BaseMessiah

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BaseMessiah

BaseMessiah

@0XBaseMessiah

@Base-inspired anon. On-chain operator. Tracking narratives & token math. | @Paradex | Always NFA.

Blockchain ₿Ξ Katılım Ekim 2024
62 Takip Edilen249 Takipçiler
BaseMessiah retweetledi
Roman.DIME
Roman.DIME@kuzanroman·
💥13 days after TGE — and it’s been a mix of emotions highs and lows. But one thing is clear 👉 we keep moving forward. 🚀 Here’s what we’ve achieved in just 13 days • 16M $DIME tokens bought back • 1.7М @paradex buybacks 😎 • 14.1 М @tradeparadigm buybacks 😎 • 1.6% of total supply • 5.5% of circulating supply And that’s just the beginning. We’ve also • Secured listings on @MEXC_Official , @JupiterExchange , @solana & @HyperliquidX • Completed a full expense review to strengthen future buybacks • Rebranded Paradex Eco → @dimetvhq Personally, I love the direction we’re heading. Sure, skeptics will say it doesn’t matter because the token is still at the bottom.🙄 But the real question is — how long will it stay there? 😏 We’re building. And we’re not slowing down.
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Paradigm@tradeparadigm

Paradigm has acquired 14M+ $DIME (~5.5% circulating / ~1.4% total supply) in the past 1.5 weeks via open market purchases and will continue to support Paradex and $DIME, including by periodically acquiring $DIME. Combined with the DIME Assistance Fund, 16M $DIME (~6.3% of circulating / ~1.6% of total supply) has been bought back since TGE. All buybacks can now be tracked on app.paradex.trade/dime-fund

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Jeremy
Jeremy@jeremyct·
Replied over 500 times today and I gained over 250 new followers. Do you understand? Reply guy meta ain’t dead, lock in
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Simon Dez
Simon Dez@SimonDezX·
we went from 2 hours to launch a clipping campaign to 2 minutes and the quality got better made the decision to systemize everything and this is whats started to happen in matter of days : 🟥 recruiting system we're getting 20+ creator applications weekly now without paid ads the funnel is automated, vetting happens in 48 hours, onboarding takes one call 🟥 campaign workflow used to take 2 hours to launch now we ship in minutes because every step has an SOP i dont have bottle necks and no more guessing 🟥 content distribution proxy setup is dialed in US IPs for every account, multilogin keeping everything clean, RPMs are where they should be 🟥 data we're not just posting and moving on every clip feeds back performance data, we know what hooks work, what retention looks like, what drives action this didn't happen overnight it's weeks of building, testing, breaking things, fixing them now the rhythm is tight and the machine feels dialed in
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BaseMessiah retweetledi
Satirical Footy ∞ ™
Satirical Footy ∞ ™@SatiricalFooty·
🚨| BREAKING: Mikel Arteta set to activate a bizarre clause in Jurrien Timber’s contract to sign his brother Quinten Timber ahead of Leverkusen tonight. Arsenal reportedly plan to fund the deal using their projected $1 BILLION Kalshi bracket winnings.
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Kalshi Sports@KalshiSports

As we wait for Champions League Football (Arsenal 25% chance to win it all), check out this CRAZY opportunity: Win $1 Billion if you build a perfect March Madness Bracket! Free to enter at kalshi.com/billion

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ArcX
ArcX@arcxtrade·
It's Monday. The ArcX waitlist is live ✨
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Satirical Footy ∞ ™
Satirical Footy ∞ ™@SatiricalFooty·
Football already solved this argument. Two tackles can look the same. But every fan knows one was clean and the other was reckless. Context changes everything. Apparently AI systems still struggle with that. HydraDB raised $6.5M to deal with it. SMART
Nishkarsh@contextkingceo

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

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PERPTools
PERPTools@perptools·
Want to earn more points? Go for a shot at the Mystery Pool. How it works: 🔹 A secret task changes each week - any type of action on our platform. 🔹 Guess right and complete it to earn part of a weekly 50K pool distributed each Friday. Stay active for the best chances!
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BaseMessiah retweetledi
Satirical Footy ∞ ™
Satirical Footy ∞ ™@SatiricalFooty·
Hi @Premium, following up on support ticket PSDM-683710. I’d really appreciate if the team could review the case ASAP. Thank you.
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