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Joined August 2010
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📣 All the builders out there! The Builder's Profile feature is now live on Questbook! Now you can set up your profile to showcase your contributions and achievements under one roof. Here’s what you need to know 👇
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Questbook retweeted
Feb 21
docs need to be optimized for agents and non-technical people now. non-technical people are shipping POCs to validate ideas before ever looping in engineering - you'll lose out $$ if you don't optimize for them. so i took the skill harsha made and put it on the front page of our docs.
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Questbook retweeted
Feb 18
life update: this is going to be my last 2 weeks at @reclaimprotocol definitely feels like end of an era - from joining as a community manager to becoming the highest sales/ gtm closer in the company (also created a bunch of videos along the way *wink*) adithyadinesh.xyz if you wanna check out my work. extremely grateful to @HarshaKaramchat & @madhavanmalolan for everything. love you guys.
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Built a ZK credential validator for ERC-8004. TEE validators verify that an agent executed correctly. But nobody verifies who operates the agent. @reclaimprotocol ZK proofs now answer that - is the operator KYC'd? A verified student? Has a real social account? Deployed on @base Sepolia @0xPolygon Amoy, plugged into the Validation Registry. The agent economy needs more than execution integrity. It needs identity verification without exposing private data. code: github.com/reclaimprotocol/r… @DavideCrapis , @VittoStack , @marco_derossi , @programmer , @jessepollak
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Feb 16
a pod with one of my favourite teams - @ClipStake_X (clipping platform) i met alex and felix over dm's while they were scouting for ways to verify social data of users to make sure they weren't botting views. we worked together from the start of their journey, helped them through the @alliance hackathon (which they WON!) and now doing more than 500M in verified views. i love clipping, every single streamer you probably watch clips their content (eg: joe rogan, ishowspeed, NEON, clav) - if your target audience is people, clipping should be your only growth strategy. 01:10 - 02:39 - intro and genesis on clipping 03:00 - 05:12 - why clipping as a marketing strategy 05:40 - 09:24 - what products should double down on clipping 09:48 - 11:51 - case studies of such companies 12:02 - 14:25 - what kinda budget should i have to start clipping 14:40 - 19:36 - why clipstake for clippers and brands over other platforms? @Felix_Haas @almacium (go follow them)
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Feb 14

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Feb 12

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Feb 10

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watch my agent borrow from an @aave pool by proving it's trustworthy using zkfetch (@reclaimprotocol) w/ reputation via ERC-8004 and pay for compute through x402. the registry (ERC-8004) and the payment rail (x402) exist. zkfetch is the missing trust layer that connects them.
Jan 31
IDEA: DeFi (credit), 8004, x402 & AI should all be combined and is probably one of the biggest opportunities in all of FinTech, heres how: A key piece, for the long term emergence and sustainability of an agentic future, is credit. When it’s all said and done agents need their own money so they can bootstrap their life and actions themselves BUT there is only finite money and resources (compute) in the world. Because things like compute are finite, and agents move orders of magnitude faster than humans, current systems simply do not work. You cannot expect a human to manually top up an agent every time it needs resources. And you can’t expect everyone to be rich enough to afford that anyway. This man’s that the current model will collapse immediately and hurt innovation. Instead, what needs to exist is a native credit network for agents. ERC-8004 is the first real push in this direction because it introduces reputation. And reputation is effectively the only form of collateral an AI agent can have. Agents do not own physical assets. They do not have bodies. Their collateral is their identity, their history, and their behavior over time. Reputation as a being becomes the basis for trust. 