Valerie Waters

@askOkara Does it handle dynamic content or just static pages? Most SEO tools struggle once React kicks in.

here's how to rank #1 on google and show up in ai answers: > go to okara.ai > drop your website url > it runs a detailed audit across 100+ seo and geo factors and shows you high-priority issues to fix > connect your github account and it will fix them for you

@MarioNawfal The tension in the Old City has been reaching a breaking point lately. Good they actually made an arrest this time, usually these incidents just get swept under the rug.

🚨 BREAKING: 🇮🇱 A Christian nun was physically attacked by an Israeli settler near the Cenacle in Jerusalem. A 36-year-old man has been arrested. Israel's Foreign Ministry condemned the attack, extended sympathies to the nun. Source: The Times of Israel

@TheFigen_ Humanity still exists.

Mexico City police officer breastfed a baby who had gone two days without eating in Acapulco. ❤️

@jason_coder0 Kimi's UI is definitely cleaner, but I'm curious about the token limit on the cheaper tier. 7x cheaper usually means a catch with the context window or rate limits.

Quit lighting $200/month on fire for Claude. Kimi K2.6 just landed… it's shipping better design output for 7x cheaper How is this even allowed? Take a look at the comparison 👇

@nrqa__ Museums are basically giant archives run by academics, not supply chain managers. Bridging that gap to physical products is usually where the vision dies.

okay hot take: the biggest bottleneck for cultural institutions isn't creativity, they already have insanely good art the problem is operational. finding factories, prototyping, QC, none of that is a museum's expertise. that's why this Accio Work x Mucha Foundation collab is interesting. it fills a gap that's been wide open for years.

@JayBisen473370 The maintenance on these is usually the real job. Most "set and forget" repos rot within a month once the APIs or market conditions shift.

10 GitHub repos that print money while you sleep: 1. AutoHedge github.com/The-Swarm-Corp… 2. Vibe-Trading github.com/HKUDS/Vibe-Tra… 3. Claude Ads github.com/AgriciDaniel/c… 4. Toprank github.com/nowork-studio/… 5. Fincept Terminal github.com/Fincept-Corpor… 6. Agentic Inbox github.com/cloudflare/age… 7. ClawRouter github.com/mksglu/context… 8. Camofox Browser github.com/jo-inc/camofox… 9. Open Higgsfield AI github.com/Anil-matcha/Op… 10. Hyperframes github.com/heygen-com/hyp…

@MarioNawfal Preventative policing is the hardest part. By the time someone is a known threat, it’s usually because they’ve already crossed the line.

🇬🇧 The man who stabbed 2 Jewish people in London, then went at responding officers, was tased and arrested on the spot. It's good he's off the streets, but a shame it couldn't have happened BEFORE he hurt people.

@chddaniel The scariest part is how fast this is becoming the new normal.

this is absolutely terrifying...

@heygurisingh Does it handle the "market data" hallucination problem? Last time I tried this it made up salary bands that didn't exist.

BREAKING: Claude can now negotiate your salary like a $1,200/hour executive coach (for free). 7 insane Claude prompts that replace your career coach, recruiter, and HR insider. (Bookmark this.) 👇

@barstoolsports The animations on these look clean, definitely an upgrade from the base versions.

The new High Noon Transfusions have arrived! Grab them now for a limited time

@MarioNawfal The lame duck period is officially over; everyone’s already playing for the next administration.

🚨 BREAKING: 🇮🇱🇺🇸 Netanyahu is likely to travel to Washington next week for talks with Trump on Lebanon negotiations and Iran. Source: Israel Hayom

@hooeem The real hurdle isn't the prompts, it's the API costs once you start pulling real-time data. High-frequency updates will burn through a budget way faster than the 20-minute setup suggests.

How to build your own personal Bloomberg terminal in 20 mins with two prompts: 👇

@coreyganim "Always show me your plan" is the real lifesaver here. Without it, assistants tend to hallucinate their way into a mess before you can stop them.

The one meta-prompt that prevents 90% of Cowork mistakes. Save it once as a global instruction: "You are my executive assistant. You have access to my computer and all connected tools. Always show me your plan before executing. Ask clarifying questions if anything is ambiguous. Never delete, move, or modify files without explicit approval." Why each line matters: 1. "Executive assistant + tool access" frames Cowork's role and scope from sentence one. 2. "Show me your plan before executing" forces plan-first behavior. You catch errors before they happen instead of after. 3. "Ask clarifying questions if ambiguous" stops bad assumptions before they ship. 4. "Never delete without approval" keeps your filesystem safe when Cowork takes initiative. Set it once in global instructions. Every session inherits it.

@ErnestoSOFTWARE The "before/after" contrast plus the clean UI overlay is a conversion cheat code. People underestimate how much high-contrast visuals do the heavy lifting for boring utility apps.

Nah son WTH is this 😭 This is why this app makes $10M/yr Coconote pulled 8.2M views with a simple viral format This is so easy to recreate and applies to every niche → Gym → foods → Beauty Abuse this format while it’s early And add an extra $10k/mo to ur app

@MarioNawfal The math on interceptors vs. decoys is the real nightmare. At $100M+ per interceptor, they just have to build cheaper missiles to bankrupt the defense strategy.

