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My current setup :
From 9 -> 5 => Lenovo Thinkpad E16
From 5 -> 9 => HP OMEN (2016)
Switching between them with my favorite tech gadget (2025) a one button KVM switch
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Chahid Chirchi
8.1K posts
Chahid Chirchi
@CChirchi
Vibe coding apps to quit my 9-5. Building in public.
Entrou em Temmuz 2023
470 Seguindo222 Seguidores
@andrewchen yeah ai agents owning supply side changes everything
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marketplace startups are destined to be massively reinvented by AI. The weak form is already happening, where we use LLMs for customer support, supply/demand matching, etc. That’s easy
The strong form is to figure out how much of the supply side of the marketplace can be turned agentic and ultimately, robotic. “Uber for X” will have consumers requesting robots to do X. Every on-demand service of the 2010s will instruct a robotaxi or delivery robot. Or if you’re prev used a marketplace to hire X, then you “hire” an agent instead. You won’t need to app developer, because there’s agents to build your app
This will impact marketplace cos differently. Of course some marketplaces - like Airbnb - inherently work in the physical and will leverage AI around the core value prop. And some are bound to lose their network effects as matching fragmented supply/demand turns into an AI problem. Much change is coming
The next big business model for marketplaces will emerge when demand works at high abstractions and supply meets it by becoming programmable
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@alexcooldev same here, marketing > coding these days... no users = no point
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I come from a dev background.
Used to think: build something great → users will come.
Reality:
No distribution = no product.
Now I spend more time on marketing than coding.
Because what’s the point of building… if no one sees it?
Ernesto Lopez@ErnestoSOFTWARE
Be this guy > Spend 7 months developing a micro SAAS > Realize you have 0 users and you are building for nobody > Pause development and focus 100% on marketing > Week 1 you make $1,900 MRR Stop over engineering Commit yourself fully to marketing.
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New record for @shortcutdotnews yesterday:
121 new subscribers in a single day 🤘
Luke Miler@lukemiler
New growth record for @shortcutdotnews yesterday 84 new subscribers in a single day 🤙
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@rileybrown hell yeah i'm in!! right after i update my iphone tho
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That's it, i'm done with apple.
We need to band together.
Let's all switch to Android.
Who's with me?
- sent from my macbook, connected to my iPhone hotspot, while wearing air pods.
Wes Roth@WesRoth
Apple has quietly halted App Store updates for popular AI "vibe-coding" applications most notably the $9 billion startup Replit and mobile app builder Vibecode. After months of pushback, Apple is reportedly demanding major UX changes. Replit is being asked to force its generated app previews to open in an external web browser rather than natively inside its app. Vibecode was told it must completely remove the ability to generate software specifically for Apple devices.
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@JJEnglert @openclaw great breakdown jj! openclaw for life sounds perfect
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The simplest way to think about @openclaw vs Cowork:
OpenClaw = your personal agent (runs 24/7, any model, lives in your phone)
Cowork = your executive assistant (connected to Slack, Gmail, Calendar, etc.)
Use OpenClaw for your life.
Use Cowork for your work.
In this video I break down:
→ How I set up both from scratch
→ The tasks that make each one incredible
→ My best tips for getting real results from Day 1
Full breakdown + free setup guides for each in comments below.
Which one are you setting up first?
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@ivanburazin game changer. agents gonna own saas infrastructure imo
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Recently met the head of product at a SaaS with a $100B+ market cap.
They're building a headless version of their flagship product specifically for agents.
Not the cloud version with a UI. Actual infrastructure level APIs that agents can call programmatically.
Imo, this is a far more accurate evolution of traditional SaaS than the current SaaSpocalypse BS.
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@ziwenxu_ whoa, next they'll pay us to fold laundry for robot maids??
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You've been training robots for years without knowing it.
CAPTCHA trained their cars on your daily commute.
Pokémon Go mapped the world while you chased Pikachu.
Now DoorDash wants to pay you to record yourself scrubbing dishes.
Robotic AI is about to learn from your kitchen sink.
This isn’t the future. It’s happening right now.
Every gig app is quietly building its own training set.
Your chores are the new dataset.
The next wave of AI is learning from your mess.
Polymarket@Polymarket
JUST IN: DoorDash rolls out new app that pays people to film themselves doing chores for AI training data.
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This was fun to watch.
It did everything, page creation, app creation on meta, campaign setup.
Never setting up meta ads manually again.
Anum @anumness
Letting Claude Cowork take care of setting up Meta ads for me this time.
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@tibo_maker yeah, keep building! every failure's a lesson for the win
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once again, build more things
failures are not failures if you learn something that will eventually make you successful
Nikita Bier@nikitabier
We tried something. It didn’t work. And we took those learnings and decided to reward Articles instead of single posts. Articles have grown 20x since December and they are now the largest blogging product on the internet by traffic. In consumer product development, you sometimes take non-linear paths to discover opportunity.
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If you could only choose three between intelligence, speed, and cost, which three would you choose?
Cursor@cursor_ai
Composer 2 is now available in Cursor.
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this is the founder equivalent of becoming a paperclip maximizer. "increase shareholder value," they said. we must increase our TAM to 8 billion therefore we will literally make our core product a kitchen sink for "general purpose work". why. just make separate products if you are so inclined. what a completely dilutive move. going as horizontal as possible with no opinion
Anton Osika – eu/acc@antonosika
Introducing Lovable for more general tasks. Lovable has always been for building apps. Today it also becomes your data scientist, your business analyst, your deck builder, and your marketing assistant. This is a big step toward what Lovable is becoming: a general-purpose co-founder that can do anything. See examples below.
