Dave

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Dave

Dave

@unseenfleet

Prev @elizaOS AI dev | Prev @enter_delta Building @convik_ai

Katılım Nisan 2026
60 Takip Edilen115 Takipçiler
Dave retweetledi
Convik
Convik@convik_ai·
Most AI investing tools hallucinate confidence. Convik shows its work: bull case, bear case, and dated facts for every position. When the evidence is thin, it tells you: "insufficient recent evidence." An agent that admits what it doesn't know. Tap any row for the reasoning.
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Convik
Convik@convik_ai·
Every index you build on Convik is private by default. Keep it to yourself, or publish it to explore where it can be mirrored by anyone with same positions, same logic, their own funds, their own custody. Follow the theses you believe in or let others follow yours
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♘ ƬΣƬЯΛ 🎗️ ◔◡◔
$Convik is building the agent intelligence layer on top of tokenized assets. When facts change (acquisition, new listing, thesis drift, grid capacity issues for AI infra, etc.), @convik_ai agents rotate holdings and writes down the exact reasoning + onchain transaction hash. Eg. It might trim exposure to platforms and rotate into power because “grid capacity is the binding constraint.” This is much more advanced than typical “AI portfolio” agents that just rebalance weights. Templates Available: Mag 7 (agent-weighted, not cap-weighted) AI Infrastructure Dividend Aristocrats Power & Grid Smart Angles Re-underwriting > Rebalancing Most agents just adjust weights. Convik actively questions and rewrites the thesis when reality changes. This is a meaningful technical edge. Mirrorable Private Indexes. The private-by-default + publish-to-mirror model creates a potential social layer without forcing shared custody. This could become powerful if adoption grows. Robinhood Chain + Tokenized Equities Timing $Convik is one of the first serious agents built specifically for Robinhood’s tokenized stocks/ETFs. Combined with @IxsFinance planned expansion to @RobinhoodApp Chain (per their H2 roadmap), this creates a natural infrastructure fit. Heavy emphasis on recording every decision with tx hashes and reasoning. This fits perfectly with regulated/compliant use cases (relevant to the IXS angle). @virtuals_io dexscreener.com/robinhood/0x1f… x.com/i/chat/group_j… community x group
♘ ƬΣƬЯΛ 🎗️ ◔◡◔ tweet media
♘ ƬΣƬЯΛ 🎗️ ◔◡◔@deepseektetra

@Chainriffs Ouuuutputting my ai to make me rich $Convik

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Dave
Dave@unseenfleet·
Today is a big milestone. Convik is now live on @virtuals_io We built Convik around a simple belief: investing starts with conviction, not tickers. The token is now live, and the product beta follows in a few days. Excited for what's ahead.
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Convik
Convik@convik_ai·
Imagine describing an investment thesis once and watching it become a living portfolio that continuously adapts as markets evolve. Tomorrow @virtuals_io @RobinhoodCrypto
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Dave retweetledi
Convik
Convik@convik_ai·
Investing starts with a conviction. Convik turns that conviction into an agent-managed portfolio of tokenized stocks & ETFs. Research. Allocation. Execution. Continuous adaptation. Here’s a look at what we’re building. More soon.
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Dave retweetledi
Convik
Convik@convik_ai·
convik early access ▓▓▓▓▓▓▓▓░░ 80% the earliest users won't just test the product. they'll shape what AI-native investing becomes.
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Dave
Dave@unseenfleet·
Everytime I explain what we’re building, I realize we’re not really building a trading product. We’re building a new interface for capital on @virtuals_io and @RobinhoodCrypto. That realization changes how I think about every product decision we make.
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Dave
Dave@unseenfleet·
@convik_ai Everything we're building at Convik started with one question: What happens when AI agents become participants in financial markets instead of just assistants? This article is our attempt to answer that question.
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Dave
Dave@unseenfleet·
I don’t think the biggest buyers of tokenized stocks will be humans. They’ll be AI agents. Humans will define the investment thesis. Agents will do the research, construct portfolios, execute trades, and continuously adapt as markets evolve. Comment "conviction" for access
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ClaraChengGo
ClaraChengGo@ClaraChengGo·
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