Jared Lawrence

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Jared Lawrence

Jared Lawrence

@Beyondfinancee

Trader & Investor of 10 years 📈 Founder of Beyond Finance - Helping others build wealth within the Bittensor Eco-system. Free weekly 'Beyond Alpha' report 👇

Katılım Nisan 2021
573 Takip Edilen2.7K Takipçiler
Jared Lawrence
Jared Lawrence@Beyondfinancee·
Fundamentally & technically so bullish! I know having some patience in dtao land is pretty rare BUT this is one I'm happy holding because I know what's cooking 🔥 Don't fade the @Sebyverse
Mariuszek@sobczak_mariusz

SN 46 $TAO @resilabsai AMA Summary Nerds hosted @Sebyverse , founder of RESI SN46, and we walked away more bullish than we went in. What became clear during the AMA is that this is not just a real estate data play. The real thesis is much bigger. RESI is building intelligence infrastructure that enables liquidity for on chain real estate. The subnet is the intelligence layer that makes the whole system defensible and ensures all tokenized value is underwritten. The structure is clean and easy to follow: Subnet → appraisal oracle → tokenization framework → lending markets → MBS style vaults That progression matters because each layer strengthens the next. Rather than building around abstractions such as tokenizing an LLC, RESI tokenizes liens directly. Liens are how banks actually secure claims on property in the real world. A property cannot be sold without satisfying outstanding liens first. That means RESI is building around the legal primitive that already matters. According to @Sebyverse , this can reduce tokenization from roughly 2 weeks and $2,000 to about 2 days and $200. That is not a small improvement. That is a structural reduction in friction, time, and cost. The real unlock comes from what sits on top of that system. Once you have verified appraisals, title checks, inspection inputs, and lien status feeding through the subnet, you can start building lending markets directly on top. That is where RESI Finance comes in. The vault model Seby described is essentially a real estate credit product backed by tokenized property liens. Think Maple Finance but for real estate loans. Homeowners can borrow against equity. Liquidity providers can earn yield. Investors can gain exposure to tokenized real estate credit. And here is where it gets interesting for the yield-focused investor: if you own tokens of a property generating 15% yield, you borrow against those tokens at 5%, loop three times, and you are sitting at 45% yield against a 15% cost — backed by a real world asset, not a narrative. Institutions can also buy entire vaults the same way mortgage products are bundled and sold today. The US mortgage-backed securities market is $11 trillion in outstanding debt. That is the addressable market Seby is pointing at. The moat here is the oracle. A lot of people talk about tokenized real estate, but very few are actually solving the hardest part: reliable on chain property intelligence. Without verified property values and lien verification, you do not have a serious lending market. You just have a narrative. RESI is trying to build the missing layer that makes real financial products possible. Seby also laid out a broader flywheel where third party platforms plug into RESI smart contracts, source homeowners and investors, and route activity into the vault system. That means fees can potentially come from multiple directions: borrowing, lending, exchange activity, and platform usage. There are real risks. Lending against real property liens is not a light regulatory exposure — this sits closer to mortgage lending than it does to crypto, and that distinction matters legally depending on jurisdiction and how the product scales. Execution risk is real. Launch timelines are ambitious. But the architecture itself feels coherent in a way most subnet pitches simply do not. This is one of the few subnets where the product and the subnet actually need each other. The intelligence layer is not optional. It is the foundation. That is why we walked away more bullish. June is the target. If they hit it, RESI Finance stops being a subnet story and starts being a DeFi story. Those are different audiences, different capital, and a very different ceiling.

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Jared Lawrence
Jared Lawrence@Beyondfinancee·
I get the sense that we are edging ever closer to that lightbulb moment for $TAO where a number of subnets start catching more mainstream attention like this and the wider market finally sees what's boiling underneath the surface. Amazing work @tplr_ai keep on cooking!
Openτensor Foundaτion@opentensor

The largest decentralised LLM pre-training run in history. SN3 @tplr_ai trained Covenant-72B across 70+ contributors on open internet infrastructure. Now it’s being discussed by @chamath with @nvidia CEO Jensen Huang. Distributed, open-weight model training on Bittensor is getting started.