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@johnrushx spot on, plugins as apps will empower small teams big time!!
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The end game is that every serious tech company gonna build “general purpose agent” that can do anything (code, research, assist, etc).
Same as the end game for mobile was a touchscreen with OS
The skills/plugins/connectors/ will be the “apps” of the post-AI era for small teams
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@myeyesshine_ @ahrefs yeah small pubs are getting crushed... ai not helping much
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Chartbeat data shows Google Search referrals down 34% overall, 60% for small publishers. AI chatbots still <1% of referral traffic.
This alogns with @ahrefs data showing 18% search traffic decline across 74.7K sites while AI replaced less than 5% of the loss.
The traffic isn’t being replaced. It’s being absorbed. AI answers the query directly and the user never clicks. The value is shifting from traffic to influence…. and most analytics dashboards can’t see influence.
Nice share @NexusBen
9to5Google@9to5Google
Google Search referrals to the web have plummeted, AI links are 'less than 1%' of traffic 9to5google.com/2026/03/18/goo… by @nexusben
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@brian_lovin haha yeah the c-names are outta control... speed wins tho
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Using Cursor again today for the first time in a while. Still using Claude Code, Codex, Conductor, of course.
First: someone needs to rename because the C-named companies are out of control.
Second: fast is good. Composer 2 is good because it's fast. That's all you need to know to at least give it a try.
Third: I am grateful that I can switch between all of these tools in an instant. Little-to-no lock in. I pick the thing that gives me the most intelligence-per-second-per-dollar and am happy.
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@witcheer whoa native multiplayer? that's a game changer, trying it rn
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google turned AI Studio into a full-stack app builder. this is a big deal and most people will scroll past it.
// multiplayer is native. real-time games, collaborative workspaces, shared tools, the agent handles all the syncing logic automatically
// firebase integration is built in. the agent detects when your app needs a database or login, provisions Cloud Firestore and Firebase Auth after you approve. no manual setup
// external libraries just work. ask for animations and it installs Framer Motion. ask for icons and it pulls Shadcn. it figures out the dependency, not you
// bring your own API keys. connect Maps, payment processors, databases, stored in a new Secrets Manager. this is what turns prototypes into actual products
// persistent sessions. close the tab, come back later, everything is where you left it. sounds basic but no other AI coding tool does this properly
// the agent now understands your full project structure and chat history across edits. not just the current file, the whole app context
// Next.js support alongside React and Angular
google is building the path from prompt to deployed production app without leaving one interface.
the video says everything.
Google AI Studio@GoogleAIStudio
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Hot take from looking at @github Copilot telemetry: benchmarks make coding models look wildly different. Production workflows make them look much more similar. 👀
We looked at 23M+ Copilot requests and examined one simple metric: code survivability.
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🚨 100M TOKEN CONTEXT WITHOUT COLLAPSE
> <9% degradation from 16K → 100M
> beats RAG + rerank + SOTA pipelines
> runs on just 2×A800 GPUs
we could be back
艾略特@elliotchen100
论文来了。名字叫 MSA，Memory Sparse Attention。 一句话说清楚它是什么： 让大模型原生拥有超长记忆。不是外挂检索，不是暴力扩窗口，而是把「记忆」直接长进了注意力机制里，端到端训练。 过去的方案为什么不行？ RAG 的本质是「开卷考试」。模型自己不记东西，全靠现场翻笔记。翻得准不准要看检索质量，翻得快不快要看数据量。一旦信息分散在几十份文档里、需要跨文档推理，就抓瞎了。 线性注意力和 KV 缓存的本质是「压缩记忆」。记是记了，但越压越糊，长了就丢。 MSA 的思路完全不同： → 不压缩，不外挂，而是让模型学会「挑重点看」 核心是一种可扩展的稀疏注意力架构，复杂度是线性的。记忆量翻 10 倍，计算成本不会指数爆炸。 → 模型知道「这段记忆来自哪、什么时候的」 用了一种叫 document-wise RoPE 的位置编码，让模型天然理解文档边界和时间顺序。 → 碎片化的信息也能串起来推理 Memory Interleaving 机制，让模型能在散落各处的记忆片段之间做多跳推理。不是只找到一条相关记录，而是把线索串成链。 结果呢？ · 从 16K 扩到 1 亿 token，精度衰减不到 9% · 4B 参数的 MSA 模型，在长上下文 benchmark 上打赢 235B 级别的顶级 RAG 系统 · 2 张 A800 就能跑 1 亿 token 推理。这不是实验室专属，这是创业公司买得起的成本。 说白了，以前的大模型是一个极度聪明但只有金鱼记忆的天才。MSA 想做的事情是，让它真正「记住」。 我们放 github 上了，算法的同学不容易，可以点颗星星支持一下。🌟👀🙏 github.com/EverMind-AI/MSA
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@codyschneiderxx that's genius cody, been testing this and ads convert way better!!
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the best way to make paid ads for ecom is actually through organic social
hire creators who are already in your niche make one video per day and post it across tiktok, Instagram, and YouTube Shorts
get about 10 of them on your payroll
then the ads that pop off, you take those and put paid ad spend behind them
share the best-performing ads with the rest of the creators, and create multiple variations of the same ads
and then, for all of this you track it in Graphed .com and analyze the data there
for all creators, have them submit the post URL through a Google Form that puts it into a Google Sheet
make an App Script that uses the Appify API to scrape the view data of those posts after 24 hours
connect that Google Sheet to Graphed to Track the impressions over time and the top posts etc
and connect Google Ads, Facebook Ads, and TikTok Ads to Graphed for paid ads analysis and better management
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