Memetic Research Group (MRG)

Early signal on frontier assets.

[Memetic Research Group (MRG) @mrgintel]

@teepanddestroy @avipat_ The world will kled

[Memetic Research Group (MRG) @mrgintel]

“The true asset isn’t just the data, it’s the network of people willing to contribute to it.”

The market hasn’t even begun to price in this realization for $KLED

Study network effects, particularly those of a first mover in a new vertical

[Mark Vassilevskiy @MarkKnd]

pitch deck in progress

[Memetic Research Group (MRG) @mrgintel]

@avipat_ 👀

[Memetic Research Group (MRG) @mrgintel]

@snipeder @pugsandtrades Smells like cope. Get back to formatting logos for your VP buddy

[Memetic Research Group (MRG) @mrgintel]

@avipat_ Avi Patel Mode

[Memetic Research Group (MRG) @mrgintel]

@avipat_ Data Capital Markets

[Memetic Research Group (MRG) @mrgintel]

@0xDamien @useKled Data is the most important Asset

[Memetic Research Group (MRG) @mrgintel]

@avipat_ Patel Mode

[Memetic Research Group (MRG) @mrgintel]

@0xDamien The market doesn't believe him. Which will make the repricing all the more glorious when it happens

[Memetic Research Group (MRG) @mrgintel]

@chang_defi Kled or Die

[Memetic Research Group (MRG) @mrgintel]

@Palgrani2 Enter Uranus

[Memetic Research Group (MRG) @mrgintel]

@avipat_ Avi Patel Mode

[Memetic Research Group (MRG) @mrgintel]

KLED Research Update - Continued Execution, PMF Validated, Partnership(s) Closed

Founder @avipat_ continues to execute, and based on his frequent updates, $KLED has validated product-market fit on both enterprise and consumer sides, transforming from speculative thesis to proven revenue model. Significantly undervalued at $8M currently. Updated targets: $50M-$100M near-term.

1. Enterprise PMF Validation - Dual Revenue Streams

Revenue Stream 1: Data Brokerage (Established)
> Sub-licensing existing content from data rights holders (e.g. production companies) to AI labs
> 50-50 revenue share model with content owners
> 7-figure revenue already achieved from brokering large-scale content libraries. Currently profitable from this brokerage business alone

Revenue Stream 2: Consumer-Generated Marketplace (Growing)
> Former Google NotebookLM team at @gethuxe as first pilot customer for consumer-uploaded data with co-founder @jayspiel_ leading integration
> "Billion-dollar AI lab user in final stages" for marketplace data access – potentially an OpenAI / Google DeepMind / Anthropic type lab

Strategic Advantage: Stream 1 provides immediate cash flow and enterprise relationships, while Stream 2 (the core marketplace thesis) scales with unique human-contextualized data that competitors cannot replicate.

This validates our core Context Revolution thesis - AI companies are paying premium for human-contextualized data that models cannot generate independently.

2. Consumer PMF with Sustainable Unit Economics

Growing User Base with Real Payouts:
> 100-500 daily signups with a 1M user target by end of year
> $100K+ in total already paid to users from first batches, funded by enterprise revenue. Batch 4 will be the first six figure pay-out
> 16TB+ of data uploaded with users earning hundreds of dollars for quality content
> 150+ large content creators consistently uploading, treating KLED as legitimate income source

Sustainable Economics:
> Enterprise revenue funds user payments - not dependent on speculative trading volume
> Consumer app takes <10% of revenue vs. 50-50 enterprise split; mix ensures sustainable margins
> Quality-driven payouts based on resolution, content type, and enterprise demand

KLED has solved the chicken-and-egg problem by securing enterprise demand first, then using that revenue to bootstrap consumer adoption.

3. Evolution into Full Stack Data Infra Platform
Platform Evolution Beyond Marketplace:

> APIs/SDKs launched with 20+ projects requesting integration
> Enterprise Portal enabling direct AI company access to datasets
> Auto-integrations with YouTube, Instagram, Twitch for frictionless content flow
> Special Tasks Terminal for custom enterprise data requests
> Other projects are already beginning to build on KLED’s ecosystem, including @taskrushai which is focused on data labeling.

KLED is positioning to become the underlying infrastructure for the entire AI training data economy, not just a marketplace provider. The market has not recognized KLED’s potential as the leader of a full fledged data ecosystem, with value capture back to the infra layer (e.g. Virtuals playbook).

4. KLED Flywheel Imminent

Batch 4 will be the first batch of users to be paid in $KLED token for uploading their data to fulfill enterprise contracts. This will be the first six figure payout (100k+) paid to users.

