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[Elie Steinbock ~ getinboxzero.com @elie2222]

New growth hack to earn $200 per day and have Claude Code pay for itself:

Install the Kickbacks extension. Open 50 tabs on Claude Code. Set the model to Haiku. Have each tab ralph loop counting up to 1m.

You earn $0.01-$0.05 per 5s ad. My friend already earned $13.59.

This is loop engineering at its finest.

PS - I wrote this tweet as a joke but then tried it and it actually worked... this is a scheduled tweet you just read. When I wake up I'll find out how much I've earned or if I was blocked. I'm at $1.86 at time of writing. But likely way more by the time this is published. If it gets to $6 it's paid for Claude Max for the day.
I'm guessing my account will be blocked and I won't get paid. I'm fine with that 😂

[Rubén Pueyo | EAW @Aqui_mi_casa]

Desde que aprendí a hacer así más tortillas, ya no quiero más omelettes.

[How To Prompt @HowToPrompt__]

Apple just did something nobody expected.

They turned 2 billion iPhones into local AI machines.

They open-sourced coreai-models, the entire toolkit that lets you export any HuggingFace model and run it natively on iPhone, iPad and Mac with zero cloud.

→ Runs 100% on the Neural Engine
→ No cloud. No API keys. No subscriptions.
→ Fully offline. Your data never leaves the device.

It even ships with skills for Claude Code, Codex, and Gemini, so your coding agent already knows how to use it.

100% Open Source.

[How To Prompt @HowToPrompt__]

A toothpaste company has quietly killed the entire market research industry and nobody is talking about it.

Colgate published a paper showing you can predict real purchase intent at 90% accuracy by simply asking LLMs to roleplay customers.

And this is beyond insane.

If you ask an AI, "Rate this product from 1 to 5," it gives safe, middle-of-the-road garbage.

So researchers invented a method called Semantic Similarity Rating (SSR).

Instead of asking the AI for a number, they asked it to roleplay.

They gave the LLM a demographic profile. They showed it a product concept. And they asked it to write down its raw, unfiltered thoughts.

Then, they used a semantic model to translate those written thoughts into a numerical score.

The results are staggering.

Tested against 57 real corporate surveys and 9,300 actual human responses, the synthetic AI consumers matched real human buying behavior with 90% reliability.

They perfectly mirrored how different age brackets and income levels react to price changes.

And they provided detailed, qualitative feedback that was deeper and more critical than what actual humans wrote.

This destroys the economics of traditional market research.

You don't need to wait a month to see if a product will sell.

You can simulate 1,000 hyper-targeted customer interviews overnight.

You can A/B test pricing across every demographic instantly.

[Luden @mimicryludens]

Fable 5の出力がなかなか面白い。

TRPGの世界地図ジェネレーターを作ろうとプロンプトを1発投げた結果。意図した挙動ではないんだけど、なんかすごい背景が出来上がった。

いろんな都市がプロシージャル生成されて普通に動いてる。

[Yash Rajput (Diablo) @DiabloNemesis]

add this to your image prompts on @morphic

"shot on 65mm IMAX, shallow depth of field, natural window light."

instantly stops looking like AI.

[Miles Deutscher @milesdeutscher]

Anthropic posted a FULL GUIDE on how to prompt Fable 5 (Mythos).

Claude Fable 5 is not meant to be prompted like any other model.

It's meant to run autonomously.

Here's exactly how to enable Fable to do work for you with minimal manual intervention:

1. Effort selection

Anthropic recommends using High for most tasks and Xhigh only for complex workflows.

Low/medium: quick questions, basic research
High: default for most work
Xhigh: complex builds, multi-step analysis
Ultracode: full autonomous orchestration

2. /loop prompting

Use /loop prompts to kick Fable off to complete full tasks.

/loop <time interval> + <goal>

3. Tell it WHY, not just what (context)

Fable can't perform on instructions alone. It needs context to make decisions on its own.

Anthropic's exact prompting structure:

"I'm working on [larger task] for [who it's for]. They need [what the output enables]. With that in mind: [your actual request]."

4. Keep prompts short (instructions)

Counterintuitive but critical.

Over-engineering your prompts on Fable 5 degrades output. You're constraining a model that would have figured it out on its own.

4. Tell it when to stop and check in during runs

"Pause for me only when the work genuinely requires my input: a destructive action, a real scope change, or something only I can provide. Otherwise, keep going and report back when done."