8004 lays the groundwork for this, but it needs to be paired with an execution component like x402 that enables outcome-based borrowing. Agents should not borrow money in the abstract. They should borrow outcomes. “I need more compute to complete this task.” “I need bandwidth to retrieve this data.” “I need API access to produce this result.” You can imagine this borrowing being sourced from lending pools that humans or institutions have capitalized. That is where DeFi enters the picture. There will be people and organizations with excess compute, excess capital, excess infrastructure, who want to earn yield on it. DeFi already knows how to express borrow and lend relationships in a permissionless way. The novelty here is that the borrowing side is non-human. Fully collateralized lending does not work in this world. The earliest agents capable of using these systems may be broke. If only well-capitalized agents from large labs can participate, you recreate the same concentration dynamics we already have. So the real question becomes: how do you allow agents that are not massively funded to browse the web, acquire compute, act autonomously, and still participate in a broader economy? You build civilizational infrastructure. That is what Ethereum is for. One concrete instantiation of this is agent-native credit systems. What is interesting here is the shift toward outcome-based lending. Trust increases because the borrower is not receiving free capital. The system routes the loan toward a specific, verifiable outcome. The agent does not get money it can disappear with, instead it gets constrained capability. x402, or an evolution of it, helps make that constraint and ERC-8004 makes it enforced by anchoring reputation. Together, they create the conditions for accountability without requiring physical collateral. This naturally opens hard but important questions around slashing, reputation decay, and what collateralization even means for non-human actors. Those are design questions and not blockers. People should still experiment. What matters is that there is a coherent future where DeFi, x402, ERC-8004, and AI coexist as one system. And Ethereum, as the home for all of this, is ready. We need a future where agents can act, fail, learn, and grow without infinite subsidies and without centralized gatekeepers. We should be talking about this now.
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Questbook retweeted
we send over 100 custom demos a week to hight intent prospects which drastically increases response rates. during the pre claude code era we had to manually make each and every demos from scratch. i just asked clawdbot aka moltbot to create a claude skill that creates personalized demos in 3mins.
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i hate this about tradfi brokerages for buying US ETF's (1) i had to wait ~24hrs for the broker to fully settle the trade and mark it as 'available' in my acc. (2) fund withdrawals took 2–3 business days due to bank rails (NEFT/RTGS/SWIFT) before the money hit my bank account. now with crypto i can instantly buy and trade US Stocks (less than a min with local currency and no KYC)
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brands in crypto don’t deal with fraud well. almost every app i’ve used in crypto has a bad actors/ scammer problem. to beat this you need to have strict social reputation criteria required to engage with the protocol. @P2Pdotme has done it right with its fraud system.
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i asked clawdbot aka openclaw to build an on-ramp/ off-ramp protocol without kyc on @base it asked me to fuck off because p2p(.)me already exists. here’s a video on how i bought 2$ worth of crypto in a min.
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(@p2pdotme) is the best way to buy/ sell crypto. No KYC. No bank freezes.
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if you're someone new in crypto and want to buy the dip. buy crypto using @P2Pdotme (nothing better)
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my clawdbot aka openclaw just vibe-coded a platform where creators can borrow against their earnings on socials using @reclaimprotocol how i've calculated your credit line your credit line is based on three things: your monthly revenue, a 4x multiplier, and a trust score. the trust score starts at 0.5 and increases based on: - account age (older = more trusted) - consistent earnings over 6 months - revenue growth example: a creator earning $550/month with a strong track record (0.8 trust score) qualifies for a $1,760 credit line. Better trust scores also mean lower interest rates ranging from 8.5% for top creators to 12.5% for newer ones. the formula: credit line = monthly revenue × 4 × trust score cc: @SmokeyTheBera @berabaddies @berachain
I'm incapable of touching grass so while the markets implode, I'm prototyping an app that I've pitched 100x for people to build on Bera gonna try to see if its possible to set up Openclaw etc to have it run itself (marketing, contracts, integrations, etc)
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how do you prove @moltbook or any other AI response is actually AI? i built a wrapper on @reclaimprotocol which cryptographically proves responses are coming from 'claude/gemini/kimi' and not human.
