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@Aj1147_

building small tools for big problems

Katılım Aralık 2022
743 Takip Edilen879 Takipçiler
Paper
Paper@Aj1147_·
@Biemjo already seeing people talk about this
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Biemjo
Biemjo@Biemjo·
Today we're introducing Claude Fable for Marketing. We built an MCP that ranks your brand in AI search. Just talk to it. It finds where you're invisible, and it'll fix it for you. this is absolutely wilddd
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CrowdReply
CrowdReply@Crowdreply_io·
Today we're introducing the CrowdReply MCP. The first ever MCP that analyzes and ranks your website in AI search. Simply talk to it and it'll find where you're missing, then goes in and handles the implementation.
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Aviator Anil Chopra
Aviator Anil Chopra@Chopsyturvey·
The first trillionaire in human history - Elon Musk - Born in South Africa - Bullied relentlessly as a kid - Immigrated to North America - Arrived with a backpack and a dream - Built Zip2 with his brother - Sold it 4 years later for $300 million - Co-founded PayPal with the profits - Revolutionised digital payments - Sold PayPal to eBay for $1.5 billion - Bet everything on Tesla and SpaceX - Got mocked for electric cars - Got laughed at for reusable rockets - Nearly went bankrupt in 2008 - Kept building anyway - Turned Tesla into the world’s most valuable automaker - Made EVs mainstream and transformed the automotive industry - Made reusable rockets a reality - Reduced the cost of reaching space by 95% - Sparked the modern commercial space race - Built Starlink and connected millions around the world to high-speed internet - Turned SpaceX into the most valuable private company in history - Bought Twitter for $44 billion - The world said he overpaid - He was called reckless, stupid & crazy - Advertisers fled, media declared it dead - Critics called it the worst acquisition in tech history - Renamed it 𝕏 - Rebuilt the platform anyway - Turned it into one of the most influential platforms on Earth - Launched xAI and accelerated the global AI race - Sent astronauts to space - Is trying to get humans to mars - Created millions of jobs - Generated hundreds of billions in value - Inspired an entire generation of builders Before: - Failed repeatedly - Worked insane hours - Slept in factories and offices - Got bullied, laughed at and mocked - Constantly told “it’s impossible” - Kept building anyway - Made it possible Today: - Richest person on Earth - First trillionaire in human history - Largest IPO in history $1.77 trillion Most people quit when the world laughs at them. Elon Musk built the future instead. Love him or hate him… Nobody has changed more industries in a single lifetime. Payments. Cars. Energy. Space. Social Media. Communications. AI. History won’t remember the people who said it couldn’t be done. It will remember the people who did it anyway. Congratulations Elon. The first trillionaire. 🚀
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Abdulkadir | Cybersecurity
Abdulkadir | Cybersecurity@cyber_razz·
The UK fined 4chan £520,000. 4chan’s lawyer replied with a picture of a hamster. Ofcom sent a bigger fine. The lawyer replied with a bigger hamster. Named Nigel J. Whiskerford. Dressed as Godzilla. His official legal response included the line: “The United Kingdom lost the American Revolutionary War. We are not in the mood to discuss the matter further, and have not been in the mood for 250 years.” Ofcom has issued nearly £5.5 million in fines to tech companies. Collected £55,000. From one company. 4chan has paid zero. The UK just announced it’s banning social media for under-16s. Considering overnight curfews for 16 and 17-year-olds. Planning phone scanning. Trying to regulate AI chatbots. Fining American websites that respond with hamster memes. Signal threatened to leave. 4chan sent a rodent. The Online Safety Act took 8 years to write. Nigel J. Whiskerford is not impressed.
Pirat_Nation 🔴@Pirat_Nation

4chan’s lawyer says the UK government “doesn’t understand the internet” and has given Ofcom an “impossible task” by trying to enforce British online safety rules on US-based platforms. Preston Byrne, who represents 4chan, argued that the site is protected by the First Amendment and doesn’t have to comply with UK demands. “The UK just isn’t getting the memo that the United States has a different system and we do things in a different way.” He also claimed Parliament misunderstood how the internet works and set Ofcom up with a mission it can’t realistically enforce. Ofcom fined 4chan £520,000 under the Online Safety Act for failing to implement age checks and other safety measures. 4chan has refused to pay. Via: LBC.

