I know you haven't been making money in recent months. Or at least not enough, I'm sure.

You know the market has changed a lot. But based on my feelings, analysis, and experience, we'll soon be making a lot of money in ETH by getting in early with some really good projects.

You're not the only one losing. Almost nobody in this space, including many of my KOL friends, is having hard times to make money.

But better days are coming. Don't worry.

6x on $BABYTROLL 💥
Called at $26K —> hit $157K view

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7x on $BABYTROLL 💥
Called at $26K —> hit $181K view

🤖 Trade on Maestro | 📊 Open in Telemetry

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He give us next narrative? DUMACRATS?

Yo mf u holded? saw your launch. bye little jeet

Lets err on the side of caution that this isn't anything related to a potential $BASE announcement

Let's instead bet that this could be a very nice QOL change to the chain itself

https://x.com/nickcryptopro/status/2053524585245552675?s=20

If for whatever reason it is some sort of $BASE news, that would be pretty fucking insane...

8x on $BABYTROLL 💥
Called at $26K —> hit $237K view

🤖 Trade on Maestro | 📊 Open in Telemetry

🚀 VIP gets the first entries — be the first. Join here.

$POD / Dolphin AI

4M+ monthly downloads on Hugging Face. The Dolphin LLM family (built by Eric Hartford / Cognitive Computations) is one of the most-used open-source model families in the world: and it now has its own token + decentralized inference network

Who's backing & talkinga bout it
— a16z funded the original Dolphin training compute
— Marc Andreessen has personally endorsed Dolphin multiple times. May 2026: NYT-style piece covered Marc using Dolphin as his personal chatbot
— Erik Voorhees / Venice (VVV), Dolphin built the model that IS Venice's default product
— Bindu Reddy (Abacus AI) publicly called Hartford "one of the most prolific open-source AI contributors"
— vitalik spoke about it, uses it

why's it so big
— Dolphin-Mistral-24B-Venice-Edition = the default model on Venice.ai ("Venice Uncensored")
— Venice does 1M+ daily API inference requests
— Venice (VVV) market cap is 10–15× larger than POD's
— POD is the upstream model provider for VVV's flagship product, at a fraction of the valuation

new stuff
— Venice Uncensored 1.2: vision support, 4× larger context, stronger tool-use
— Trained on Targon (Bittensor Subnet 4), 1,500+ H200s, $70M+ NVIDIA hardware, 20B+ paid inference tokens/day. $TAO exposure baked in
— OpenRouter integration: free tier = viral developer distribution
— 2.2% censorship refusal rate vs 71% Claude / 64% GPT-4o-mini. Most uncensored production model in existence.

Peer-to-pool decentralized inference. Gamers/GPU owners stake POD, serve inference, earn POD. Unlike Akash or io.net (rent-by-session), nodes can join/leave freely.
— V1 live since October
— V2 launching in 4–6 weeks: enterprise GPU batching + public API
— Roadmap: image, video, audio, Whisper transcription, distributed RL training, synthetic data engine, *ame-dev SDK for in-game AI NPCs
— Even CPU nodes can earn POD via web scraping work

in development, Dolphin X1 235B (Qwen3 base) and Dolphin X1 405B (Llama-3.1-Tulu-3 base), competitive with frontier-class open models.

tokenomics of $POD
— Supply: 500M
— Mcap: $35.9M | FDV: $56.8M
— Top-2 wallets = locked contracts (88.8%), supply is genuinely thin
— Real liquid float ≈ 50M tokens
— only on Uniswap, Base & LBank

market context:
AI inference TAM going $106B (2025) → $255B (2030)

Compare POD ($36M) to: Bittensor (multi-B), io.net (hundreds of M), Akash (hundreds of M), Render (multi-B), Aethir (hundreds of M). 1–2 orders of magnitude smaller than every comp.

tldr:
— Real founder (Hartford)
— Real product (4M+ monthly downloads = real users right now)
— Real upstream relationship to a $500M+ token (VVV)
— Real Bittensor exposure (Targon)
— Real Marc Andreessen mindshare
— Real network shipping (V2 in weeks)

At $36M mcap with this stack, the asymmetry is obvious