbers that show the gap 👇Tokenized RWAs are a $380B market where 92% cannot move. @RWA_xyz splits it in two: $31.17B distributed and transferable by investors, $349.33B represented, recordkeeping entries that never leave the issuer's system. Of the part that moves, about $1B works as lending collateral
- Market makers, listings, CeDeFi, and his personal playbook. Check out @ag_dwf's interview on @TheSujalShow with @SujalJethwani👇
00:00 - Hermes' self-improvement stack runs across four integrated layers: procedural, episodic, declarative, and maintenance. The result is that the more the agent interacts with a specific environment, the more precise its outputs become. OpenClaw's ClawHub offers similar concepts