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Jared Lawrence
Jared Lawrence@Beyondfinancee·
@here4impact @Investing88ai @CryptoZPunisher @TrustedStake 20% wow that's a decent amount. So to confirm - If I invest 1000 TAO into the 88 public fund that wallet will have to have 200 TAO worth of 88 alpha in it/will be purchased via the proxy if it does not? IF that's correct that a solid amount of buying pressure right there!
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Michael D. White
Michael D. White@here4impact·
@Investing88ai's retail fund is launching by end of month. **you will need sn88 alpha to participate** I committed 100T to their strat on 12/22/25. 47% in < 80 days. I have not touched the wallet: all automated. absolutely banana-level insane. thank you for your attention to this matter. #bittensor $TAO $dTAO
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Investing88@Investing88ai

With 88's public retail fund launching in the coming weeks, 88 + 118 will be the major force that stabilizes the subnet ecosystem and drives growth x.com/Subnet118/stat…

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Vidaio
Vidaio@vidaio_·
"Please fasten your seatbelts and ensure your seatback and tray tables are in their full upright position." From groundbreaking tools... To a complete intelligent ecosystem... "LADIES AND GENTLEMEN, PREPARE FOR TAKEOFF" Introducing: VidaioOS The next dimension in enterprise video management. $TAO @vidaio_
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Investing88
Investing88@Investing88ai·
@CryptoZPunisher @here4impact Details in the coming weeks. @TrustedStake will have a strategy page for the public fund where everyone can join. Wallets can have sn88 alpha pre-loaded, or auto-purchased based on a ratio Essentially it'll be turnkey wallet growth + auto alpha buyback. Win-win for everyone
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Jared Lawrence
Jared Lawrence@Beyondfinancee·
@RadoTsc @vaNlabs @taostats Tracking wallets, price alerts, portfolio updates, constant scanning to find the best subnets to be in to generate ROI, looking for edges in taoflow data etc etc…
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vaN ττ
vaN ττ@vaNlabs·
I've done ~24k @taostats API calls the last month. Its safe to say they are already one of the products I use most in Bittensor. Now we have a wallet, and the interesting part is it actually leans into what they're already good at, visibility. Clean account separation, portfolio overview, subnet allocation, cleaner wallet UX. Feels built for people who actually want to understand their positions. taostats.io/bittensor-chro…
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Jared Lawrence
Jared Lawrence@Beyondfinancee·
MASSIVE @taostats fan! Beyond Finance burns through about 10-15K taostats API calls per day and now It's a bit like the cult you get with apple products, once you've used taostats for long enough you've got to use EVERYTHING taostats! Check out their new wallet - super clean and smooth brain freindly! Wen advanced trading charts? @dougsillars @mogmachine 🙏 taostats.io/bittensor-chro…
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Stitch3
Stitch3@Stitch3_ai·
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Leadpoet
Leadpoet@LeadpoetAI·
Introducing Leadpoet. The AI agent that delivers ready-to-buy prospects on demand. Your next customer is already looking for your solution. Leadpoet finds them. Comment “Poet” and we’ll send you 100 free lead credits for your ICP.
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Jared Lawrence
Jared Lawrence@Beyondfinancee·
Massive congrats @LouiseBeattie for your efforts and what you do for this space - Keep up the amazing work! Representing the BF team, love it!
Louise Beattie@LouiseBeattie

I'm honoured to be joining the Ambassador cohort for @proofoftalk 2026. Last year, Proof of Talk hosted the first dedicated Bittensor track at the Louvre Palace in Paris. Jacob Steeves announced @affine_io live on stage. Barry Silbert and @YumaGroup revealed institutional products for subnet tokens. @CrucibleLabs launched smart allocators. The founders were in the room together, and the people who needed to see what Bittensor is actually building got to see it up close. This year the Bittensor track is back and expanded. Two full days of keynotes, panels, fireside chats, and workshops dedicated to the protocol, inside a room of 2,500 senior operators (fund managers, protocol architects, regulatory leads, exchange executives) representing roughly $18 trillion in AUM. 85% C-level, founders, and allocators. What makes this room different from most conferences: the density. This isn't a mass event with 20,000 people and no signal. It's high-trust, decision-making weight. The kind of room where decentralised intelligence meets serious capital and policy attention. Since last year's track, the network has delivered the largest LLM pre-training run on a decentralised network, state-of-the-art coding agents at a fraction of centralised cost, and trillions of tokens served on open models. No central coordination. No VC direction. Just incentive mechanisms doing what they were designed to do. That's the story that needs to be in front of institutional investors, and Proof of Talk is where it's being told. @const_reborn, @shibshib89, @mogmachine and more Bittensor builders are returning. @taaboracle is Diamond Sponsor of the Bittensor track. Speaker announcements are rolling out now, and I'll be sharing the ones that matter as they land. If you're building in the Bittensor ecosystem, investing in decentralised AI, or working at the intersection of capital markets and Web3, this is a room worth being in. I would love to meet you there. Use my code LOUISEB for exclusive Ambassador pricing and secure your pass before this one sells out too. June 2 & 3, 2026 | Louvre Palace, Paris tickets.proofoftalk.io