5. Build it a memory system

Fable performs best when it can record lessons from its previous loops.

Give it a markdown file and this instruction:

"Store one lesson per file with a one-line summary at the top. Record corrections and confirmed approaches. Don't save what the repo or chat history already records."

The optimal general prompt structure:

"Goal: I'm working on [larger task] for [who it's for]. They need [what the output enables].

Request: [your specific ask in one sentence]

Output format: [exactly how you want it]

Constraints: [what must not happen]."

One last thing - your old prompts may actually work against you.

Skills and project instructions built for Opus 4.8 may produce worse results on Fable.

Bookmark this to actually maximize your Fable workflows.

[Cell 细胞 @cellinlab]

卧槽，这个应用火了🔥
还没有 Copy to China 吗👀

这是一个很棒的病毒式传播应用创意！

基本上是通过你在城市里走动来解锁虚拟地图上的区域。

[Tom Dörr @tom_doerr]

Wi-Fi motion detection without cameras

https://t.co/4t8bf1jnk1

[Spike 1% @SpikeCalls]

One person rebuilt an entire company’s brain in 7 days inside Claude Code.

Not a doc. Not Obsidian. A living galaxy of nodes.

Every employee. Every AI agent. Every SOP. Every tool. All wired together on one screen.

Click a department. The human agent team opens up. The SOPs attached to it open up. What each person is allowed to touch opens up.

That last part is the whole game.

Permissions baked into the brain. An employee opens the chat, the AI already knows what they can access. Agents, data, SOPs surface inside the conversation like you tagged them by hand.

Obsidian can’t do this. Notion can’t do this.

No dev team. No funding round. No 6-month roadmap. 7 days, 1 person, 1 terminal.

This is the part nobody has priced in.

The tools to build $200K enterprise software now sit on your laptop for free.

The only thing missing is the guy who opens the terminal.

[Yarchi @undefinedKi]

THIS GUY TURNED HIS OBSIDIAN INTO A JARVIS THAT TAKES A 3AM IDEA AND SHIPS IT AS A FINISHED PROJECT WHILE HE SLEEPS

The problem he solved: way more ideas than time to build them. So he wired Obsidian into a pipeline that takes a raw idea and carries it all the way to a finished project, with him stepping in only once

How it flows:

A 3am idea gets dumped into a single note. No structure, just the rambling

An automation reads that note and decides what it is. A project? A grocery item? A random thought? A TikTok to make? It sorts on its own

If it's a project, it moves to processing. The system researches it, watches the relevant YouTube videos, checks what tools already exist, and turns the mess into a proposed plan

Here's the only human step. He opens a Claude Code session and reviews the plan. Likes this, cuts that, approves it. That's the entire time he touches it

On approval the plan becomes a full requirements doc. Then one command, promote project, ships it to his machine and execution starts

A project manager agent spins up, reads the requirements, and creates the sub-agents that specific project needs. A website gets a developer agent. Research gets a research agent. They build it

Idea to execution, and he's in the loop for about two minutes

The trick isn't capturing ideas. Everyone has notes full of those. It's the layer that decides, plans, and executes without waiting on you

Bookmark this

[Ole Lehmann @itsolelehmann]

this is just the most ridiculous AI application i've ever seen lol

a Peter Thiel-backed startup that makes AI collars for cows is now worth $2 billion

and the more I read about it the cooler it gets. here's how it works:

every cow wears a solar-powered collar that talks to a network of radio towers and an app on the farmer's phone

instead of building physical fences, the farmer draws the fence on a map in the app, and the collar keeps each cow inside that invisible line using GPS

when a cow drifts toward the edge, the collar plays a sound to steer her, and a gentle vibration tells her which way to go.

it's like how a car beeps as you back up toward a wall

the cows learn the cues in a few days

so now a rancher can move an entire herd to fresh grass by sliding the fence on a map, without driving out to open a single gate

and that same collar is reading each cow's body the whole time.

it takes five readings per second on every animal, so the AI can catch a cow that's sick, injured, ready to breed, or about to give birth before a person would ever notice walking the field

so it's basically like WHOOP for cows too lol

and they gave the AI behind it the perfect name: the Cowgorithm

it's been trained on more than 7 billion hours of real cow behavior, which is why Halter calls the data its real asset and moat.

they know what a normal cow looks like better than anyone, so they can flag the odd one out instantly

it's already on more than 1M cattle across New Zealand, Australia, and a bunch of US states.

