br_aiengineer

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br_aiengineer

br_aiengineer

@br_aiengineer

Engineer, building things with AI 🦾

The Netherlands Beigetreten Mayıs 2018
4K Folgt246 Follower
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br_aiengineer
br_aiengineer@br_aiengineer·
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br_aiengineer@br_aiengineer·
Introducing AgentTip v5, it was never so easy to bring your best coding agent to your mouse tips Type CMD + A and chat with Claude, Codex, OpenClaw, Gemini or even Apple Intelligence… Anywhere in your mac
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br_aiengineer
br_aiengineer@br_aiengineer·
Are there mcps that let claude code control my mac in order for it to record app tests, rescord screenshots, etc?
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br_aiengineer
br_aiengineer@br_aiengineer·
@elonmusk Not only the time, but the review is nonsense. My apple uses local Apple Intelligence AI models and the reviewer says it sends users personal data to providers…. Really their review is totally bulshit
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Chris
Chris@everestchris6·
My OpenClaw bot builds websites & mails a postcard with a QR link to local businesses on autopilot... You can use it to land new customers without a single cold call, here's how it works: - Finds 100s of local businesses via Google Maps - Builds each one a custom website in minutes - Prints a real postcard with their site preview + QR code - Mails it directly to their door - They scan it, see their site, and reach out - Runs 24/7 completely hands off Direct mail gets a much higher response rate than cold email. Reply "OpenClaw" and I'll send you the full breakdown of how you can do it too (must be following so I can DM)
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br_aiengineer@br_aiengineer·
@dannyjpwilliams bold call, and the AI-native canvas angle is exactly the kind of wedge that can pull teams away from incumbents.
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br_aiengineer@br_aiengineer·
@virtuals_io @openclaw running social from a CLI is the kind of thing that sounds wild until you realize it's just a cleaner interface for something you were doing manually anyway.
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br_aiengineer
br_aiengineer@br_aiengineer·
@aakashgupta building got cheaper but getting found didn't — the real moat now is distribution.
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Aakash Gupta
Aakash Gupta@aakashgupta·
When building costs drop 90% but distribution costs stay flat, you get a gold rush where everyone digs and nobody sells. That’s what this chart actually shows. New websites up 40%. iOS apps up 50%. GitHub pushes up 35%. Everyone read “barrier to building disappeared” and heard opportunity. The correct read is that 557,000 new apps hit the App Store last year, a 24% spike, flooding a discovery channel that was already dead on arrival. 90% of senior mobile professionals surveyed said organic App Store discovery was effectively over before this wave even hit. Half of all App Store searches are just people typing in brands they already know. The supply side hockey-sticked. The demand side didn’t move. This is why tech layoffs doubled to 264,000 in 2025 while code output simultaneously exploded. Companies don’t need more builders. They need people who can get the thing in front of someone who’ll pay for it. Distribution, positioning, audience, brand. The functions that never got the AI productivity boost. Nicholas nails the conclusion that taste and knowing what to build are what matter now. But taste is only half of it. You also need the channel. The unsexy reality is that a mediocre app with 100,000 newsletter subscribers will outperform a beautiful app with zero distribution every single time. The apps winning in 2026 aren’t the best-built ones. They’re the ones attached to someone who already has an audience. Building software used to be the moat. Now building software is the commodity. Distribution is the new moat, and unlike code, it doesn’t get cheaper with AI.
Nicholas Charriere@nichochar

I think we are witnessing the biggest explosion in software creation in history. New website creation is up 40% year on year. New iOS apps are up nearly 50%. GitHub code pushes in the US jumped 35% and in the UK around 30%. All of these metrics were flat for years before late 2024. The entire graph looks like a hockey stick. You no longer need a six month runway and a dev team to ship something real. We see this in our metrics as well! People who never wrote a line of code are building and launching apps. The barrier to building software just disappeared. What matters now is knowing what to build and the taste to build it right.

