Mi primer día con el Tesla xitter.cf/ssssscca/status/211098…

The Jetson ONE personal air vehicle. Price: $128,000

DEAD INTERNET THEORY IS F*CKING REAL I don't understand why more people didn't think of this sooner: take a popular fictional character and give him a life online. Someone did exactly that with Baki - and reportedly made $100K+ through advertising contracts. → 136K followers → 1.5M likes → Around 14.1M views across 28 posts → 2.7M views on ONE video He trains, goes on dates and prepares to beat his dad. Every post adds another chapter. A workflow you can try: 1) Use Claude, Grok or ChatGPT to develop scenes and prompts. 2) Generate consistent character references. 3) Adapt movement references from real creators. 4) Animate with Higgsfield and build a recurring series. Here's the MONEY angle: he publicly identifies as a HIGGSFIELD CREATIVE PARTNER and promotes the platform in his posts. The tool behind the content becomes part of the advertising opportunity. His exact Higgsfield payout hasn't been disclosed. Follow me - I'll soon share breakdowns on my GitHub and document building my own AI characters. WHO SHOULD I START WITH?

how to spot pump fun bundles before you buy 99% launches are already bundled by the cabal these tools show who was in block 0 > the numbers (bitquery, oct 2025 – oct 2026): - 8.2M pump fun coins checked - 38% = someone other than the dev bought in block 0 - 21% = the dev’s own wallets bought in block 0 - median 10% of supply taken by those bundles - 65% of devs sold within 1 minute of launch - devs + bundled wallets: $579M+ (sold). snipers: $31.5M > the 60 second check: - copy mint > trench[.]bot bundles - jito explorer (confirm block 0 bundle) - pump fun trades tab (dev sells + holders) > step 1: trench[.]bot - paste mint > analyze - any cluster 70%+ risk = skip - clusters holding 10%+ combined = skip > step 2: jito explorer - look up the launch tx - 4 buys packed right behind the dev = their wallets - those wallets holding 20%+ = skip > step 3: pump fun trades - dev sold inside minute 1 = skip - top 10 holders >30% (ex curve) = skip > how to use it: - run all 3 before everytime you buy. ~60 sec - 1 red on any step = skip. no exceptions - all green = still buy small > best advice: - don't trench - you don't have insider information = it's over - save money buy something irl or stack btc bookmark this before you buy anything on pump fun. dyor, good luck losing money

This exchange is giving away $6m PER DAY to holders and you need to pay attention to @papertrade_xyz NOW. Every day you delay, you get 12% less $PAPER.

