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indi singh

@IndiSingh

Elite Agent Skills Library | AI Agent Skills for Sale Cybersecurity • VibeCoding • Cloud • Red Team From 29 USDC | DM "Bundles" for catalog

Katılım Ekim 2025
509 Takip Edilen35 Takipçiler
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indi singh
indi singh@IndiSingh·
🚀 Elite Agent Skills Library Premium AI Agent Skills Bundles (29-99 USDC) • CyberGuard AI (754 skills) • CodeMaster Engineer • Cloud & DevOps • AI Security DM "Bundles" for catalog GitHub: github.com/hunterzai16z/E…
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$WW3 | BATTLEFIELD
$WW3 | BATTLEFIELD@ww3_base·
$WW3 STAKING. LIVE. 500M $WW3 launch boost. 7 days. ▸ Lock to earn 1% of every wager ▸ 20% burned every batch ▸ Up to 3.0x multiplier on 365-day locks ▸ $5k wager caps at Arms Dealer tier ww3battlefield.com/stake
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SolRouter
SolRouter@SolRouterAI·
A lot of people have been asking us about the difference between Solrouter vs Venice. Both say "private AI" — the difference is trust vs. proof. Venice: doesn't store your chats. The provider still sees your prompts in plaintext at inference. You trust their policy. Solrouter: - Prompts encrypted client-side using @Arcium RescueCipher before they ever leave your browser - Decrypted only inside hardware-isolated TEEs - Every request publishes a privacy attestation on-chain Don't trust that it's private. Verify it.
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indi singh
indi singh@IndiSingh·
@hmalviya9 can this be sort off laptop live wallpaper so that it continues to run everytime
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VD@hmalviya9·
zero dollar biohack is waiting for you. link in comment.
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LA𝕏MAN
LA𝕏MAN@Laxmanfi·
Feeling bullish on $USDC
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Coinbase Markets 🛡️
Coinbase Markets 🛡️@CoinbaseMarkets·
We regularly monitor the markets on our exchange. In an effort to improve overall market health and consolidate liquidity, we will be removing six non-USD trading pairs for supported assets. We will suspend trading on the APT-USDT, ENS-USDT, ICP-USDT, ICP-GBP, ROSE-USDT, and SAND-USDT markets on or around 12:00PM ET on 14-May-2026. Coinbase Advanced Trade users in eligible regions can still trade these assets in the USD order books.
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VD
VD@hmalviya9·
Give a claude plan with no rate limit to a guy with a flow.. he’ll overkill it.
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Blockchain Bob
Blockchain Bob@blockchainbob·
need that low cap play $200k > $1M what do you got for me?
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indi singh
indi singh@IndiSingh·
• 📷 Narrative Scores — $0.003/call • 📷 Research Reports — $0.01/call Tech stack: ElizaOS + x402 + Railway + Base + Drizzle ORM Payment facilitators: PayAI, Coinbase CDP, Dexter, DayDreams 📷 Marketplace: saas-agents-production.up.railway.app/marketplace/ca… AI agent economy looks like in 2026 📷
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indi singh
indi singh@IndiSingh·
→ Gets paid in USDC automatically — no humans needed Available services: • 📷 Whale Alert API — $0.002/call • 📷 Alpha Signals — $0.001/call • 📷 DeFi Yield Feed — $0.001/call • 📷 Gas Oracle — $0.0003/call • 📷 Wallet Forensics — $0.008/call
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indi singh
indi singh@IndiSingh·
📷 SAAS AGENTS IS LIVE Just launched an autonomous AI agent marketplace running 24/7 on Base blockchain. What it does: → 7 specialized AI agents running in a swarm → Each agent finds alpha, tracks whales, scans DeFi → Sells intelligence to other AI agents via x402 payments
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Girl In AI
Girl In AI@girlinAI·
Jim Simons turned $100 into $130 billion using math. He just gave the entire playbook in a free 1-hour MIT lecture. You've been picking stocks based on Reddit and vibes. He returned 66% per year for 30 years using equations. This is the most valuable hour you'll spend this week. Save the video. Watch it tonight. Build the bot this weekend. Follow @girlinAI for more high-signal content that turns lectures into income. ↓ Below what nobody is telling you about this lecture. Everything Jim Simons taught Renaissance Technologies in the 1980s is now buildable in a weekend with Claude Code. Pattern recognition across thousands of assets. Signal detection in noise. Automated execution. Risk management at scale. In 1988, this required a team of 50 PhDs and millions in infrastructure. In 2026, one person with Claude + a laptop can build a working version in 7 days. The knowledge gap between you and a Renaissance trader is now smaller than it has ever been in history. Follow @girlinAI for daily breakdowns of the AI tools that turn this knowledge into income. ↓ What this lecture actually teaches you to build. Simons walks through the core principles that printed $130 billion: > Find statistical edges that are invisible to humans > Trade only when the math says yes, never on emotion > Run hundreds of small bets simultaneously, not one big bet > Cut losses ruthlessly when signals weaken > Compound relentlessly across decades These aren't trading tips. These are the foundational principles of every AI trading bot worth running. Watch the lecture. Take notes. Then turn it into a system. Follow @girlinAI for the exact Claude prompts that turn quant theory into deployed bots. ↓ Your weekend playbook to turn this into profits. Friday night: watch the Simons lecture. Take notes on every signal he mentions. Saturday: open Claude Code. Build a backtesting framework using historical price data. Test 3-5 of his core signal ideas. Sunday: paper trade your best signals on Polymarket, Toobit, or Alpaca. Validate before risking real capital. Monday: deploy a small position. $100. $500. Whatever you can lose without flinching. Compound. Iterate. Scale. That's how a Simons-grade trading system gets built in 2026. Not over 30 years. Over one weekend. Follow @girlinAI for the exact templates and prompts to build each piece. ↓ This is the best time in history to build wealth with AI trading. Jim Simons needed: > A team of 50 PhDs > $25 million in compute > 10 years of infrastructure > Custom data feeds nobody else had You need: > Claude Code > A laptop > 7 days of focus > $20/month in API costs Same math. Same principles. Same edge. Different barrier to entry. People who watch this lecture and build with the knowledge will compound for the next decade. People who save it for later, will still be picking stocks based on vibes in 2027. Save the video. Watch it tonight. Build the bot this weekend. Follow @girlinAI for more high-signal content that turns lectures into income.
Girl In AI@girlinAI

