Quick question for DeFi users 👇
What is the biggest problem in DeFi right now?
1️⃣ Unsustainable yield
2️⃣ Low liquidity
3️⃣ Complicated tokenomics
4️⃣ Lack of transparency
5️⃣ Poor user experience
Reply with your pick.
The next generation of DeFi should solve real problems, not just create new narratives. ⚙️
#DeFi #Web3 #CryptoTwitter #PotsMoney
🎉 Airdrop: MarsChain (MARS)
💰 Total Reward: $100,000,000 worth of MARS tokens and hashrate
🚀 News: Listed on KTX
🔹 Download MarsChain wallet https://t.co/rDStHyOW4O
🔹 Follow on X, Like, comment, and retweet this tweet.
🔹 Join TG Group(https://t.co/3j6SZGJLhh)
send your wallet address to the group owner @MarsChainCS
📝 Note: MARS token is already on mainnet. Rewards will be distributed instantly after wallet address review. 100% Free!
@chestoai This is definitely going to be HUGE! as the team has been an inspiration in their innovative approaches towards achieving the project goals and visions.
@ChadBox9@ParveenKhatun9@Asmamoni7
Here's what you missed this week on Polygon:
■ @Mastercard launches Agent Pay for Machines with Polygon as founding partner
■ @Spiko_finance crosses $174M+ tokenized T-bills on Polygon
■ @usetoku launches stablecoin payroll on Polygon for global teams
■ @koshmoney launches USD accounts on Polygon for Asia creators
■ @Levr_Bet crosses $250K Polygon Trails volume for 1-click bet funding
■ @hexens opens Builder Support audit slots for Polygon builders
■ Polygon hits @FortuneMagazine Crypto companies top 100 list
■ @aifinpay launches autonomous AI payments on Polygon
■ @Quicknode launches 1M free RPC requests/month via x402 on Polygon
$3,381,799 has been paid to security researchers on HackenProof in 2026 so far.
Every bug found and every valid report represents an exploit that never happened.
A huge thank you to everyone who has put in the work.
Your next finding could be here ↓
#NewYork police said Sunday that 63 people were arrested overnight as unruly crowds flooded into the city's streets to celebrate the @Knicks' first #NBA championship in 53 years.
https://t.co/5HYV3M8Daj
🔸 𝗟𝗶𝘀𝘁𝗶𝗻𝗴 𝗱𝗮𝘆 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗶𝘀 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲
The first hour after a token goes live on an exchange has almost nothing in common with how that same token will trade a week later.
There is no historical order flow to reference. No established spread regime. No reliable depth signal from competing venues. Every parameter that a quoting system relies on during steady-state operation simply does not exist yet.
🔹 𝗪𝗵𝗮𝘁 𝗳𝗶𝗹𝗹𝘀 𝘁𝗵𝗮𝘁 𝘃𝗮𝗰𝘂𝘂𝗺 𝗶𝘀 𝗰𝗮𝗹𝗶𝗯𝗿𝗮𝘁𝗶𝗼𝗻 𝘂𝗻𝗱𝗲𝗿 𝗽𝗿𝗲𝘀𝘀𝘂𝗿𝗲.
The initial spread must be wide enough to absorb uncertainty but narrow enough to attract genuine price discovery. Size commitments need to start small and scale only as the book demonstrates real two-sided interest - not just bot pings testing the edges.
🔹 𝗧𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝘁𝗵𝗲 𝗹𝗮𝘂𝗻𝗰𝗵 𝗶𝘁𝘀𝗲𝗹𝗳.
A well-executed listing day doesn't mean the tightest spreads at minute one. It means a controlled narrowing over hours as volatility decays, reference prices stabilize, and the quoting engine accumulates enough microstructure data to shift into its normal operating mode.
The firms that get this wrong tend to either bleed inventory by quoting too tight too early, or miss the critical price-discovery window by staying too wide for too long.
🔹 Steady-state quoting is an optimization problem. Listing day execution is an adaptation problem. The skill set overlaps, but the instincts are entirely different.
🔍 If you Google your symptoms, we have bad news for you
🤍The bad news isn’t that you’re sick. It’s that the search engine knows absolutely nothing about you, yet still responds as if it does.
🧠 It’s not hypochondria, but it’s close
📈This phenomenon has a name: back in 2008, Microsoft researchers dubbed it “cyberchondria” — a condition where a harmless symptom found online escalates into anxiety over a rare and serious diagnosis. About one in three people who search for a symptom online unconsciously escalate their search: they start with a common headache and end up with a brain tumor.
📊 Here’s what that looks like in numbers. A 25-year-old with no risk factors types “chest pain” into a search engine. In about 37% of cases, a heart attack appears among the top results. The search engine doesn’t care that you’re 25 and ran ten kilometers this morning. It shows everyone the same thing.
⚙️ That’s the whole point: the algorithm doesn’t distinguish you from millions of other people. It doesn’t know your age, your family history, or your test results — yet that’s exactly what determines the actual probability.
📱 Specialized symptom checkers don’t fare much better. On the first try, they provide the correct diagnosis in only about a third of cases, and in some studies, the correct diagnosis went completely unnoticed in nearly 40% of cases. And this is not a rare occurrence: researchers at Imperial College London have calculated that one in five visits to doctors in Britain today is driven by fears sparked by the internet.
🧬 The difference between a search engine and Holivita
⚖️ A search engine responds to the average person. Holivita responds specifically to you, taking into account the unique characteristics of your body. The system knows your context, health data, lab results, and DNA test results that you’ve uploaded. It sees how your metrics change over time. The same symptom in two different people can mean completely different things; it all comes down to context.
✨ Anxiety often stems not from the symptom itself, but from uncertainty. And when a symptom is analyzed based on your own data, the picture stops being scary and becomes clear.
🚀 So the next time your hand reaches for the search bar, try opening Holivita instead. Here, the answers to your questions will always be about you and only you.
💚Visit Holivita https://t.co/mMKssDbkx0 to create your personal Health ID and receive clear guidance tailored to your biological context.
#HolivitaInsights