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Introducing Loop The autonomous business manager that runs your outreach, your follow-ups, and your pipeline,while you focus on the work only you can do. Loop doesn't live in your inbox. Your inbox lives in Loop. Reads every lead like a teammate who's been on your team for years Writes... show more

Anushka Singh

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12,540 次观看 • 1 个月前 •via X (Twitter)

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Introducing Libra AI, the SOTA super agent that amplifies your work, enabling you to bring your best everyday. Your work life will never be the same starting today. > Libra understands all your data and context like a human teammate > Takes actions on your behalf > Replaces the patchwork of vertical AI tools with one that actually does the work Experience it today, now in early access Libra AI⚡️

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HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

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Ovis Loop, OUT Now!

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You live in your own heads with the same thoughts on a loop. Reading takes you out of the mode and into the worlds of others. What’s been your favorite book you read this year? ⬇️

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Robert Greene

39,984 次观看 • 1 年前

Today we're introducing Wave. A proactive product agent that helps teams build self-improving products. Every product team runs the same loop. Build, ship, use, learn. AI has made building and shipping extraordinarily fast. Understanding usage and learning still happen by hand. Wave runs the whole loop: - Analyzes your Amplitude data for signals across analytics, feedback, session replays, error logs, agent traces, and experiment results - Surfaces opportunities in the form of full product specs that you or your agents can approve and ship - Tracks the experiments and outcomes of what you've built so you can start the loop over again Your product learns what works and gets smarter every cycle:

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Spenser Skates

107,303 次观看 • 1 个月前

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

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Sprytix

152,649 次观看 • 12 天前

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Once you don't focus on stuff to close the gaps of insecurity in your soul, you stop acting in a manner that doesn't match your moral compass and principles … This loop is everything and I hope you realize impressing those who you don't even like is the seed that leads to actions that you don't admire in yourself.

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Keep your viewers in the loop with Segments! If the game’s heating up or something wild happens, send a Segment to alert your room to tune in IMMEDIATELY

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Playback

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#NewinLoop: Ready to save time and speed up repetitive tasks? Now you can streamline your workflow with automation in Loop — freeing you up to focus on more strategic and high-value work. Learn more:

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Microsoft Loop

13,035 次观看 • 2 年前

The guy who kicked off the entire "loop engineering" wave Peter Steinberger: "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents." One post. 6.5M views in a week. In this talk he walks the real stack: the agent loop, a verifier that fails its own work and retries, and a loop that rewrites the agent while he sleeps. Worth more than any $500 vibe-coding course. Watch it, then read the full breakdown of the 4 loops below.

The guy who kicked off the entire "loop engineering" wave Peter Steinberger: "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents." One post. 6.5M views in a week. In this talk he walks the real stack: the agent loop, a verifier that fails its own work and retries, and a loop that rewrites the agent while he sleeps. Worth more than any $500 vibe-coding course. Watch it, then read the full breakdown of the 4 loops below.

dunik

218,959 次观看 • 25 天前

J. Cole’s 3 rules for success: SEE IT CLEARLY IN YOUR IN YOUR MIND. GUARD THAT VISION WITH YOUR LIFE & KEEP IT TO YOURSELF. PUT IN THE WORK, NO SHORTCUTS. I’ve been replaying this clip on the loop. Straight scripture. 💯

J. Cole’s 3 rules for success: SEE IT CLEARLY IN YOUR IN YOUR MIND. GUARD THAT VISION WITH YOUR LIFE & KEEP IT TO YOURSELF. PUT IN THE WORK, NO SHORTCUTS. I’ve been replaying this clip on the loop. Straight scripture. 💯

Truethingz™️

21,292 次观看 • 7 个月前

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Raytar

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Marathon

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tobi lutke

22,227 次观看 • 1 个月前

Introducing Naive - hire autonomous employees with their own identity. Own compute. Own bank account. Own legal entity. Own email. Own credentials. Own mobile. No humans-in-the-loop. They sign up for tools, pay for services, deploy apps, file documents, and run your entire company. Describe a business. Naive runs it. Reply "Naive" + RT. Get $100 credit for free.

Introducing Naive - hire autonomous employees with their own identity. Own compute. Own bank account. Own legal entity. Own email. Own credentials. Own mobile. No humans-in-the-loop. They sign up for tools, pay for services, deploy apps, file documents, and run your entire company. Describe a business. Naive runs it. Reply "Naive" + RT. Get $100 credit for free.

naïve

458,134 次观看 • 4 个月前

Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.

Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.

cvxv666

309,844 次观看 • 9 天前

🆕🆕🆕🆕 Introducing your new favorite way to stay in the loop ➰ Channels on WhatsApp lets you privately follow the topics you care about. Available now in Colombia 🇨🇴 and Singapore 🇸🇬 Coming soon 🌎

🆕🆕🆕🆕 Introducing your new favorite way to stay in the loop ➰ Channels on WhatsApp lets you privately follow the topics you care about. Available now in Colombia 🇨🇴 and Singapore 🇸🇬 Coming soon 🌎

WhatsApp

389,434 次观看 • 3 年前