Every week someone tells me they vibe-coded their app over the weekend and don't need developers anymore. Before it touches a paying customer, make sure it includes: > a schema someone designed, instead of one the AI improvised table by table > login that still works when someone puts a plus sign in their email > password reset links that expire and work once > MFA, plus a recovery path for the user who lost their phone > sessions that time out, and a way to kill every session for one user > SSO for the enterprise customer who won't sign without it > SAML, because that customer's IT team doesn't do magic links > SCIM, so a fired employee loses access the moment IT offboards them > roles and permissions deeper than "admin" and "everyone else" > checks that stop user A from reading user B's data by changing one number in the URL > tenant isolation, so one customer's bug never shows another customer's records > an admin "log in as this user" button for support, with an audit trail on every use > rate limits on login, so nobody can guess passwords at scale > lockouts that stop attackers without locking out your CFO the night before the board meeting > database migrations that run forward and roll back > migrations that don't lock the main table at 2pm on a Tuesday > indexes, because the query that was instant on 50 test rows times out on 5 million real ones > connection pooling, so a traffic spike doesn't exhaust the database > backups every night > a restore from those backups, tested, because a backup you've never restored is a hope > point-in-time recovery for the day someone runs a delete without a where clause > soft deletes, so "I deleted it by accident" is a support ticket and not an incident > validation on the server, not just in the form > timezones stored right, so the 9am reminder doesn't fire at 4am > the customer with an apostrophe in their last name > emoji, accents and right-to-left text in every field > money stored as integers, because 0.1 + 0.2 doesn't equal 0.3 in floating point > currency, rounding and tax rules for every country you sell into > a data model that survives your second customer asking for "one small change" > idempotency keys, so a retried payment doesn't charge the card twice > deduplication for the user who clicks submit four times > pagination that still works on page 400 > exports, because sooner or later every customer wants their data in a spreadsheet > imports that survive the CSV someone saved in 2009 > retention rules, and code that deletes what your contract says you'll delete > secrets out of the code, out of the repo and out of the AI chat history > rotating every key the AI pasted into a config file last month > confirming every package the AI installed exists and is the one you meant > dependency scanning, because the AI pulled in libraries nobody reviewed > input sanitization everywhere a user can type > protection against SQL injection, XSS, CSRF and the rest of the OWASP list > file uploads that get scanned, size-limited and stored where they can't execute > CORS rules that aren't "allow everything" > security headers on every response > encryption at rest and in transit > least-privilege access for everyone, including the AI agent holding production credentials > logs that record who did what, without recording passwords, tokens or card numbers > a penetration test before your enterprise customer's security team runs their own > answers to the security questionnaire every enterprise buyer sends, with evidence behind each one > a disclosure process for the day a stranger emails you a vulnerability > a plan for the day a laptop with production access gets stolen > SOC 2, which means policies, evidence and an auditor, not a checkbox > HIPAA, the moment a single patient record touches your system > a BAA with every vendor that touches that data, including your AI model provider > audit trails that show who viewed a record, not just who changed it > PCI scope, and card numbers kept out of your database > GDPR deletion requests that reach every table, backup and log > data residency for the customer whose contract says EU only > quarterly access reviews someone signs off on > dev, staging and production environments that match each other > infrastructure written as code, so the setup lives somewhere other than one person's memory > a deploy pipeline that runs the tests before anything reaches customers > one-click rollbacks, because Friday deploys happen > zero-downtime deploys, because your customers don't have maintenance windows > feature flags, so you can ship the code without shipping the feature > autoscaling for the Monday morning spike > a CDN, so the app loads fast in Singapore too > DNS, SSL certificates, and renewals that don't expire on a Sunday > background job queues, so slow work doesn't freeze the page > retries with backoff, so one flaky API call doesn't become a lost order > a dead-letter queue for the jobs that fail every retry > cron jobs that don't run twice the day you add a second server > caching, and clearing that cache when the data changes > SPF, DKIM and DMARC, so your password resets don't land in spam > bounce and complaint handling on every transactional email > storage rules, so you stop paying to keep 2021's temp files > cost alerts, so a runaway agent loop shows up the same day and not on the invoice (we learned this one for $1,382.59) > a disaster recovery plan, written down and tested once a year > a second region, if your contract promises uptime one region can't deliver > structured logs you can search at 3am > error tracking that groups the same bug instead of sending you 4,000 emails > uptime checks from outside your own network > alerts that page a human, tuned until they stop paging for nothing > dashboards for latency, error rate and throughput > tracing for one slow request across every service it touches > an on-call rotation, and a person who picks up > runbooks, so the engineer on call knows what "queue depth critical" means > postmortems that change something > a status page customers check before they email you > unit tests written by someone who knows what the logic should do > integration tests for every third-party API you depend on > end-to-end tests for signup, checkout and the other flows that make you money > load testing before the launch email goes out > test data that looks like production without being production data > regression tests, so fixing bug 41 doesn't bring back bug 12 > testing on the five-year-old laptop your biggest customer's ops team still uses > accessibility compliance, because the enterprise contract requires it > subscriptions, upgrades, downgrades and proration > failed-payment retries and dunning emails > invoices with the customer's PO number on them, because procurement won't pay without it > sales tax and VAT > refunds, credits and partial refunds > usage metering that matches what you bill, to the cent > annual contracts with custom terms your billing logic never planned for > revenue reports your finance team can reconcile > webhooks that verify signatures > webhooks that retry, with a log of every failed delivery > a versioned API, so you can change it without breaking your customers' integrations > API keys customers can create and revoke > API rate limits that protect you without blocking real integrations > a plan for the day a third-party API changes its response format without telling you > OAuth token refresh, because tokens expire at the worst possible moment > a sandbox where customers can test their integration > protection against prompt injection in every field that reaches the model > customer and patient data kept out of prompts that leave your network > a model spend cap per customer, so one heavy user can't run up your bill > evals, so you find out when a model update makes your answers worse > a fallback for the afternoon your model provider goes down > a migration plan for the day your model gets deprecated > prompt and output logs for debugging, minus whatever you're not allowed to keep > a human approval step for anything the AI does that can't be undone > pages that load on hotel wifi > empty states, loading states and error states on every screen > error messages a customer can act on, instead of "something went wrong" > forms that keep what people typed when one field fails validation > emails that render in every mail client your customers use > notifications people can turn off > undo > keyboard navigation and screen reader support > translations, with dates and numbers formatted for each locale > a back button that does what people expect > code a human can read > code review on every change > a branching strategy, so two people can work without overwriting each other > monthly dependency upgrades, so you're never two major versions behind > framework upgrades before the old version stops getting security patches > deleting the dead code the AI left behind from its first three attempts > splitting up the 2,000-line file the AI kept appending to > architecture decisions written down, with the reasons > a README that gets a new engineer running locally in under an hour > documentation for whoever inherits this > an admin panel for your ops team > support tooling, so customer success can answer questions without pinging engineering > a changelog customers can read > terms and a privacy policy that match what the code does > every account, domain and repo in the company's name, not the name of whoever built the prototype > a bus factor higher than one Oh, and besides keeping all of this working every day, forever… your vibe-coded app will still need people who know what they're doing: > reading every line the AI wrote before it ships (a senior engineer) > designing the data model before your second customer breaks it (a backend engineer) > explaining why the AI's fix for one bug created two new ones (a senior engineer, again) > deploys, rollbacks, servers and the cloud bill (a DevOps engineer) > answering the page at 3am when payments stop (whoever's on call) > patching the framework the week a vulnerability goes public (security) > walking an auditor through how patient data moves (security and compliance) > testing what the AI says it tested (QA) > running a migration on a live database without losing a row (a backend engineer) > saying no to the feature that breaks three others (a tech lead) > turning "works on my laptop" into "works for every customer at once" (an architect) > debugging the code when the AI that wrote it can't (a senior engineer) > remembering why it's built this way, a year from now (someone who was there) …wishing them the best 🫡