> Step 1 - KLED Buys from Open Market: Platform uses enterprise revenue to purchase $KLED tokens from the open market. This creates immediate buy pressure and price support
> Step 2 - Users Receive $KLED as Rewards: Instead of cash payouts, users get $KLED tokens for their data uploads. Users now have direct token exposure and incentive for platform success, creating a community of token holders who are also active platform participants
> Step 3 - Sell Pressure Triggers Deflationary Mechanism: When users sell their $KLED rewards, the sell fee (exact % fee TBD) kicks in. Sell fees fund treasury buybacks / burns. As a result, selling pressure ironically strengthens the tokenomics through deflation
> Step 4 - The Loop Begins:
More enterprise revenue → More $KLED purchases → Higher token price
Higher token price → increased user rewards, and value appreciation for existing token holders → More quality uploads
More quality uploads → Better datasets → More enterprise revenue
User sells → Deflationary pressure → Reduced supply → Higher price for remaining holders

Investment Recommendation

Strong Buy/Increase Position: Product-market fit achieved on both sides of the marketplace with sustainable unit economics and clear path to ecosystem and mindshare dominance.

Key Catalysts:
> Major AI lab partnership announcement (currently in "final stages")
> Additional enterprise contract announcements
> 1M user milestone progress updates
> Viral marketing campaign (3 trailers, 200 creators, 250k budget) expected to begin soon, led by @PJaccetturo

The Context Revolution thesis remains in place. KLED is not just a speculative bet on future AI data needs - it's a profitable business with proven enterprise demand and a scaling consumer base.

[Memetic Research Group (MRG) @mrgintel]

$KLED: Supplying the AI Data War

What is KLED?

KLED (~$17m MC) is building the data marketplace for the next generation of AI training - data with multimodal context that only humans can provide. While Scale AI made billions labeling basic objects ("this is a ball"), KLED captures the story behind the data that AI can't figure out alone.

The potential game changer: Modern AI models already know a ball is a ball. What they can't learn is WHY the ball is bouncing, WHO threw it, WHAT the crowd yelled, or HOW windy it was. This contextual data lives only with the person holding the phone.

How KLED Works:

- Users upload their personal content (photos, videos) with rich context
KLED's tools help attach the "missing story" - sound, GPS, intent, emotion, backstory
- AI companies buy this contextually-rich data that's impossible to get any other way
- Content creators get paid in $KLED tokens for providing unique human insights
- Example: A family Thanksgiving video isn't just "people eating dinner." With KLED's tools, the uploader adds context: "Mom and Sis just argued (why everyone's eating slowly), turkey's burned on the back (why nobody touches it)." This human context is gold for AI training

Founder Profile: Avi Patel (@avipat_)

- 2-time founder with 1 exit at age 18
- Unique background: College dropout from University of Illinois, now based in Beverly Hills, 2400 rated chess player, former top tennis player
- Current companies: Nitrility (“world's first music licensing marketplace working with over a billion $ in assets from 80,000 rightsholders"; estimated $10m-$30m valuation), and KLED. KLED appears to be a platform under the Nitrility umbrella. Both are focused on IP / data licensing but serve different markets
- Side note: we also like Avi's posting style on X. He seems to be the right mix of ambitious founder and internet native witty bullposter that Crypto Twitter likes. We can see him building and leading a strong cult community around KLED and its token

Why It Could Be Big

We're in Phase 4, the “Context Revolution” of the AI Data Wars (credits to @jeetsbynav for his original thesis on the data wars):

- Phase 1: Big AI companies used their own data (Twitter for Grok, YouTube for Gemini, web scraping for ChatGPT)
- Phase 2: Legacy companies with valuable datasets started licensing (Shutterstock's 6-year deal with OpenAI, Photobucket's 13 billion photos/videos)
- Phase 3: Individual creators monetize their personal data (for example your camera roll could be worth $0.10 per image, $1-4 per video, $100+ per hour of film)
- Phase 4 - The Context Revolution (KLED's Innovation): Why Scale AI ($13.8B valuation) is Becoming Obsolete: Scale AI made billions hiring people to draw boxes around objects 10 years ago. Today's AI models already know basic object recognition. OpenAI, DeepMind, Anthropic have their own auto-labeling - they stopped paying Scale.
- The New Gold Rush is Multimodal Context: AI can see a ball but can't understand WHY it's bouncing or WHO threw it. The real value is the human story behind the data - emotion, intent, backstory. Only the person holding the phone knows the full context
- This creates the one of the most valuable datasets on the internet if KLED cracks the UX

The KLED Opportunity:

- Perfect Timing: Positioned beyond the AI Data Wars into the Context Revolution
- Massive Potential Moat and Network Effects: Only humans can provide contextual understanding of their own experiences - this is un-automatable. The more users add context, the more valuable the dataset becomes, creating compounding value
- Active High Level BD: Avi's teased his calendar showing direct meetings with OpenAI and Google DeepMind, demonstrating enterprise-level engagement and interest
- Technical Innovation: Building UX tools to make adding multimodal context simple and scalable. If they crack making context addition simple, it creates network effects and potentially the most valuable dataset on earth
- Flywheel Tokenomics: Avi has demonstrated desire to provide value back to token holders. Already using trading volume fees to fund $500K in periodic buybacks (~$50K already executed). Future buybacks can be funded by a combination of trading volume fees and product revenue
- Web2 Investor Interest: Accredited traditional investors have deployed $50K alongside the team buybacks. KLED team “staked” their own equity to bring in these investors, showing real skin in the game
- VC backing from K5 Global, who have invested in XAI, Coinbase, Uber, SpaceX, etc

Bottom Line

KLED is positioned at the center of the "AI Data Wars" - the transition from free public data to premium licensed content. The thesis about personal data becoming more valuable than human labor is compelling and somewhat dystopian, but likely accurate.

