Walid Debbech

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Walid Debbech

Walid Debbech

@DebbechWalid

SaaS Enthusiast making https://t.co/hpWT6O5mj6 @QuickPerf contributor

เข้าร่วม Haziran 2017
1.3K กำลังติดตาม189 ผู้ติดตาม
ทวีตที่ปักหมุด
Walid Debbech
Walid Debbech@DebbechWalid·
I am super excited to be a new contributor to the @QuickPerf project. Thank you @jean_bisutti. You've been a great mentor!
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Sahil Lavingia
Don’t confuse laziness and fear of failure
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Walid Debbech
Walid Debbech@DebbechWalid·
@levelsio I don't like neither driving, nore cars .. I had my driving license after having two kids.. because I had to..
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Micheal D
Micheal D@micheal_ws18·
To all my gym goers… What’s the one exercise that changed your physique the most? 💪🏾
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Rouge 🇫🇷
Rouge 🇫🇷@BaguetteWeapons·
When comparing the Rafale and the Eurofighter, just remember the Germans, Brits and Italians trust their own design so much they bought F-35s
Rouge 🇫🇷 tweet mediaRouge 🇫🇷 tweet mediaRouge 🇫🇷 tweet mediaRouge 🇫🇷 tweet media
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Walid Debbech
Walid Debbech@DebbechWalid·
@bluewmist You'll be proud of yourself when you force yourself through laziness
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blue
blue@bluewmist·
People who exercise even when they don't feel like it, what's your trick?
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Estelle Midi
Estelle Midi@EstelleMidi·
💪 Les jeunes sont de plus en plus nombreux à la salle de sport 🎙️ @BdesMonstiers : "J'appelle ça la génération "Teubé Inshape" ! C'est une génération qui va pousser de la fonte, bouffer de la protéine, "je me mate dans la glace" et je bouffe de la Whey..." #EstelleMidi
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Le Dev ULTIME 🍜
Le Dev ULTIME 🍜@ledevultime·
Est-ce que vous pensez réellement que le dev est mort ? Et si oui, vous faites quoi pour préparer la suite ?
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Walid Debbech
Walid Debbech@DebbechWalid·
@hridoyreh Looks like a lot of work for a solopreneur ... 😮‍💨😱
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Hridoy Rehman
Hridoy Rehman@hridoyreh·
📂 SaaS ┃ ┣ 📂 Idea ┃ ┣ 📂 Problem Discovery ┃ ┣ 📂 Market Research ┃ ┣ 📂 Niche Selection ┃ ┣ 📂 Competitor Analysis ┃ ┗ 📂 Opportunity Mapping ┃ ┣ 📂 Validation ┃ ┣ 📂 Customer Interviews ┃ ┣ 📂 Landing Page Test ┃ ┣ 📂 Waitlist ┃ ┣ 📂 Pre Sales ┃ ┗ 📂 Demand Testing ┃ ┣ 📂 Planning ┃ ┣ 📂 Product Roadmap ┃ ┣ 📂 Feature Prioritization ┃ ┣ 📂 MVP Scope ┃ ┣ 📂 Tech Stack ┃ ┗ 📂 Development Plan ┃ ┣ 📂 Design ┃ ┣ 📂 Wireframes ┃ ┣ 📂 UI Design ┃ ┣ 📂 UX Flows ┃ ┣ 📂 Prototype ┃ ┗ 📂 Design System ┃ ┣ 📂 Development ┃ ┣ 📂 Frontend ┃ ┣ 📂 Backend ┃ ┣ 📂 APIs ┃ ┣ 📂 Database ┃ ┣ 📂 Authentication ┃ ┗ 📂 Integrations ┃ ┣ 📂 Infrastructure ┃ ┣ 📂 Cloud Hosting ┃ ┣ 📂 DevOps ┃ ┣ 📂 CI CD ┃ ┣ 📂 Monitoring ┃ ┗ 📂 Security ┃ ┣ 📂 Testing ┃ ┣ 📂 Unit Testing ┃ ┣ 📂 Integration Testing ┃ ┣ 📂 Bug Fixing ┃ ┣ 📂 Performance Testing ┃ ┗ 📂 Beta Testing ┃ ┣ 📂 Launch ┃ ┣ 📂 Landing Page ┃ ┣ 📂 Product Hunt ┃ ┣ 📂 Beta Users ┃ ┣ 📂 Early Adopters ┃ ┗ 📂 Public Release ┃ ┣ 📂 Acquisition ┃ ┣ 📂 SEO Wins ┃ ┣ 📂 Content Marketing ┃ ┣ 📂 Social Media ┃ ┣ 📂 Cold Email ┃ ┣ 📂 Influencer Outreach ┃ ┗ 📂 Affiliate Marketing ┃ ┣ 📂 Distribution ┃ ┣ 📂 Directories ┃ ┣ 📂 SaaS Marketplaces ┃ ┣ 📂 Communities ┃ ┣ 📂 Partnerships ┃ ┗ 📂 Integrations ┃ ┣ 📂 Conversion ┃ ┣ 📂 Sales Funnel ┃ ┣ 📂 Free Trial ┃ ┣ 📂 Freemium Model ┃ ┣ 📂 Pricing Strategy ┃ ┗ 📂 Checkout Optimization ┃ ┣ 📂 Revenue ┃ ┣ 📂 Subscriptions ┃ ┣ 📂 Upsells ┃ ┣ 📂 Add-ons ┃ ┣ 📂 Annual Plans ┃ ┗ 📂 Enterprise Deals ┃ ┣ 📂 Analytics ┃ ┣ 📂 User Tracking ┃ ┣ 📂 Funnel Analysis ┃ ┣ 📂 Cohort Analysis ┃ ┣ 📂 KPI Dashboard ┃ ┗ 📂 A/B Testing ┃ ┣ 📂 Retention ┃ ┣ 📂 User Onboarding ┃ ┣ 📂 Email Automation ┃ ┣ 📂 Customer Support ┃ ┣ 📂 Feature Adoption ┃ ┗ 📂 Churn Reduction ┃ ┣ 📂 Growth ┃ ┣ 📂 Referral Programs ┃ ┣ 📂 Community Building ┃ ┣ 📂 Product Led Growth ┃ ┣ 📂 Viral Loops ┃ ┗ 📂 Expansion Strategy ┃ ┗ 📂 Scaling ┣ 📂 Automation ┣ 📂 Hiring ┣ 📂 Systems ┣ 📂 Global Expansion ┗ 📂 Exit Strategy
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Austin
Austin@IamAroke·
Backend Developer interview: We can write 80% of our code with AI why should we still hire you. What will be your response?
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Walid Debbech รีทวีตแล้ว
Daniel Lockyer
Daniel Lockyer@DanielLockyer·
It's sad that we promote and encourage complexity in the tech industry I'd love to see more of a push towards simple solutions to problems
