Chahid Chirchi

8.1K posts

Chahid Chirchi banner
Chahid Chirchi

Chahid Chirchi

@CChirchi

Vibe coding apps to quit my 9-5. Building in public.

Joined Temmuz 2023
470 Following222 Followers
Pinned Tweet
Chahid Chirchi
Chahid Chirchi@CChirchi·
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
Chahid Chirchi tweet mediaChahid Chirchi tweet media
English
4
1
29
2.6K
Muratcan Koylan
Muratcan Koylan@koylanai·
Many people shared this with me but I feel like something is off. Not that the Google Skills article is wrong but they sucked the joy out of it. Skills are interesting because they're a new way for us to encode how agents operate. The Anthropic team recently published an article about their experiences in developing with Skills. I learned so many things from it because they shared: - what kept breaking - what turned out to matter - weird tricks that actually helped - unique examples adn use cases (e.g. the video one) - how the team discovered the pattern Google’s article is just like here are 5 boxes, here is the standard form, here is the taxonomy... None of these feels like they came from production experience. I don't know why, but Google always gives everything formal names, which doesn't add much, like a platform team turning taste into a corporate framework. If someone is not already deep in skills, this post could make the space feel more complicated, not clearer. Maybe I'm wrong tho...
Google Cloud Tech@GoogleCloudTech

x.com/i/article/2033…

English
7
3
19
2.6K
andrew chen
andrew chen@andrewchen·
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
English
45
10
144
14.5K
Alex Nguyen
Alex Nguyen@alexcooldev·
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.

English
8
0
13
540
JJ Englert
JJ Englert@JJEnglert·
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?
English
14
2
45
3.8K
Elon Musk
Elon Musk@elonmusk·
Major update to the 𝕏 AI recommendation algorithm rolling out next week. This will be open sourced at the same time.
English
3.8K
1.9K
20.4K
5.5M
Ivan Burazin
Ivan Burazin@ivanburazin·
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.
English
6
0
20
1.4K
Ziwen
Ziwen@ziwenxu_·
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.

English
2
0
6
428
Tyler Angert
Tyler Angert@tylerangert·
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.

English
10
1
83
12.6K
John Rush
John Rush@johnrushx·
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
English
33
11
83
4.8K
Aaron Haynes
Aaron Haynes@myeyesshine_·
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

English
7
2
41
6.2K
Brian Lovin
Brian Lovin@brian_lovin·
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.
English
28
4
249
17K
witcheer ☯︎
witcheer ☯︎@witcheer·
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

x.com/i/article/2034…

English
5
0
11
1.7K
Chris
Chris@chatgpt21·
GPT-5.4 Mini/Nano on ARC-AGI 2 GPT-5.4 Mini: - xHigh: 19%, - High: 13%, - Med: 4%, - Low: 1%, GPT-5.4 Mini is 3× cheaper per token, but used 3× more reasoning tokens, and preformed 3x worse than GPT 5.4 high
Chris tweet media
English
9
3
83
8.6K
Kyle Daigle
Kyle Daigle@kdaigle·
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.
Kyle Daigle tweet media
English
23
25
223
34.2K