If the thesis is right, and Avi and team continue to execute, KLED could be massive as it enables the monetization of personal content that AI companies desperately need. We see near term speculative upside to $35m-$100m, with expansion beyond $100m with catalysts such as the announcement of an enterprise contract signed with a OpenAI / Google / Anthropic etc.

[Memetic Research Group (MRG) @mrgintel]

@avipat_ cc: @MiyaHedge @0xDamien @pugsandtrades @blknoiz06 @rasmr_eth @jeetsbyNav @mynt_josh @chamathsintern

[Memetic Research Group (MRG) @mrgintel]

@adamcreates_ @solana Twitch Kickstarter Nasdaq 😉

[Memetic Research Group (MRG) @mrgintel]

@Sanderandersenn ACCELH100RATE

[Memetic Research Group (MRG) @mrgintel]

@GeorgeAtlanMail Yes, they mentioned on their spaces this morning that this is something they're thinking of doing in the longer term (1-3 yrs). Could be big if they become the Lightning infra provider for the emerging TC ecosystem

[Memetic Research Group (MRG) @mrgintel]

@QwQiao https://t.co/ApWj7iN4f1

[Memetic Research Group (MRG) @mrgintel]

https://t.co/XriWc0mS5I

[Memetic Research Group (MRG) @mrgintel]

@DrBitcoinM50862 Great thread 👏

[Memetic Research Group (MRG) @mrgintel]

@Bigpicture123 Ah thanks for the catch!

[Memetic Research Group (MRG) @mrgintel]

LQWD: Struck by Lightning

Investment Thesis

Liquid Technologies (TSXV: $LQWD; OTC: $LQWDF) offers early exposure to the emerging Bitcoin treasury company trend through a BTC-native operator with proven resilience. Unlike recent opportunistic entrants, UTXO-backed LQWD has held Bitcoin through a full market cycle and operates complementary Lightning Network infrastructure. Clean balance sheet, attractive market premium, increasing institutional attention, and experienced leadership provide optionality for rapid treasury scaling.

Company Overview

Canadian Bitcoin infrastructure company transitioning to treasury-focused strategy. Holds 166 Bitcoin with Lightning Network operations (operates over 20 global Lightning nodes which generates yield in BTC from routing fees) providing technical differentiation. Founded 2019, public since 2021, and survived 2022-23 bear market without selling Bitcoin.

Investment Highlights

1. Credible Bitcoin Leadership

CEO Shone Anstey @shoneanstey is a veteran of both internet infrastructure and Bitcoin, active since 2012. He co-founded blockchain analytics firms and previously ran one of Canada’s largest crypto exchanges. In April 2025, LQWD appointed Coyn Mateer @CoynMateer (UTXO) as a director, adding capital markets strength and BTC-native alignment.

2. Bitcoin-Native Resilience

Founded in 2019, LQWD has held BTC through bear cycles and was not a late-cycle entrant. Its Bitcoin holdings were built through public equity raises and strategic treasury strategy, not opportunistic pivots. This history signals long-term conviction.

3. Lightning Network Synergy

LQWD operates 20+ Lightning Network nodes and earns routing fees denominated in sats. Participation in Lightning requires Bitcoin as collateral for channels, creating structural BTC demand. This provides both technical and operational synergy with its treasury model.

4. Clean Balance Sheet and Aligned Incentives

LQWD currently holds 166 BTC, carries no debt or convertibles, and has room to strategically raise capital. The CEO has invested >$500K personally and draws no salary, and UTXO Management has taken a material stake, signaling strong shareholder alignment.

5. Market Recognition Emerging The stock has rallied >150% since Mateer’s appointment, with volume now above 100K shares/day on TSX and OTC. Institutional visibility is nascent but accelerating.

Key Metrics

BTC Holdings: 166
BTC NAV: $17mm
Market Cap: $70mm MC
mNAV: 4.1x
BTC Yield (Annualized): 17.7%

Conclusion

LQWD isn’t a trend chaser - it’s an established Bitcoin-native operator with a differentiated model. With a healthy market premium (4x mNAV), first-mover advantage in Canada, and increasing retail and institutional attention, LQWD is positioned as a potential breakout treasury play. If management starts to execute promptly and effectively on capital raises and BTC purchases, starting the flywheel, lightning is primed to strike.