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Channel Posts
Market makers, listings, CeDeFi, and his personal playbook.
Check out Andrei Grachev's interview on The Sujal Show with Sujal Jethwani here.
| 2 | Market makers, listings, CeDeFi, and his personal playbook.
Check out Andrei Grachev's interview on The Sujal Show with Sujal Jethwani here. | 1 |
| 3 | Competition for pre-IPO market share is accelerating:
β Binance and Bitget: tokenized pre-IPO shares via PreStocks integration
β Trade.xyz: pre-IPO perps, ~$7M daily volume in week one
β Backpack: onchain IPOs with actual equity exposure as issued shares, supported by Superstate and Solana
But the SEC-CFTC has released guidance that puts tokenized SPV structures at risk of enforcement once companies go public.
Platforms that can optimize for all conditions will emerge as winners.
DWF Ventures explains the endgame for pre-IPO markets here. | 224 |
| 4 |  A current gap in the AI agent market is memory.
Most assistants today don't have a way to compound what they've learned. Every interaction is a fresh start, regardless of how many hours a user has spent with them.
Hermes Agent, released by Nous Research in February 2026, is built around the opposite principle: an agent that gets more capable over time.
It is already ranked #1 on OpenRouter, with 40+ built-in tools and support for 20+ LLM providers.
DWF Ventures investigates the architecture and what it means for the agent landscape here. | 273 |
| 5 |  Most AI agents have a major design flaw. Missing memory.
Every session starts from 0. They donβt learn. They donβt improve.
Nous Research built Hermes with memory in mind. It self-improves the more you use it. Compounding its capabilities.
Itβs now the most-used agent by token volume. 2.2x that of OpenClaw.
The latest piece by DWF Ventures explains why Hermes has pulled ahead, how its memory architecture works, and how it stacks up against the alternatives: https://x.com/DWFVentures/status/2062897248233787776?s=20 | 424 |
| 6 |  Stablecoin market cap hitting $320B is the number dominating headlines. However, the full picture requires looking beyond market cap and at stablecoin velocity as well.
Stablecoin velocity has reached an annualized rate of 49.7x, which means every tokenized dollar in circulation is changing hands ~50 times per year.
$320B supply Γ 49.7x velocity = $6.64T in real, filtered transaction volume since the start of 2026 (via Visa and Allium Labs, bots excluded).
For context, stablecoin velocity peaked at 34.2x during the stress of Terra/FTX in 2022. The current reading of 49.7x is nearly 50% above that prior record.
The surge in velocity reflects a genuine expansion of real-world utility beyond speculation.
More in our full report here. | 420 |
| 7 |  Stablecoin adoption has gone through three distinct phases:
1οΈβ£ (2019 - 2021): Speculative bootstrap
π Velocity stayed within the range of 24-28x as usage grew in tandem with capital inflows
2οΈβ£ (2022 - 2024): Stress test
π Velocity peaked at 34.2x during Terra/FTX as users de-risked
π New capital in 2024 remained mostly idle
3οΈβ£ (2025 - present): Real-world adoption
π Transaction volume has completely outpaced supply growth and velocity has surged from 39.3x to 49.7x
πRemittances and payments are now the fastest-growing segment
$320B in supply and $6.64T in year-to-date volume show that the dollars are working.
However, Bitcoin and Ethereum ETFs are telling a different story.
We unpack it all in our new edition of Eyes on the Market: https://www.dwf-labs.com/research/stablecoin-velocity-hits-record-497x-as-real-economic-usage-surges | 428 |
| 8 |  Andrei Grachev on the thesis behind Falcon Finance's fUSD in Korea Economic TV (νκ΅κ²½μ )π | 358 |
| 9 |  Catch up with us in our May recap π
1. Andrei Grachev, Managing Partner, published an article on the DeFi vs. CeDeFi debate, sharing that full automation isn't the endgame - risk management still matters three cycles in. Read more here.