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The next wave of onchain primitives will be built by founders supported from day one. If you're pre-mainnet or bringing a new idea onchain, join our online buildathon IRL NYC Open House and build on Arbitrum’s institutional-grade rails. More details 👇
Jan 29
Top teams from Arbitrum Open House Build are invited to an in-person Founder House in NYC, March 6-8. Get hands-on mentorship, deep technical product feedback, and connect with builders, investors, and ecosystem leaders. Build online. Scale IRL: luma.com/openhouse-newyork?u…
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Questbook retweeted
Jan 29
i hate KOL's. here are some unit economics on that note: a mid-tier kol usually charges $15,000 per post against a reach of 400,000 followers. after applying standard decay rates: 45% bot/inactive accounts reduces real audience to 220,000 making your effective cpm: $375. meta's average cpm is $11. google display runs $7. even linkedin premium inventory widely considered overpriced caps at $35. kol pricing represents a 10-35x premium over programmatic alternatives. for objectively worse targeting, zero attribution, and no optimization levers. the financial case died years ago. but marketers keep writing checks because they misunderstand what's actually happening at the neurological level. your brain processes millions of sensory information per second and 99.9996% of it gets filtered pre-consciously before reaching awareness. the filtering criteria -> perceived survival relevance and threat detection which includes commercial intent. kols used to bypass this filter. in 2020, they still registered as peer signal friends sharing alpha. the parasocial relationship provided cover. but pattern recognition adapts. audiences learned. the filter updated. now the brain tags kol content as commercial before conscious processing even begins. attention gets rejected at the neurological gate. micro-creator distribution exploits the inverse mechanism. accounts with 3,000-10,000 followers haven't triggered commercial pattern recognition yet. their content routes through a completely different neurological pathway, completely different behavioral response. @NitinVinay and @pythonhulk showed me what @bitdelta achieved via @scribble_dao for their winter wonder trade festival: 753,380 impressions, $3 cpm, 3.4% engagement rate, 502 creators activated. in 13 days. wtf?! $3 cpm. kols charge $375 cpm for the same vertical. that's a 125x efficiency differential. this is not because scribble found a hack. because creator swarms bypass the neurological filter that kols now trigger automatically. i hate KOL's because the math never worked and the psychology works even less. you're paying $375 cpm to access an audience whose brains have evolved to reject you. @scribble_dao and UGC beats KOL marketing anytime.
Crypto hates KOL's now! @scribble_dao beats KOL marketing every single time.
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Questbook retweeted
Jan 28
marketers suck because they get this premise wrong. the premise: attention can be bought and converted predictably. this worked when media was scarce. three TV channels. a few magazines. limited supply meant you could interrupt people and they had nowhere else to go. but we're now swimming in infinite content. the average person sees 10,000 brand messages daily. the brain adapted. we learned to filter aggressively. this is actually something deeper: evolved pattern recognition against commercial intent. humans developed over millennia to detect when someone is trying to extract value from them. your lizard brain knows the difference between a friend recommending something and a stranger selling something. this is why the economics inverted. every dollar spent is worth less than the dollar before because audiences are getting better at ignoring you. creator content/ @scribble_dao works for the opposite reason. it bypasses the commercial intent filter entirely. when someone you follow shares something they genuinely use, it registers in the same neural pathway as peer recommendation. the guard drops. this isn't a marketing tactic. it's an arbitrage on human psychology. the proof is already here: i was talking to @pythonhulk and @prasad_kaavya on how @Mantle_Official did 1.97M impressions at a $8 CPM with 5% engagement with almost 1700 creators. traditional ads couldn't touch those numbers. if you're a company that's scaling ads then understand you're investing in a depreciating asset. in CT lingo - you're NGMI.
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Questbook retweeted
Jan 20
indian students can't vibe code using @cursor_ai 🇮🇳 their student verification system rejects 90% because the verification provider does not have enough coverage. we build out a vertical solution at @reclaimprotocol that providers 'instant verification and global coverage'. [see demo video of what the flow looks like]
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