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Supercycle
Supercycle@supercyclepod·
Stillcore expected $TAO at $3,000 this year. One of the first funds exclusively investing in Bittensor. Built in partnership with @Jason, widely known for his All-In Podcast. This might be the breakout moment for TAO, backed by distribution and network that can take Bittensor to the masses. 0:00 Intro 1:05 What is Bittensor? 5:50 Ridges (SN62), 404Gen (SN17), Nova (SN68), Templar (SN3) 9:00 Why bet an entire fund on one ecosystem? 14:35 Ridges (SN62) Targon (SN4) and Chutes (SN64) 22:29 Thesis for TAO 33:28 Stillcore Portfolio picks: Ridges (SN62), Hippius (SN75), Targon (SN4) 44:10 BitCast (SN93), mining $TAO by podcasting 50:53 OpenClaw and Vidaio (SN85) mining 1:00:39 Rapid Fire inc. BitMind (SN34)
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vaN ττ
vaN ττ@vaNlabs·
I just flipped to daily chart and aped MORE @resilabsai NFA | $TAO
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vaN ττ@vaNlabs·
Just open-sourced IntoClaw. A framework for building @openclaw agents that interact with the Bittensor ecosystem. Current core skills include: ✔️ Robust SKILL creator ✔️ Full Bittensor knowledgebase ✔️ Chain metrics (@taostats) ✔️ Web / X search (@desearch_ai) If you want to help build agent infrastructure for $TAO, the repo includes a skill creation template so anyone can extend it. Matured skills will eventually be published on ClawHub. Keeping to the IntoTAO.app theme of helping people understand Bittensor, this is intentionally NOT a one-liner and it magically gets you up and running. It's built with an educational edge. Give your bot the repo URL and it will install everything (selectable) while guiding you step-by-step through what it's doing and what you'll get out of it. Helping you learn while making the bot a $TAO expert! What skills should it have next? PR's welcome!
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Jared Lawrence
Jared Lawrence@Beyondfinancee·
Some VERY positive updates here from the team at @vidaio_ Technically very bullish. Fundamentally very bullish.
Vidaio@vidaio_