GM GM It's FRIYAY Come join the chat 🔗👇 Overall Market Mood: Bearish Most Discussed Narratives → Bitcoin recovering toward $82K after testing $80K → Nearly $1 billion in leveraged liquidations → Inflation and Federal Reserve rate expectations → Bitcoin ETF demand approaching zero → Ethereum ETF withdrawals continuing → SEC and CFTC regulatory uncertainty → Australia tightening crypto exchange oversight → Privacy coin speculation around Zcash → Declining meme-coin discussion What CT Is Focused On Right Now → Bitcoin's ability to hold above $80K remains the central trading question. The rebound toward $82K offers some relief, but the scale of recent liquidations shows how fragile market positioning has become. Traders are watching whether the recovery attracts genuine spot buying or simply reflects short-term position adjustments. → Institutional demand is not providing much support. Bitcoin ETFs attracted only about $5 million on October 15, while Ethereum funds lost more than $60 million. That difference reinforces the view that investors remain selective, with ETH facing greater pressure and broader crypto demand still weak. →Regulation and security are important secondary themes. Legal questions around U.S. crypto rules and Australia's proposed exchange requirements are keeping policy in focus, while recent reporting on compromised hardware wallets reinforces concerns about custody and self-protection. Privacy coins remain a speculative bright spot, but there is little evidence of a broad return to risk-taking. Bottom line: The market remains bearish, despite Bitcoin's recovery. Watch whether BTC can maintain $80K–$82K, whether ETF inflows strengthen, and whether liquidation pressure continues to ease.