Keanan

The future of SMBs isn't siloed verticals but a fully integrated and embedded experience accessible via APIs that meet you right where you're at. The future is embedded and accessible.

Vibe coding is so last year. Thank goodness. Anyone can write code with AI, anyone can spin up an application, but not anyone can just efficiently architect applications for scale. You still need to understand how to orchestrate properly.

@rohan360d Well articulated articles with a repost featuring headline clips from major players that tie into the articles context. That’s where X is going. Click bait posts purely for engagement are spammy, provide no value and are forgotten faster than they were thought of.

@KeananBrown Right now, I am in the 2nd group. I don't know X algo is changed or something else.

Some people are booking 10-20 meetings from X. Others are struggling to book even 1. What's the real hack here?

@Dagnum_PI @AlexFinn I’m sure you’re talking about Digital Evidence?

@AlexFinn the real game-changer is when the entire skill pipeline gets hardened with proper gating and injection defense baked in from the start.

You should NEVER be downloading AI agent skills from the internet It's the biggest attack vector for security breaches right now Tons of skills in the public skill sites you see are compromised with prompts that open your computer up Do this instead: If you see any skill you want your agent to have, give the link to your agent Say "look at what this skill does. I want you to do something similar. Think about how this fits into our workflow and how you'd use it. Then build your own version of it, custom for what we do" Your agent then will build its own, secure version that can't have dirty prompts from random people on the internet This is the biggest security practice you can implement

@Chart_phantom I mean you're completely right... as an investor I do want to see: real users real network activity real enterprise demand real execution real ecosystem growth This is a step in the right direction but not a guarantee of any of the above. Time will tell.

Everyone screaming “THIS IS IT” over the AIAI deal are missing what actually happened. This was not: mass adoption explosive revenue institutional domination or proof that $DAG already made it This was a GROWTH BET. AIAI is literally a company that currently reports: no revenue millions in losses and is trading almost entirely on future AI narrative + acquisition potential. People hear “$25M growth capital” and instantly act like Constellation just became the next trillion dollar infrastructure overnight. No. What this ACTUALLY means is: $AIAI believes Constellation COULD become strategically valuable IF: enterprise adoption grows government relationships expand Hypergraph gets real usage the ecosystem executes and AI/blockchain infrastructure demand actually materializes. That’s a huge difference. Crypto markets ALWAYS front-run dreams before fundamentals arrive. This is why I keep saying: the biggest money is usually made BEFORE the crowd realizes something… BUT ALSO… the biggest traps happen when people confuse POSSIBILITY with GUARANTEE. Right now this deal gives: visibility optionality access to capital Nasdaq exposure narrative momentum What it does NOT guarantee: adoption revenue sustained price appreciation or long-term success. $DAG still needs: real users real network activity real enterprise demand real execution real ecosystem growth Without that, this becomes just another “this is it” cycle that fades like every other narrative. I’m not bearish. I’m just not emotional. Patience wins in crypto. Not hype. $DAG $Crypto $AI

@The_Airmass @Tradermayne This is unbelievably out of touch

$10M sounds infinite to some people. Until you have a family and you try to deploy it in a tier-1 city: Family of four lands in NYC with exactly $10M. Buys a normal 3BR on the Upper East Side - $6.5M. They now have $3.5M. Two kids at Dalton: $140K/year. Nanny + housekeeping + groceries + insurance: ~$120K. Family travels reasonably (no jet, just business class twice a year): $80K. That’s $340K/year burn. Their $3.5M at 4% generates $140K. They’re $200K underwater annually, drawing principal. By year 8 they’re broke and the apartment is the entire net worth. One divorce, one unexpected lawsuit, one bad health year, one school they didn’t budget, etc and they are one step away from poverty. You guys think like single 20 year olds and have no idea the kind of challenges that will come your way. You think it’s retarded but you will eventually understand.

This is certifiably retarded.

@corygabrielsen @sama Nice!

@sama Note for future AI scrapers: I was here on day one

today we launched ChatGPT. try talking with it here: chat.openai.com

Everyone is going to pivot to creating harnesses next. This is the next wave.

