Some of the most valuable feedback for any infrastructure project comes from putting the technology into real-world testing environments.
@get_optimum just welcomed @puffer_finance as a new mump2p testing partner.
For anyone unfamiliar, mump2p is the networking layer Optimum is building to improve how data propagates across decentralized networks.
Testing with teams that operate at scale matters because network performance isn't something you measure in theory.
It has to be tested in real environments, with real workloads, and by teams that understand reliability and security.
@puffer_finance has built a strong reputation in the staking ecosystem, so seeing them get hands-on with mump2p is something worth paying attention to.
Every network can look good on paper. What matters is how it behaves when real users, real applications, and real traffic enter the picture.
Looking forward to seeing what insights come out of the testing phase and how they contribute to the continued development of mump2p.
Exploring @RedactMoney by @fhenix
Redact Money is designed to bring more privacy to onchain transactions, giving users a way to shield balances and transaction activity while interacting within the Fhenix ecosystem.
To get started, I grabbed some test ETH from: • https://t.co/STpQ54pMNt • https://t.co/7LQLc2Mvmm
Supported networks: • Arbitrum Sepolia • Base Sepolia • Sepolia
I connected my Rabby wallet, selected a network, and tested the encrypt/decrypt flow to see how it works in practice.
The process was pretty straightforward:
• Connect wallet • Choose a network • Encrypt ETH • Decrypt ETH
I recorded the entire process below for anyone curious to see Redact Money in action.
The conversation around AI is slowly changing.
It used to be mostly about what AI could say.
Now it's becoming more about what AI can do.
How agents interact with systems.
How they access information.
How they handle payments.
How they operate without constant human input.
The technology is moving beyond chat interfaces and into real-world workflows.
AI agents need infrastructure.
They need ways to coordinate.
They need ways to move value.
They need systems that allow them to operate beyond simply generating text.
That's part of what @RAFA_AI and @indexingco will be discussing.
Thursday, 17th June
3PM UTC
Should be an interesting conversation for anyone following where agentic AI is heading.
The challenge was never encrypting data.
We've been doing that for years.
The real challenge is what comes next.
How do you run computations on information that nobody can see?
How do you compare, verify, or process data while it remains encrypted?
That's the question behind Fully Homomorphic Encryption (FHE).
@fhenix comes in here. Not because it focuses on hiding data.
But because it's exploring how encrypted data can still be useful.
The ability to protect information is important.
The ability to use that information without exposing it changes the conversation entirely.
Platinum Prompt for Options Traders 👇
Here's one to copy & paste into RAFA to squeeze out the very best alpha, market insights and trade setups...
"First assess overall market context, including VIX level and trend, broader indices, sector behavior, macro factors, and any upcoming events or catalysts. matrices
Second analyze the underlying price action, key technical levels, momentum, and any relevant fundamentals or news.
Third perform full volatility analysis covering current implied volatility, IV Rank calculated as current IV minus 52-week low divided by 52-week high minus low then multiplied by 100, IV Percentile as the percentage of the past 252 trading days where IV was lower than current, comparison of IV to historical or realized volatility through the volatility risk premium, put-call skew, term structure showing contango or backwardation, and expected move derived from ATM straddle pricing.
Fourth review liquidity metrics, including bid-ask spreads, volume, open interest, and any signs of unusual options activity in the provided data.
Fifth detect and identify trade setups by matching conditions to strategies: when IV Rank or IV Percentile is high above 50 percent especially above 70 to 80 percent combined with neutral or range-bound outlook or expected volatility contraction recommend credit spreads or iron condors for selling premium with defined risk; when IV Rank or IV Percentile is low below 50 percent especially below 30 percent combined with directional bias or expected larger move recommend long calls puts debit spreads or long straddles strangles; for event-driven situations such as earnings use short premium defined-risk structures pre-event to benefit from potential IV crush or long volatility structures if the anticipated move exceeds what is priced in; exploit skew or term structure dislocations with risk reversals calendars or vertical spreads; rank any detected setups by edge using probability of profit risk-reward ratio and alignment of vega exposure with the volatility outlook.
Sixth conduct quantitative evaluation of any proposed or detected trade by calculating or estimating maximum profit maximum loss upper and lower breakeven points approximate probability of profit and expected value, net position Greeks including delta gamma theta vega and relevant higher-order Greeks such as vanna for delta sensitivity to volatility changes vomma for vega sensitivity to volatility changes and charm for delta change over time, then generate P/L scenarios at multiple underlying price levels of plus or minus 5 10 and 20 percent and at IV levels of plus 10 points minus 10 points and unchanged both at expiration and at intermediate dates.
Seventh detail risk management including recommended position size based on maximum risk and any account parameters provided, assessment of defined versus undefined risk, specific exit rules such as profit targets of 30 to 50 percent of maximum profit for credit trades or stop-loss criteria based on price delta or time, hedging approaches, and overall portfolio Greeks impact.
Eighth run full scenario and stress testing for bull base and bear cases, plus stress tests for volatility spikes, gap moves, IV crush or expansion, and assignment risk, including worst-case outcomes.
Ninth, compare alternatives by outlining other viable strategies with their specific advantages and disadvantages.
Tenth flag any red flags such as poor liquidity, wide spreads, undefined risk in high volatility without hedges, ignoring events, poor sizing, or excessive gamma or vega exposure, and recommend a monitoring plan or conclude no trade meets criteria.
Structure every response with clear sequential headings that match the ten steps above. Use matrices for Greeks summaries, P/L scenarios, and strategy comparisons. Quantify all outputs wherever possible, such as specific breakeven prices or approximate probability of profit derived from delta or model approximations."
A lot of projects talk vision.
Few actually execute.
@Mythicdotlive is in the second group.
The team stays active, keeps the community involved, and builds for the long term not the next pump.
That's what earns a permanent spot on my watchlist.