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Walid Debbech รีทวีตแล้ว
GitHub
GitHub@github·
It's true: TypeScript surpassed Python and JavaScript to become the most-used language on GitHub. 📈
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Howie Dewin
Howie Dewin@howie4317694102·
LINUX KERNEL SOURCE CODE JUST LEAKED ON GITHUB
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Walid Debbech รีทวีตแล้ว
Naval
Naval@naval·
Is Traditional Software Engineering Dead? “Does this mean that traditional software engineering is dead? Absolutely not. Software engineers—even the ones who are not necessarily tuning or training AI models—these are now among the most leveraged people on earth. Sure, the guys who are training and tuning models are even more leveraged because they’re building the tool set that software engineers are using. But software engineers still have two massive advantages on you. First, they think in code, so they actually know what’s going on underneath. And all abstractions are leaky. So when you have a computer programming for you—when you have Claude Code or equivalent programming for you—it’s going to make mistakes. It’s going to have bugs. It’s going to have suboptimal architecture. So it’s not going to be quite right. And someone who understands what’s going on underneath will be able to plug the leaks as they occur. So if you want to build a well-architected application, if you want to be able to even specify a well-architected application, if you want to be able to make it run at high performance, if you want it to do its best, if you want to catch the bugs early, then you’re going to want to have a software engineering background. The traditional software engineer is going to be able to use these tools much better. And there are still many kinds of problems in software engineering that are out of scope for these AI programs today. The easiest way to think about those is problems that are outside of their data distribution. For example, if they need to do a binary sort or reverse a linked list, they’ve seen countless examples of that, so they’re extremely good at it. But when you start getting out of their domain—where you have to write very high-performance code, when you’re running on architectures that are novel or brand new, when you’re actually creating new things or solving new problems, then you still need to get in there and hand code it. At least until either there are so many of those examples that new models can be trained on them, or until these models can sufficiently reason at even higher levels of abstraction and crack it on their own… And remember: there is no demand for average. The average app—nobody wants it, at least as long as it’s not filling some niche that is filled by a superior app. The app that is better will win essentially a hundred percent of the market. Maybe there’s some small percentage that will bleed off to the second-best app because it does some little niche feature better than the main app, or it’s cheaper, or something of the sort. But generally speaking, people only want the best of anything. So the bad news is there’s no point in being number two or number three—like in the famous Glengarry Glen Ross scene where Alec Baldwin says, “First place gets a Cadillac Eldorado, second place gets a set of steak knives, and third place you’re fired.” That’s absolutely true in these winner-take-all markets. That’s the bad news: You have to be the best at something if you want to win. However, the set of things you can be best at is infinite. You can always find some niche that is perfect for you, and you can be the best at that thing. This goes back to an old tweet of mine where I said, “Become the best in the world at what you do. Keep redefining what you do until this is true.” And I think that still applies in this age of AI.”
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Marouane
Marouane@dogofallstreets·
16.02.2026
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Marouane
Marouane@dogofallstreets·
I was about to quit building a Moroccan Bloomberg terminal, had scraping issues, rendering issues, compatibility issues, data storing issues, design issues, filtering issues and many more. I always wanted a simple and clear single layout that tracks everything without checking too many websites. Now, still need to add some statistical widgets (data from HCP and BAM, stock correlation, volume spikes) + charts + an AI assistant for quick explanations, this makes it an all in one dashboard. I had another idea to add stock voting but it will certainly be misleading. Anyways, your suggestions in comments.
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