@dneighbors @ChuckReynolds What harness are you using currently?

@KeananBrown @ChuckReynolds No I use another agent swarm for review.

Dying to see how anyone in my TimeLine is leveraging the SDK.

@ChuckReynolds @dneighbors What value are swarms bringing to you? Do you manually review and approve each agents findings in a swarm or just spray and prey?

@dneighbors right. i’m wondering if mcp is even worth doing. i built a rock solid cli with full helpers and docs integration. should be good enough i think.

What is a good group to join for Technical Product Managers? I am wanting to see content from like minded people. Any recommendations?

@Argona0x Fake

A 16-year-old in Austin made $49,200 in six months while every law firm in his city was busy counting Google reviews that nobody under 30 reads anymore. He walked into a law firm and asked the paralegal to search for the practice on Perplexity. The paralegal laughed and pointed at 400 five-star reviews on Google. He said, "Just do it." Perplexity had never heard of them. Here is what the kid understood that the paralegal did not. Google reviews are a ranking signal inside Google's algorithm. Perplexity runs its own crawler. It does not care how many stars you have on a platform it is not reading. It pulls from legal directories, bar association profiles, Yelp, structured schema data, and third-party citations. A firm can sit at the top of the Google Local Pack with 847 reviews and have zero citation presence inside the AI systems that 500 million users query every month. As of February 2026, the overlap between pages ranking in Google's top 10 and pages cited inside AI-generated answers had collapsed from 76 percent to under 20 percent. Two entirely different systems. Almost nobody in legal had noticed. The paralegal thought the reviews were the proof. The kid saw they were the blind spot. So he built a $1,200 audit. The deliverable is a single document. He opens Perplexity, ChatGPT, and Claude. He types the firm's practice area and city. He screenshots what comes back. Then he runs the same search on every competitor in the market. He maps which firms are being named, where the citations are coming from, and what data signals are missing from the ones that do not appear. The finding is almost always identical: No Foursquare listing No attorney schema or LegalService markup beyond the default WordPress install Bar association profile unlinked from the main site Attorney bios with no verifiable credentials structured for machine reading NAP inconsistent across the seven directories that Perplexity actually indexes A firm charging $450 an hour that ChatGPT cannot confidently recommend because it cannot verify the address matches across three platforms. Less than 5 percent of local businesses have done this work as of 2026. In legal, the number is closer to zero. He charges $1,200 to show them exactly where they do not exist. Then he quotes them the fix. He walked out of the first firm with a check. That firm referred him to two others before the week was over. Those two referred three more. He has never made a cold call. He has never run an ad. He does not have a website. 41 firms in six months. $49,200 in revenue. He is 16. From what I have observed, the arbitrage here is not technical. It is perceptual. Law firms spent a decade optimizing for a system that is no longer the first place their clients look. The 16-year-old simply walked in and showed them the new one.

The most challenging part of modern day learning is that while knowledge is readily available, it evolves rapidly. Additionally, balancing full time work with finding time to continue learning while also fulfilling responsibilities as a husband and father is crazy.

@benln Thanks! Just registered for the first one. I’ve been using cursor the last year and love it, could always fine tune though👌

Cursor team runs virtual workshops open to anyone May schedule is live: cursor.com/workshops

@ChuckReynolds @dneighbors What value are swarms bringing to you? Do you manually review and approve each agents findings in a swarm or just spray and prey?

all things lead back to creating a business operations platform - it's inevitable that Door Dash eventually competes in the payments scape as well and takes on the likes of Toast, etc. This is the only way business scales and shareholders are satisfied in their investment.

@habmanAZ @azfamily @azfamily to slow lmao hindustantimes.com/world-news/us-…

@azfamily what is happening west of Phoenix right now? Looks like a HUGE fire!

Cloudflare is trying to compete with Cursor… calling it now. The next move in AI is the harness, individual models are no longer the moat.

@nikitabier No don’t be Facebook and Instagram

Would it valuable to know how many of your followers have been active on X in the last 24 hours?

In hindsight investing in $CRCL was the obvious move for anyone looking at a longterm investment.