2. Andrei was quoted in CCN on what the market needs in the next stage of tokenization and RWA adoption.
3. At a panel hosted by RWA Week, Andrei covered AI agents in trading, why human logic still sets the floor for risk management, and what the future of AI in crypto looks like. Listen here.
4. DWF Ventures published "The Pre-IPO Gold Rush," examining tokenized pre-IPO markets, the structural differences between existing models, and the risks most platforms haven't solved for.
5. We published Eyes on the Market Vol. 12 - "The On-Ramps Are Multiplying." The GENIUS Act passed, stablecoin infrastructure is scaling, and the regulatory framework is catching up to what builders have already shipped.
6. Falcon Finance launched fUSD, a GENIUS-ready stablecoin, in partnership with Anchorage. The stablecoin stack is expanding. More information about the partnership here.
7. We're on top of market growth and developments. Catch some of the highlights from May:
- GENIUS and Clarity Act timeline
- The story behind what people are buying onchain
- Stablecoin growth and usage
- Tokenized stocks market expansion
- Tokenized private credit market overview
The work compounds. See you in June π | 519 |
| 10 |  Andrei Grachev on the formula for project success with Cointelegraph's Robert Baggs π | 444 |
| 11 |  Human logic is still a crucial part of utilizing AI for trading.
Andrei Grachev explains why in a panel with RWA Week π | 478 |
| 12 |  Pre-IPO tokens on PreStocks and Ventuals are trading at persistent premiums above last known private market valuations.
Historical IPO valuations land roughly 25% above raise. Investors who entered at a 20-40% premium have a narrow margin before trades turn negative.
There are also other risks:
β Companies like OpenAI and Anthropic have condemned unauthorized tokenized exposure
β Fund structures bundle exposure with no control over individual allocations
β At IPO, there's no guarantee of instant liquidity. SPV-held shares require a separate liquidation process
DWF Ventures elaborates more in their article here. | 494 |
| 13 | Meet the team! Andrej Sazonov, Head of Business Development at DWF Labs, will be at Proof of Talk in Paris on June 2-3, 2026.
If youβre looking to connect around OTC, liquidity provision, investments, or partnerships, we have a short form for meeting requests: https://dwf.is/meeting
Due to limited availability, submissions will be reviewed based on suitability, and weβll follow up with selected parties to confirm meetings.
Looking forward to connecting with you π€ | 440 |
| 14 |  Three structurally different models for pre-IPO market exposure exist:
1οΈβ£ SPV-backed tokens: claim on shares, redeemable post-IPO, but redemption requires selling on private secondary markets with no guaranteed timeline
2οΈβ£ Synthetic contracts: no backing, oracle-pegged, permissionless, but can be exited at market subject to secondary liquidity mechanisms
3οΈβ£ Closed-end funds: SEC-registered or fund-structured, but with direct equity or SPV backing, and higher fees (up to 3.6% annually)
DWF Ventures breaks down the tradeoffs here. | 438 |
| 15 |  Stablecoin rails are being used, and Apr 2025 to Apr 2026 growth tells the story. | 458 |
| 16 |  Different clients face different risks in the DeFi and RWA market.
Andrei Grachev breaks it down π | 506 |
| 17 |  The first real-world Bitcoin transaction.
16 years later, the network looks a little different. | 568 |
| 18 |  Tokenized stocks, private equity, VC assets, all moving onchain.
May 2026 snapshot π | 496 |
| 19 |  -13.4% β 40.5% β 49.1%
The Hiive 50 secondary market index tracking the top 50 pre-IPO companies has gone from underperforming the S&P 500 to nearly tripling it in two years.
What changed is that companies like SpaceX, OpenAI, and Anthropic are approaching IPOs at record valuations, and the average time to go public has stretched to 12 years, up from 4-5 in the 1990s.
Hiive's average transaction size topped $1M last year.
The transaction size shows that the market exists, but it's built for institutional buyers. Retail demand is spilling onto on-chain alternatives.
More from DWF Ventures here. | 512 |
| 20 |  Non-professional traders using AI are not necessarily guaranteed success.
Andrei Grachev explains in a discussion with RWA Week π | 520 |