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Lukas Ziegler
Lukas Ziegler@lukas_m_ziegler·
Autonomous tractor from Netherlands! 🇳🇱 Despite all the narrative, we are still building awesome companies in hardware space in Europe. Recently, I've posted about a Chinese autonomous tractors company. So today I wanted to show something that was created in the middle of Europe. This is a fully autonomous tractor from Dutch company @AgXeed, designed to work on fields without any human supervision. It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!) The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements. (nice! x2) Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm. Love seeing that so many companies are trying to make farmer's life easier! What are the others companies building in agri-tech? I want to meet them! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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Z.ai
Z.ai@Zai_org·
Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5.2 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Chat: chat.z.ai
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Tech with Mak
Tech with Mak@techNmak·
Someone just dropped a 9-layer production AI architecture and it's the most honest breakdown I've seen. services/ - RAG pipeline, semantic cache, memory, query rewriter, router. Not one file. Five. agents/ - document grader, decomposer, adaptive router. Self-correcting by design. prompts/ - versioned, typed, registered. Never hardcoded. security/ - input, content, output. Three guards not one. evaluation/ - golden dataset, offline eval, online monitor. Most people skip this entire layer and ship blind. observability/ - per-stage tracing, feedback linked to traces, cost per query. .claude/ - agent context so your AI coding assistant knows the codebase before it touches a file. The demo is one file. Production is this. Check: academy[.]neosage[.]io
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Jami
Jami@expertwith_AI·
My girlfriend asked why I was smiling at my phone at 3AM. I lost my job last week. Rent due in 4 days. No backup plan. Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores. The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin. Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths. Trade only fires when 28 out of 31 models agree. Below 26 votes? Trade dies instantly. The agent moves faster than any human trading desk: → Collects market data 24/7 without breaks → Runs continuous simulations inside MiroFish engine → Operates fully autonomous with zero manual input → Every trade executes only when consensus hits threshold → Every dollar captured is pure market inefficiency exploit That is the entire edge. Not prediction. Consensus. Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days. He spent years learning that certainty is a scam and consensus is the only edge that matters. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word Claude 2. Like and retweet this 3. Follow me @expertwith_AI so I can DM you Save this post. Build the consensus system this week. Start with $200. Scale on evidence.
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Alfie Carter
Alfie Carter@AlfieJCarter·
R.I.P. rebuilding your GTM stack from scratch every session. A complete Claude Skill Library can replace a $15,000/month agency retainer. It is not as easy as hiring someone else to do it. But if you start today, you can have 130+ skills loaded into Claude Code covering every GTM job by end of this week. I usually charge $299 for access to this library but today, it's free. Like this post + comment 'Agents' and I'll DM you the entire skill library for free. (Must be following, or I can't message.) Taking this down in 48 hours.
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Satya
Satya@heysatya_·
Apps are booming right now. People are building, launching, and turning simple ideas into real businesses. Here are a few apps we’ve designed for founders making it happen 👇
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Alfie Carter
Alfie Carter@AlfieJCarter·
R.I.P. paying full Opus prices for every single AI task. A properly routed open-source Claude stack can replace $200+ a month in frontier model spend. It is not as easy as just swapping the model name and hoping for the same output. But if you start today, you can have GLM 5.2 wired into Claude Code, a local model running on your machine with zero token cost, and your first autonomous loop built, verified, and running unsupervised by end of this week. I usually charge $99 for access to this playbook but today, it's free. Like this post + comment 'STACK' and I'll DM you the full guide for free. The guide covers three things. How to set up local models on your hardware in 15 minutes using Ollama, which model runs best at your RAM level, and the decision engine that tells you which of your tasks belong on local, which go to a cheap API like GLM 5.2 at $1.40 per million tokens, and which 20% actually justify Opus. How to wire GLM 5.2 into Claude Code in under 5 minutes by editing one JSON config file so the same harness, skills, and workflows you already have run on a 5x cheaper engine for 80% of your tasks. How to stop prompting and start building loops. The 4-condition test that tells you which tasks are ready to loop, the four blocks every loop needs, and the copy-paste prompt that builds your first loop orchestration skill with training mode, memory, and a verification step included. (Must be following, or I can't message.) Taking this down in 48 hours.
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amit
amit@amitisinvesting·
market’s taking down SaaS…again… it’s getting comical at this point
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dex
dex@dexhorthy·
give me six hours to build a b2b saas and I will spend the first four researching the planimplement
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Zach Yadegari
Zach Yadegari@zach_yadegari·
I'm looking to spend up to $1M to acquire or partner with an app, saas, or ecom store. I care about the product being high quality and something people actual want. You can have done $0 in revenue so far. Dm me your project.
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