California even used it on public land to graze cattle in patterns that clear dry brush and slow down wildfires

costs about $5 to $8 per cow per month

a job that used to mean barbed wire, gates, and driving the fields all day is now mostly 1 person on their phone

[Suryansh Tiwari @Suryanshti777]

Claude Code feels completely different once you install this.

Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment.

It scans your project and recommends:

→ hooks
→ skills
→ MCP servers
→ subagents
→ automations

Then sets everything up step-by-step for you.

Most people are using Claude Code completely vanilla…

which is why their experience feels messy.

The real power comes from the ecosystem around it.

Install:

/plugin install claude-code-setup@claude-plugins-official

Bookmark this before you forget it.

[Noisy @noisyb0y1]

THIS CHINESE DEVELOPER'S OBSIDIAN BRAIN MAPS EVERY CLIENT CONVERSATION - ZERO EMPLOYEES, $40,000/MONTH, CATCHES PROBLEMS BEFORE CLIENTS DO

every node on screen is a conversation - green for happy clients, yellow for neutral, red for problems that need attention - the brain sees the emotional state of the entire business in real time

this is not a CRM, not a dashboard, not a spreadsheet - it's a living map of every client interaction that fires connections and surfaces patterns no human account manager would ever catch

when a cluster starts turning yellow the brain flags it before the client sends the complaint - when a green cluster grows it identifies what's working and replicates it across every other account automatically

he replaced a $15,000/month account management team with one Obsidian brain that never sleeps, never misses a message and never needs a performance review

no employees, no contractors, no standups, no payroll - just one developer, one brain and one delivery system doing the work of 10 people

$40,000/month - solo - from a system that gets smarter every single conversation

[Linus ✦ Ekenstam @LinusEkenstam]

I still can’t believe we walked into a living litmus test of AI music in our Uber back from the bar in SF.

The driver had no clue that his current favorite music that he was blasting was 100% AI generated. completely oblivious to the fact.

he could not wrap his head around it at all.

After some contemplation, he said, I still love it and it’s great. I listen to this everyday and I love it.

suno is def worth more than $5bn

[Chong-U @chongdashu]

I vibe coded a Street Fighter clone
It's called VIBE FIGHTER

Everything with AI
> Code, Sprites, Animations, UI
> Cursor with Opus 4.8
> GPT Image 2.0
> Grok Imagine

Here's a FULL tutorial showing
> Light/Heavy Hits
> Blocking
> Specials

Resources + source code in reply 👇

00:00 Intro
01:13 This Video's Resources
01:58 What we're building
02:45 Step 1: Context
03:21 Step 2. Generating concept art and mockups
04:05 Step 3: Exracting the backgrounds
05:14 Step 4: Character references
06:18 Step 5: Character Sprites & Animations
09:24 Step 6: Build a Character Gym
12:04 Step 7: Build a Playground
14:06 Step 8: Generating menu portraits
15:00 Step 9: Core combat loop
15:27 Step 10: Generating UI & Health Bars
16:57 Step 11: Special Moves and Polish
18:14 Wrap Up

[BosonAI @boson_ai]

Higgs Audio v3 TTS is here.

Built for voice AI that speaks, not just reads:
• 100 languages with single-digit WER/CER
• inline control over emotion, style, prosody, and sound effects
• API, Workspace, and open weights
• Blog 👉 https://t.co/C8frDlfO5D

Watch the demo 👇

[Simon Kuestenmacher @simongerman600]

Sure, GoogleMaps is cool but not half as cool as ORBIS. The Stanford Geospatial Network Model of the Roman World allows you to check travel times during Roman times. You can choose your mode of travel too! Source: https://t.co/zgVnhUdbKh

[Yahav Fuchs @YahavFuchs]

https://t.co/YYRr55NWzs

[Indu Tripathi @InduTripat82427]

GAME DEVELOPERS ARE OFFICIALLY COOKED 🤯

Someone just vibe-coded a full pixel pirate game with Claude Opus 4.8.

You can sail ships, battle enemies, explore the open sea, and play it right in your browser — even on mobile.

A few years ago, this would've taken an indie studio, artists, sound designers, and months of work.

Now it's one person, Claude Code, and a weekend.

The barrier to building real games is disappearing faster than most people realize. 🚢🔥