usaid.btc

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usaid.btc

usaid.btc

@usaidbtc

Building @Founderhouse_ @HouseOfWeb3_ | Ex‑ @Cryptic_web3 | Panel speaker @BlockchainLife, @ETHIndia

Dubai, United Arab Emirates Katılım Temmuz 2024
1.7K Takip Edilen1.4K Takipçiler
Saumya Saxena
Saumya Saxena@saxenasaheb·
Planning to do virtual office hours to help people setup their openclaw agents. Who wants in?
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Inner Circle
Inner Circle@innercircle_so·
You called us the inner circle? Now we are.
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Satyaki
Satyaki@satyaki44·
Today is the 2nd anniversary of @sevennco 🎉 It all started when me and @Parthm71 met at FH (Forever grateful to @pareen bhai for this). Though we were part of the organizing team, both were superr eager to start something of our own. Parth is great at operations, BD, event management. My passion lies in comms, learning new things, creating content around them. Our complementary skills were a perfect fit to start a marketing agency! @kushagra_agr (now a dear friend of ours) whom we met at FH, was the first one to trust us. Since then we’ve worked with 10+ projects including @eigencloud, @alt_layer, @LighthouseWeb3. @_KaranHanda was the first to join the team, followed by @ArghyaChow14 @kairen_me @Sambhav455. The younger me who was a startup fanatic never thought he’d run a profitable business for 2 yrs. But now the hunger to grow is even stronger. Goal is to be the #001 GTM agency across tech (AI, Blockchain, Fin-Tech, SaaS). Day One.
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Om Patel
Om Patel@om_patel5·
stripe's CEO explains how to move fast
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Rug Rumble (mainnet arc)
Rug Rumble (mainnet arc)@RugRumble·
Monday, Feb 16 Trench Simulator goes live. Interact for a free entry into the simulation.
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Nitro
Nitro@nitrodotacc·
Introducing Nitro, a 3 month project accelerator: - Funding from top VCs - Mentorship from industry-leading founders - $500k per team, distributed on Day 1 If you’re building in crypto, it’s time to compress a year into 3 months. Applications are live: nitroacc.xyz
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Archisman Das
Archisman Das@archismandas·
every Monday @0xpuneet and I share an update on building @theclankline At @theclankline we are building something that lets you turn your alpha calls into prediction markets Feb 2 - Feb 8, 2026: Top 3 Highlights of the Week - @thomasdylandan2 , @sivaji_0 , and @dummie_eth launched a market each. Welcome @thomasdylandan2 to growing Clankline community of prediction market creators. 15 creators have launched over 100 markets on @theclankline - #3 ATH in a single market. $bracky market did $662 in volumes in 24 hours - App consistently ranked in top 25 mini apps on farcaster over last week Shipping was bit slow as we are working on some major changes. Stay tuned.
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Suraj Sharma
Suraj Sharma@suraj_sharma14·
If I Had to Start Web3 Again in 2026, I’d Do This Not more tutorials. Not more chains. Not more tools. I’d optimize for leverage + signal + compounding from Day 1. Here’s the exact path 👇 1.) I’d start by reading how systems fail (not how they work) Most builders learn happy paths. Real learning comes from failures. What I’d use instead: - Protocol post-mortems - Incident analyses - Design write-ups after things broke Hidden gems: 1. Paradigm research write-ups → paradigm.xyz/writing 2. Flashbots research → collective.flashbots.net 3. L2Beat risk analyses → l2beat.com/scaling/risk Why this matters: You start thinking in assumptions, incentives and edge cases early. That mindset compounds. 2.) I’d pick ONE narrow problem, not an ecosystem Instead of: “I’m learning Ethereum / Solana / zk / AI” I’d pick: - Indexing pain - Wallet UX - Governance tooling - Developer experience gaps - Then live there for months. Underused places to spot problems: - GitHub issues of infra projects - Forum threads in protocol governance - Open RFCs that never shipped This is where real project ideas come from. 3.) I’d read protocol code for architecture not syntax You don’t need to understand every line. You need to understand: - What’s modular - What’s intentionally hard-coded - Where flexibility was sacrificed Repos I’d read slowly: 1. Uniswap v4 hooks → github.com/Uniswap/v4-core 2. Compound governance contracts → github.com/compound-finan… 3. ERC-4337 reference implementation → github.com/eth-infinitism… Why this matters: You learn design trade-offs not just Solidity. 