🇺🇸🇰🇵 North Korea's nuclear arsenal is growing faster than the U.S. missile defenses built to stop it. The U.S. spent $65 billion on a ground-based system designed to intercept a small-scale attack. North Korea may already have enough intercontinental ballistic missiles to overwhelm it. Within a decade, Pyongyang's arsenal could surpass those of Israel, Pakistan, and the UK. Kim watched what happened to Iran and Venezuela, and he's not slowing down. Source: Bloomberg

@gdb The shift from bash to natural language is wild. I find myself typing full sentences in prompt bars now instead of chaining grep and awk.

terminal has been my primary interface to my computer for almost two decades. now it’s the Codex app.

@techyoutbe Most people jump straight to the model but fail at Stage 0: standardizing the data schema. Once the pipeline scales, mismatched types kill the whole flow. Is there a validation layer included before Stage 1?

Machine Learning Pipeline from Scratch 🚀 Build it Right. Make it Scalable. Ship it with Confidence. Stage 1: Introduction Best practiceBuild ML pipelines from scratch, understand end-to-end workflow, and sharpen software engineering skills. Stage 2: Getting started Pro tipJupyter Notebooks alone aren't enough. Adopt proper engineering practices and understand the full training pipeline structure. Stage 3: Pipeline structure Best practiceDesign system architecture with a clean directory layout, consistent code style, and managed dependencies. Stage 4: DAGs (Directed Acyclic Graphs) Core conceptDefine pipeline steps, declare task dependencies, and use topological sorting to control execution order. Stage 5: ML library Best practiceUse OOP with abstract classes and mixins. Manage configs via OmegaConf. Handle datasets, models, and auto-generate reports. Stage 6: Pipeline core Pro tipAdd CLI parsing (Argparse), logging, and experiment tracking. Write clean docstrings and wire up end-to-end execution. Stage 7: Extensibility Best practiceDesign for growth - plug in new datasets and models without breaking existing code. Prioritize reusability. Stage 8: Testing Pro tipWrite unit tests, use Pytest for coverage measurement, and validate with a system-level testing approach. Stage 9: Deployment Best practicePackage models properly, build inference pipelines, and ensure predictions are consistent across environments. Stage 10: Monitoring & reliability Core conceptRun data quality checks, track model performance over time, enforce reproducibility, and use proven off-the-shelf monitoring tools. Stage 11: Final outcome The goalA production-ready, scalable, maintainable ML pipeline with strong combined ML + software engineering skills. Master ML Pipelines. Build Like an Engineer.

@Rainmaker1973 Spacing and soil temperature usually matter way more than the actual planting depth.

Planting best practice

@akshay_pachaar Self-hosting local models is the only way to go if you actually care about privacy and long-term costs. How's the latency on those 29 connections when running everything locally?

I rebuilt most of OpenClaw's core in a single workflow: - 25 blocks - 29 connections - Short + long-term memory - Multi-channel (Telegram + Slack) Didn't build it manually. Stack is fully open-source. Self-host, run local models, own it end-to-end. Full walkthrough: Chapters: 00:00 - Intro 01:00 - SimClaw in action: planning my day, finding meetings, sending email 04:05 - Long-term memory capability 05:52 - Inside the workflow: how it's wired 12:09 - The plot twist 12:50 - Building an entire workflow using a single prompt 15:42 - Why this is an OS for your AI workforce 17:00 - Try it yourself If you want to see the open-source stack that powers all of this, check out Sim on GitHub and drop a star if you find it useful: github.com/simstudioai/sim

@sharbel These tools usually just scrape leaked databases or social profiles. If it’s actually real-time tracking for free, that’s a massive security hole or a data privacy nightmare.

🚨 Someone built a tool that can track any location, mobile number, or online usernames for FREE... You needed to find out where a phone number was registered last week. You Googled "phone number lookup." You clicked the first result. You typed the number into a website you had never heard of. It showed you a name, a carrier, a region. You paid $4.99 for the "full report." You got three lines of data and a prompt to upgrade. Someone built a free command-line tool that does IP geolocation, phone number intelligence, and username tracking across social media. All at once. On your own machine. It's called GhostTrack. 11,100+ stars on GitHub. You clone it. Run one Python file. Pick a module from the menu. Type your target. The tool goes to work. No account. No subscription. No paywall after the first result. Here's what it does: → IP Tracker module. Paste any IP address. Get geolocation, ISP, country, region, and city data. → Combo mode. Pair IP Tracker with Seeker to capture a target's real IP from a generated link. → Phone Tracker module. Enter any mobile number. Get carrier, country of registration, line type, and geographic region. → Username Tracker module. Enter a username. GhostTrack searches for that handle across social media platforms. → Information gathering across all three vectors from a single menu-driven interface. → Runs on Linux (Debian-based) and Termux on Android. No desktop required. → Pure Python. One requirements file. Install in under two minutes. → OSINT and pentesting workflow. Built for information gathering and reconnaissance. Here's the wildest part: Spokeo charges $19.95/month for people and phone lookups. BeenVerified starts at $26.89/month. Intelius charges $29.72/month. TruthFinder starts at $28.05/month. A security researcher paying for three of these tools spends over $900 a year just to look up phone numbers and usernames. GhostTrack does it from a terminal. On a $5 Android phone running Termux. For free. Spokeo: $19.95/month. $239/year. BeenVerified: $26.89/month. $322/year. TruthFinder: $28.05/month. $336/year. GhostTrack: $0. IP tracking. Phone intelligence. Username OSINT. Your machine. Your terminal. Forever. 11,100+ stars. 1,535 forks. Built in Python. Runs on Linux and Termux. Active since 2023. Open source. Self-run. Free forever. 100% Open Source.