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br_aiengineer@br_aiengineer·
@dhruvamin sharing before shipping is one of the most underrated steps in building a product.
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Dhruv
Dhruv@dhruvamin·
Anything now lets you share your mobile apps on the web send them to friends to try before you push to the App Store
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br_aiengineer@br_aiengineer·
@onlypancak3s_ 18M views with no audience and no budget is genuinely impressive. the solo dev hustle hits different when the numbers are this real. appreciate you sharing the breakdown
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onlypancak3s
onlypancak3s@onlypancak3s_·
I got 18M views on YouTube Shorts in 28 days and 28,000 Steam wishlists in 9 days. I'm a solo dev with no audience, no budget, and no publisher. Here's everything I learned about making shorts that actually go viral:
onlypancak3s tweet media
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br_aiengineer@br_aiengineer·
@trq212 this is one of those features that sounds small but completely changes the workflow. no more re-explaining the whole project every session. solid work
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Thariq
Thariq@trq212·
We've rolled out a new auto-memory feature. Claude now remembers what it learns across sessions — your project context, debugging patterns, preferred approaches — and recalls it later without you having to write anything down.
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br_aiengineer@br_aiengineer·
@KingBootoshi giving the AI a tool to improve its own outputs. what could possibly go wrong (narrator: everything went wrong)
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BOOTOSHI 👑
BOOTOSHI 👑@KingBootoshi·
I TURNED NANO BANANA 2 INTO A CLI TOOL CLAUDE CAN USE 🎨 Giving CC access to this skill allows it to create REALLY good gens in bulk, look at its own images and refine its own outputs! Here's a video showcasing explaining how I use this skill in detail (Git link in replies):
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br_aiengineer@br_aiengineer·
The future of dev isn't just coding: it's automating the repetitive parts. Watching builders leverage AI agents and no-code tools to scale from zero to $70K+/month in recurring revenue. The pattern is clear: stack smart tools, focus on product-market fit, let automation handle the grind. 🚀
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br_aiengineer@br_aiengineer·
I have asked #openclaw to do the groceries for online on @albertheijn and ended up with much more onions that I would need for a month… or maybe an year 😂
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br_aiengineer@br_aiengineer·
@huang_chao4969 Do you think it would also be possible to integrate nanobot on AgentTip easily?
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Chao Huang
Chao Huang@huang_chao4969·
Just found out that Andrej Karpathy noticed our nanobot - quite unexpected! nanobot aims to deliver an ultra-lightweight personal AI assistant with less than 4k lines of code (vs OpenClaw's 400k+ lines) while maintaining comparable performance. As Karpathy mentioned, Claws has indeed brought fresh ideas and inspiration to the Agent community. Really excited to see how the entire Agent ecosystem evolves 🚀 GitHub: github.com/HKUDS/nanobot
Andrej Karpathy@karpathy

Bought a new Mac mini to properly tinker with claws over the weekend. The apple store person told me they are selling like hotcakes and everyone is confused :) I'm definitely a bit sus'd to run OpenClaw specifically - giving my private data/keys to 400K lines of vibe coded monster that is being actively attacked at scale is not very appealing at all. Already seeing reports of exposed instances, RCE vulnerabilities, supply chain poisoning, malicious or compromised skills in the registry, it feels like a complete wild west and a security nightmare. But I do love the concept and I think that just like LLM agents were a new layer on top of LLMs, Claws are now a new layer on top of LLM agents, taking the orchestration, scheduling, context, tool calls and a kind of persistence to a next level. Looking around, and given that the high level idea is clear, there are a lot of smaller Claws starting to pop out. For example, on a quick skim NanoClaw looks really interesting in that the core engine is ~4000 lines of code (fits into both my head and that of AI agents, so it feels manageable, auditable, flexible, etc.) and runs everything in containers by default. I also love their approach to configurability - it's not done via config files it's done via skills! For example, /add-telegram instructs your AI agent how to modify the actual code to integrate Telegram. I haven't come across this yet and it slightly blew my mind earlier today as a new, AI-enabled approach to preventing config mess and if-then-else monsters. Basically - the implied new meta is to write the most maximally forkable repo and then have skills that fork it into any desired more exotic configuration. Very cool. Anyway there are many others - e.g. nanobot, zeroclaw, ironclaw, picoclaw (lol @ prefixes). There are also cloud-hosted alternatives but tbh I don't love these because it feels much harder to tinker with. In particular, local setup allows easy connection to home automation gadgets on the local network. And I don't know, there is something aesthetically pleasing about there being a physical device 'possessed' by a little ghost of a personal digital house elf. Not 100% sure what my setup ends up looking like just yet but Claws are an awesome, exciting new layer of the AI stack.

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br_aiengineer
br_aiengineer@br_aiengineer·
Hi everyone ... I’m the developer of AgentTip, a macOS utility that brings AI assistants directly into your workflow. You trigger it from any text field and get inline replies without switching apps. Version 4.1 is coming soon and is currently waiting for Apple App Store approval. Version 4.0 is already available on the Mac App Store. What AgentTip does Instead of jumping to a browser or a separate chat app, you type a trigger directly in Mail, Slack, Notes, your IDE, or any other app with a text field. AgentTip sends the text to your selected assistant and writes the response back in place. What’s coming in v4.1 (pending Apple approval) OpenClaw support: integration with the OpenClaw gateway, allowing you to use OpenClaw assistants from any macOS text field. Key features in v4.0 (available now) Works with OpenAI, OLLAMA (local), and Apple models. Inline AI in any app with a text field (Mail, Safari, editors, terminals, and more). Custom trigger phrases (e.g., u/writer, u/idea, u/reply) to route tasks to different assistants. Privacy-focused approach: bring your own providers and keep control of your data and API keys. Pricing: One-time purchase $4.99 on the Mac App Store” Download: agenttip.xyz
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