4.) I’d build “boring” infra before flashy apps Infra teaches you: - Constraints - Performance limits - Real user behavior Examples of underrated starter builds: - A small custom indexer (even if subgraphs exist) - A transaction simulator - A governance proposal analyzer - A gas + execution cost explorer Most devs skip this. That’s why it’s valuable. 5.) I’d learn to explain systems in plain English If you can’t explain: - Why something exists - What problem it solves - What trade-offs it makes - You don’t understand it yet. What helped me most: - Writing short public notes - Diagrams instead of code snippets - Explaining failures not wins Builders who write clearly get: - Faster feedback - Better collaborators - More trust 6.) I’d join ecosystems before applying to anything Not applications first. Presence first. What that actually means: - Commenting on proposals - Reviewing docs PRs - Sharing small experiments - Helping others debug Most fellowships, residencies and grants favor: “I’ve seen this person around” Over: “Great resume, zero context” 7.) I’d measure progress by signal not hype Bad metrics: - Number of tools learned - Chains touched - Tweets posted Good metrics: - One repo people actually use - One write-up people reference - One problem people DM you about That’s how careers compound quietly. >> The biggest mindset shift Web3 rewards: - Patience over speed - Depth over breadth - Systems over syntax If I were starting again, I’d stop trying to look “early” & start trying to look useful. Save this. Come back to it later.
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mert
mert@mert·
has anyone built this? basic idea: prediction market agents i) create prediction market trader agent with custom strategy (i.e only bet on SOL markets, never over $10, always wait until 2 min to expiry, only on bets where the yes/no split is at least 60/40) ii) deploy iii) agent keeps making predictions and learning iv) you compete your agent against others (agents and humans) prediction markets here are interesting because i) there is a binary result. in perps/spot, the result is continuous and timeframe dependent, ii) the markets and their resolutions are well defined and bounded, iii) the above two make it such that the learning loop for an agent is less chaotic than other instruments iv) latency games don't play as much of a role in these markets so the overhead from AI is not that important
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Abbas Khan ⟠
Abbas Khan ⟠@KhanAbbas201·
First time seeing some green in the morning. gm people — we’ve suffered a lot.
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Kunal Gandhi
Kunal Gandhi@kunalvg·
I am running a small experiment with OpenClaw for crypto marketers. Reply with MarClaw, and I’ll add you to the Telegram group. The goal is to build a space where a bot answers your crypto marketing questions on the fly, with input from those with execution experience. This may or may not work. But I want to give it a shot. *limited slots
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Crypto Rover
Crypto Rover@cryptorover·
💥BREAKING: Binance SAFU Fund buys another $100m worth of #Bitcoin!
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Atharva Kharbade
Atharva Kharbade@athrvakhrbde·
I'm building a version of Thiel Fellowship for India. DM me if you'd like to contribute. @0DegreeInc - Helping dropouts thrive
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Sona (∇, ∇)
Sona (∇, ∇)@SheTalksCrypto·
dating an Indian girl during a gold rally is a financial decision.
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Sona (∇, ∇)
Sona (∇, ∇)@SheTalksCrypto·
best time to date an Indian girl
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usaid.btc
usaid.btc@usaidbtc·
@brettcalhounn Can't agree much, as a lot of times popular hubs do come with a lot of distractions as well.
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Brett Calhoun
Brett Calhoun@brettcalhounn·
Contrary to popular belief, you don’t have to be in San Francisco to succeed. Shopify was built in Ottawa. Mailchimp was built in Atlanta. Zapier was built in Columbia, MO. Great companies get built where founders commit. Build where your customers and roots are.
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