https://t.co/SUe42fqLqT
this is probably one of the strongest use cases for AI agents in fintech
not another chatbot sitting on top of a product, but replacing hours of repetitive compliance work while keeping the process auditable
KYC, sanctions, transaction monitoring, evidence collection all of it is expensive to scale manually
the companies that automate these workflows without turning compliance into a black box are going to be very valuable
More fintech funding!
@usefootprint raised a $25M Series B led by @QEDInvestors (doubling down, QED also led the A)
Footprint offers AI agents that investigate financial crime alerts for banks + fintechs. Their agent, Percy, runs KYC/KYB, EDD, sanctions & txn monitoring cases end to end, executing a team's SOPs & documenting every finding w/ citations + a full audit trail for regulators
No real stats on the biz from press but customers include Bilt, Nuvei, MoonPay & several FDIC and OCC-regulated banks
$45M total raised now
https://t.co/KXUEFVX6JK
https://t.co/xwW705Fja4
AI infrastructure isnt just a compute problem :3
Its a data ownership problem too
As AI scales, so does the amount of sensitive data flowing through centralized systems and concentrating all of that in a few places creates an obvious weak point
Thats why the direction we're taking at Iagon matters
Distribute the infrastructure. Keep control closer to the users. Build AI on a more sovereign foundation
I think this side of AI infra is only going to become more important
Every AI rollout builds a honey pot.
@NaVi_GaT0R, CEO at Iagon, opened with it at the @Cardano_CF stand at @EBlockchainCon in Barcelona. Data pulled into one place for AI becomes the target.
Iagon spreads it across a sovereign network.
Nothing whole to take.
Thanks to all who came by 🙏
https://t.co/EPInS4RjXB
One of the wildest fintech companies out there
They started with stocks, expanded into crypto, and now they re going after sports betting
Today they have 13 different product lines doing $100M+ a year each
Shaan probably described it best: it’s basically the ultimate app for male degeneracy
At this point, OnlyFans might be the only thing missing
Ask most providers where your data sits, and the answer arrives as a report. Written after the fact, describing what happened.
On our network the question is answered earlier. You set the conditions first — which jurisdictions are allowed, who may reach the file, what happens on access. Only then is the data encrypted, split, and placed, and only onto nodes that match what you set.
A node outside your conditions is not a violation to catch later. It never receives the file.
That single word carries the whole difference. Before, not after.
Compliance by design, not by process.
Saturday was a monster day for prediction markets
Data via @TickerTracker_:
Kalshi just printed a new daily record with $2.4B in volume $1.5B of that came from combos alone
Sports + combos made up 91% of everything traded
Looking at football singles only:
Kalshi - $330M
DKeX - $43M
Novig - $30M
Polymarket US - $29M
ProphetX - $5.6M
Rothera - $1.9M
That gap is kinda ridiculous
Still waiting on Saturday numbers from Underdog while https://t.co/IuQlHa30KB onboarding continues
State of Robinhood Ecosystem
Robinhood is running at 10M monthly active users, with $2.16B in tracked assets.
> $45.9M in cumulative fee revenue, with roughly 90% retained by the network
> Tokenized assets reached $167.8M, with stocks making up the largest share
> 190.2K holders own tokenized stocks, ETFs, commodities, and Treasuries
> Weekly fees reached $30.9M
This week brings more markets and products to Robinhood.
> @ponsdotfamily routed 65% of launchpad RWA volume through Pons over the past 30 days, while creators crossed $100M in earnings
> @longdotxyz launched OpenAI and Anthropic pre-IPO pairs through @Lighter_xyz perps, alongside AI-paired NVDA pools
> @TheIndexFi launched Blend for creating custom tokenized ETFs from selected assets
> @fablesfi generated $150K in fees over 24 hours and paid them to users
> @deltaliquidity crossed $3M in claimed liquidity rewards
> @ProjectVEXai is soft-launching 185+ protocol tools after 5,000+ agents executed across Robinhood and 40+ chains
Robinhood is becoming the home of tokenized markets.
A 19-year-old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞: @AI_creator_Yara (𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌)]
Here's how it works:
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it:
1️⃣ Comment " 𝐂𝐥𝐚𝐮𝐝𝐞 "
2️⃣ Like and Repost
3️⃣ Follow Me: @AI_creator_Yara (so I can send it via DM)
I'll DM you the complete setup.
$6 -> $2.1m
not a typo
this trader started September with basically dust in his portfolio and somehow ran it up to a $2.1M peak by september 7
wallet: https://t.co/QJmOSdLARz
30-day PnL: around +$1.7m
current portfolio: ~$1.5m
total trades: 302
avg hold: ~2 days
all of that from trading memecoins
absolutely ridiculous run
our turn soon, anon
🪶 Robinhood Daily Recap
what happened on Robinhood last 24 hours
News
■ @RobinhoodApp is taking a minority stake in https://t.co/B3qImv0Huy.