Incentive Model Update and Strategic Direction 1. Current Position of the Subnet Video Subnet 85 has reached an important stage in its development. The subnet is actively processing workloads and building the infrastructure required to support significantly larger-scale demand. As the project prepares for upcoming partnerships and enterprise-scale integrations, the team has been evaluating whether the current incentive structure properly reflects both the present stage of the network and the future direction of the subnet. The current design distributes emissions across approximately 120 miners, while burning roughly 35% of emissions. In practice, however: ● The studio interface, which handles the majority of current organic usage, selects only the top-performing miners. ● A large number of miners receive identical scores, with minimal differentiation between roughly rank 13 and rank 100. ● This reduces competitive pressure and results in rewards being distributed more broadly than necessary at the current stage of network scaling. As Video prepares to support larger client workloads, it becomes important to reduce unnecessary emissions while strengthening competitive performance among miners. 2. Immediate Incentive Model Adjustment The first stage of this transition is a refinement of the emission distribution model. Current Model ● 33% emissions burned ● Remaining emissions distributed across approximately 120 miners Proposed Model The updated model concentrates rewards on the most performant miners while significantly increasing the burn rate. Top 20 miners ● Receive 10% of emissions collectively (currently around 6%) ● These rewards are shared across the top miners and represent the primary reward pool. Remaining 100 miners ● Receive 10% of emissions collectively ● These rewards are intentionally small but provide visibility into how close miners are to reaching the top tier. Emission burn ● 80% of emissions burned This structure ensures: ● Stronger incentives for high-performance miners ● A clear competitive pathway into the top reward tier ● Significantly reduced emission waste 3. Why This Change Is Necessary This adjustment improves the subnet in several important ways. Stronger Competitive Differentiation Currently, many miners receive identical scores, which limits meaningful competition. Concentrating rewards among the highest-performing miners encourages continuous improvement in models and infrastructure. Healthier Token Economics By increasing the burn rate to 80%, the subnet significantly reduces unnecessary emission distribution while strengthening long-term token dynamics. Preparing for Future Demand The subnet is preparing to support much larger workloads and enterprise integrations. Aligning the incentive structure now ensures the network is ready to scale efficiently when those workloads arrive. 4. Strategic Direction of Video Subnet 85 Video Subnet 85 is evolving toward supporting large-scale commercial video workloads. The project is currently engaged in discussions around partnerships that require: ● scalable video processing ● reliable throughput ● enterprise-grade security ● predictable compute environments To support these requirements, the architecture of the subnet will evolve beyond the current structure. 5. Hybrid Infrastructure Model Rather than executing all workloads directly on the open subnet, Video will utilize trusted execution environments provided by third-party infrastructure providers. These providers include: ● Targon ● Chutes ● Basilica These environments allow: ● encrypted and secure data processing ● predictable compute performance ● enterprise-compatible execution environments Importantly, Video itself is not building these environments, but leveraging specialized providers within the broader ecosystem. 6. Role of Miners in the Future Network Miners will compete to develop the best-performing solutions for specific video processing tasks required by clients. These tasks may include: ● video compression ● video upscaling ● encoding ● lip-syncing ● context understanding ● specialized transformation tasks ● model-based video processing The subnet therefore becomes a competitive innovation layer, where miners continuously improve algorithms and models that can be deployed into production workflows. 7. Revenue Feedback Into the Subnet The long-term economic model introduces real revenue flowing into the subnet. While third-party providers operate the trusted execution environments and cover their own operational costs, revenue generated from client workloads will contribute back into the subnet ecosystem. This has two important effects: 1. Offset miner emissions 2. Increase reward pools for valuable tasks From an investor perspective, this model aims to create a positive economic dynamic where: capital inflows from client usage exceed token outflows from miner rewards. When demand for video processing grows, this dynamic strengthens the economic value of the subnet. 8. Future Competition-Driven Mechanism The longer-term evolution of the subnet will introduce a competition-driven reward environment. Rather than static emissions tied to miner ranking, the network will increasingly reward: ● innovation within key video-processing tasks ● measurable performance improvements ● solutions that meet real client needs Miners will compete to develop the most effective models and techniques within these domains. 9. Two-Stage Upgrade Path This transition will occur in two stages. Stage 1 - Immediate Change ● Adjustment of emission distribution ● Increased burn rate to 80% ● Concentration of rewards among the top-performing miners This step is primarily an economic and efficiency improvement to reduce unnecessary emissions while the subnet prepares for larger throughput. Stage 2 - Future Upgrade ● Introduction of a competition-driven mechanism ● Expanded task categories ● Integration with enterprise execution environments This stage is currently under development and will roll out as client integrations and contracts mature. 10. Expected Outcome These changes aim to ensure that Video Subnet 85: ● becomes more competitive ● reduces wasted emissions ● strengthens token economics ● prepares for enterprise-scale workloads ● evolves into a high-performance innovation layer for video AI By aligning incentives with both current demand and future growth, the subnet is positioning itself for the next phase of its development.

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Jared Lawrence
Jared Lawrence@Beyondfinancee·
@__0WhoKnows0__ Very nice well done! What were your portfolio allocations? And were you riding specific subnets or trading in and out?
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Who Knows
Who Knows@__0WhoKnows0__·
Turned 10 $TAO into 100 $TAO and I have 500 followers, no platform, and I never shilled a single thing. A few months ago I gave myself a challenge: turn 10 $TAO into 100 $TAO by holding and trading subnets. No alpha group. No CT clout. Nobody was cheering me on or signal-boosting my trades. Just me sitting alone doing the work that most people with 10x my following wouldn’t bother doing. While the accounts with thousands of followers were busy posting charts and farming engagement, I was quietly going subnet by subnet through the Bittensor ecosystem looking for what nobody had priced in yet. I didn’t need an audience to make this work. I needed patience and a willingness to read what others skipped. The edge was always there. Most people just walked right past it. 👁️
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