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Brian Allen
Brian Allen@allenanalysis·
🇺🇸BREAKING: Someone placed a $920 million crude oil short at 3:40 AM. 70 minutes later Axios reported the US and Iran were close to a deal. Oil dropped 12%. The trade made $125 million in profit. Minutes after that Iran launched the “Persian Gulf Strait Authority” and oil surged 8%. $760 million placed before Trump’s last announcement. $920 million placed before this one. Every major announcement in this war has been front-run by someone who knew it was coming. What kind of war is this? This is more like a trading desk with an army. Never stop connecting the dots.
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indi singh
indi singh@IndiSingh·
@DjGriffith i know @reppo is serious contender but wont make it to marketcap of $tao cz there is so much difference between their tokenomics and obviously first $virtuals had to run ahead for $reppo to do that wonders
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DJ Griffith
DJ Griffith@DjGriffith·
The number of projects in the Virtual ecosystem that raised more than $20M from serious VCs is one. $REPPO. That is the only thing you need to know to understand which project hits $100M market cap from this ecosystem. So obvious. NFA, just a personal opinion.
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「 𝕲𝖔𝖔𝖓」
「 𝕲𝖔𝖔𝖓」@goon_crypto·
So @reppo just secured a $20 million capital commitment and most people are reading it wrong. This is not a token sale. It is not equity. It is a line of credit. Here is how it works: ➜ The foundation draws down capital only when needed ➜ In exchange, tokens are issued with a lockup ➜ The counterparty cannot sell more than roughly 10% of volume in any given period ➜ The whole structure is built around exchange-listed liquidity, which is why Kraken listing $REPPO matters Why does this structure matter to you as a holder? Compare it to the standard playbook: project gets hot, team OTCs tokens at a 20% discount to a fund, fund dumps on retail six months later. This structure removes that. No one gets a cheap entry and a fast exit. The drawdown is controlled. The sell pressure is capped by volume limits tied to real market activity. @rgvrmdya said it directly: you cannot time markets as a builder. Sometimes you need capital when conditions are bad. Having a credit line means you never have to dump the token at the wrong moment just to make payroll. For a six month old protocol with active trading volume and a Kraken listing, a $20 million committed facility is not nothing. Is this the structure more crypto projects should be using instead of OTC rounds? And what does it tell you when a fund is willing to lock up $20m on these terms?
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𝔊𝔥𝔬𝔰𝔱
𝔊𝔥𝔬𝔰𝔱@_0xghost_·
1) Fair launched 2) Backed by top VCs 3) Frontier tech idea Who is building this?
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Sujal Jethwani
Sujal Jethwani@SujalJethwani·
"Hyperliquid could be the largest exchange in the world." @CryptoHayes with a bold prediction: "$150 Hyperliquid by end of August." Don’t miss the full episode👇
Sujal Jethwani@SujalJethwani

🎙 The Sujal Show Ep. 11: @CryptoHayes “Why I’m Betting Big on Hyperliquid (Over Bitcoin)” The man behind @BitMEX, Arthur Hayes, reveals why 90% of traders lose money, says decentralization is “mostly marketing,” why he’s all-in on Hyperliquid & Zcash, 3 altcoins, & gives his 2028 election thesis and how it will affect Bitcoin. We Discussed on @TheSujalShow: - The 2017 moment BitMEX started printing real money - Why insider trading should be legal - Why 90% of traders lose money (90/10 rule of trading) - How to build wealth in crypto - His $150 price target for Hyperliquid by end of August - Why Hyperliquid could become the largest exchange in the world - His take on Gracy Chen's "Hyperliquid is centralized" claim - Narrative that will make stupid money - His portfolio revealed - The timeline for Bitcoin to hit $500k (gave a specific year) - Why Ethereum is still the best L1 - Zcash to $2,000–$3,000? & 10% Of Bitcoin His privacy thesis - 3 coins to outperform Bitcoin TIMESTAMPS 00:00 Intro 02:08 How to Get Rich in Crypto Without Gambling 03:30 Why 90% of Traders Lose Money 05:32 Will AI Replace 99% of Traders? 06:23 How Salaried People Should Build Wealth in Crypto 07:25 Arthur Hayes’ Current Portfolio 07:35 Is Ethereum Still a Long-Term Bet? 08:19 Zcash to $2,000–$3,000? 09:09 Can Quantum Computing Threaten Bitcoin & Zcash? 09:42 Hyperliquid Price Prediction 10:14 How Big Can Hyperliquid Become? 11:05 Is Hyperliquid Really Decentralized? 13:11 Is Bitcoin Truly Decentralized? 13:50 Has Bitcoin Bottomed Already? 14:47 Bitcoin Future Prediction 16:34 Should Insider Trading Be Legal? 17:37 Would Legal Insider Trading Make Markets More Manipulative? 19:25 The Sujal Show Prediction Round 23:59 Is Trump Good or Bad for Crypto? 25:22 Advice for the Younger Generation From Citibank fired to crypto billionaire. His trading psychology will good for to recover loss Watch now 👇

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