Stats
■ @NetNetCap’s Dial Up passed $95B in notional volume, with the jackpot above $7K.
■ @longdotxyz crossed $1B in tokenized-stock volume, representing 15% of Robinhood’s tokenized-stock DEX volume.
■ @ArtificiallyInu recorded $2.95M in 24H volume, $5.52M liquidity, and 40.8K holders.
■ @EARNONHOOD launched automated yield vaults for PLTR, MSTR, TSM, and SHOP tokenized stocks.
■ @ClutchMarkets launched Smart LP across 67 assets, with single-sided staking, auto-compounding, and auto-rebalancing.
Ecosystem
■ @hooddomains made every .hood domain a transferable stock account for equities, RWAs, ETH, WETH, and USDG.
■ @TheIndexFi reopened Indices with optimized rewards, more stock pairings, and audited baskets nearing release.
■ @DenarMarkets opened isolated AI markets, letting users borrow USDG against $AI with a 38.5% LLTV.
■ @Hookrfun is adding arb recapture through WhatTheHookV4, with another Hookr integration in progress.
■ @Fudarake reached CoinGecko and reported that 50% of its supply had been burned.
■ @RealNinjaCat reached a $2M market-cap ATH and entered the FunTok rankings.
■ @GoodCoinRH announced a $100 community Call of Duty Mobile tournament.
■ @flock_io published a privacy-preserving AI approach for monitoring crypto projects under proposed Regulation Crypto Assets rules.
Agents
■ @ProjectVEXai reported roughly 5,000 active agents on Robinhood and announced a deeper buildout with @dimes_xyz.
■ @MeshGateway minted 135 merchant identities on Robinhood through ERC-8004.
■ @xona_agent launched stock signals for tokenized equities, including sentiment, risk, earnings, and 7-day targets paid in USDG.
gm all :3
Hunter Biden is really turning the infamous laptop saga into a memecoin
$LAPTOP is set to launch September 9 on Base, with 1B tokens total
And the tokenomics make it even better:
→ 30% allocated to founders, locked for 6 months
→ 20% reserved for airdrops
→ part of that distribution specifically targets traders who lost money on solana:6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN
So Hunter is basically monetizing one of the biggest scandals attached to his name while airdropping tokens to Trump’s bagholders.
You genuinely couldn’t script this timeline
Be careful with copycats before launch
some guy just turned $1.5k into over $1.08M in a few hours on a fresh memecoin 😭
and the story behind it is peak crypto
AMC gets tokenized on Robinhood Chain, then ppl turn the ticker into a meme:
AMC = A Meme Coin
and somehow $MEME is born lmao
frankdegods got in basically from the beginning
$1,491 → $1,087,000
+72,830%
over $1M profit from one early entry
check it here:
https://t.co/aOBxh4VPaQ
robinhood chain is getting more unhinged by the day :p
august jobs came in nearly 3x above expectations and the market is already repricing september
odds of a Fed hike on Sep 16 just jumped to 53%
one jobs report and suddenly "higher for longer" is back on the table
september just got a lot more interesting
Polymarket gave MongoDB a 97% chance of beating its earnings target - and it did. EPS came in at $1.90 versus the $1.61 line.
Then the stock dropped 14%.
The problem wasn’t the headline result. Investors expected Atlas growth above 30%, while MongoDB reported 29%.
A correct contract doesn’t always mean a correct market thesis. PolyKlast helps track probability moves and volume spikes while the full story is still being priced in.
@PolyKlast
Polymarket Perps is live.
Up to 20x leverage on crypto, stocks, commodities, & more. Deepest liquidity, lowest fees.
Long BTC, predict the Fed, short the S&P reaction — only on Polymarket.com
👉 https://t.co/UwdkHrmEMT
https://t.co/BF9uAezXOO
Getting AI to do finance homework? Trivial
Getting it to survive real workflows? Whole different game
Ling-3.0-flash-Fin is in the trenches filings, valuation models, messy workbooks, scenario analysis, audit trails
If it holds up, finance teams won't just get a chatbot. They'll get an actual operator
Financial work depends on trustworthy sources, consistent definitions, accurate calculations and auditable outputs.
Introducing Ling-3.0-flash-Fin, a finance-enhanced version of Ling-3.0-flash, developed with financial institutions and domain experts.
With 124B total and 5.1B active parameters, it supports information retrieval, research, valuation modeling and report preparation across long reports, research materials and complex workbooks.
The model showed competitive results across FinFIRST, FinSearchComp Verified, FinCRAFT, FinanceAgent v1.1/v2, APEX-Agents, SpreadsheetBench v1/v2 and τ³-Banking.
We will open-source the model weights next week.
Most people will wait for Spain vs Saudi Arabia to start before having a take
One trader already made it a $148,000 problem
Profile: [https://t.co/pr6geysh2j]
$147,998 in
$147,909 live position
This is why I check Polymarket before kickoff
The timeline gets the highlights later
The wallets show you who was willing to be wrong first
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