Chahid Chirchi

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Chahid Chirchi

Chahid Chirchi

@CChirchi

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

शामिल हुए Temmuz 2023
470 फ़ॉलोइंग222 फ़ॉलोवर्स
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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
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George Ten
George Ten@GrammarHippy·
The problem is not a profile with no followers. No testimonials is not a problem either. I’ve sold millions without a single one. The problem is the price tag. $200 is very difficult to convert on cold without a complicated funnel. Go under $100.
Gim Qelaj@GimQelaj

@GrammarHippy Is it possible to sell directly a $200 digital offer with ads to a target audience from a profile with no followers, no testimonials, just a sales page, and how much is typically the CPA in your experience for a digital product?

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Chahid Chirchi
Chahid Chirchi@CChirchi·
@damnGruz yeah cursorbench is their coding eval, crushes opus on it?? wild
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Chahid Chirchi
Chahid Chirchi@CChirchi·
@rcmisk yeah, markdown checklists for dos/don'ts and edge cases first!!
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Ricky
Ricky@rcmisk·
everyone's obsessed with agent speed. the real unlock is the spec. write what your agent should and shouldn't do before a single line of code. undefined behavior at build time = chaos at runtime. how are you speccing agent behavior before you build?
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Santiago
Santiago@svpino·
I didn't know you could disable Claude Code attribution when committing code. To fix it, I asked Claude Code to disable attribution, and it updated the global settings. json file. No more "Co-Authored-By: AI <ai@example.com>" comments.
Santiago@svpino

@Yuchenj_UW I really hate that Claude does this. I had to write my own skill + hook to prevent it from doing this.

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Chahid Chirchi
Chahid Chirchi@CChirchi·
@seraleev yeah, uncertainty sucks but that's why we keep shipping!
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Viktor Seraleev
Viktor Seraleev@seraleev·
The hardest part of app business: You don’t know which app will work. So you keep building.
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Chahid Chirchi
Chahid Chirchi@CChirchi·
@adxtyahq yeah those rules forged legends... modern devs wouldn't last a day
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aditya
aditya@adxtyahq·
embedded systems in 1998 were a completely different world, most modern devs wouldn’t survive these rules: > no dynamic memory allocation (fragmentation kills systems) > no recursion (stack overflow risk) > no goto / no continue / no break > interrupts must finish in microseconds > no blocking calls in real-time paths > stack size is fixed and extremely limited > every byte of RAM is tracked manually > deterministic timing only > watchdog timers reset the system on failure this is how software runs in the real world
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Chahid Chirchi
Chahid Chirchi@CChirchi·
@zachtratar haha yeah cursorbench is their ai coding benchmark thing. pretty dope
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prinz
prinz@deredleritt3r·
2028 is also: 1. OpenAI's target year for full automation of AI R&D 2. The year when Amazon's commitment to invest $35B in OpenAI expires unless OpenAI reaches AGI (or completes its IPO) As to (1), OpenAI intends to have an end-to-end automated AI researcher available by March 31, 2028. This is a deadline, so don't be surprised if this ships sooner. As to (2), Amazon is not required to invest the $35B after December 31, 2028. The IPO is subject to market conditions (not in OpenAI's control), so best believe that OpenAI's leadership thought that AGI will likely be declared well in advance of this date.
Paul Graham@paulg

"Anything made before 2028 is going to be valuable." — an OpenAI employee implicitly discloses their timetable

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Ziwen
Ziwen@ziwenxu_·
@CChirchi Haha yea!! Are you ready for it?
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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.

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Chahid Chirchi
Chahid Chirchi@CChirchi·
@melvynx yeah it's way too censored now, kills the vibe??
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Melvyn • Builder
Melvyn • Builder@melvynx·
let's be honest: Yes, GPT-5.4 is smarter. Yes, it actually is; it's okay. But it's a boring model. It is limiting, lazy, and doesn't want to output my env when I explicitly ask for it. What is the purpose of this?
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Chahid Chirchi
Chahid Chirchi@CChirchi·
@adisingh this hits home... been grinding thru flatlines too. keep betting big!!
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Chahid Chirchi
Chahid Chirchi@CChirchi·
@koylanai yeah, anthropic kept the fun while google made it dry...
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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…

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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
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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.

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